Category: News
How can I install and run .NET Framework v4 on Windows 11?
Hello, I need help installing .NET Framework version v4.0.30319. Once it is installed I try to run it but it asks me to “Turn Windows features on or off in the Control Panel.” It is from this step that I don’t know what to do. I’m speak spanish but i can comunicate also in English
Hello, I need help installing .NET Framework version v4.0.30319. Once it is installed I try to run it but it asks me to “Turn Windows features on or off in the Control Panel.” It is from this step that I don’t know what to do. I’m speak spanish but i can comunicate also in English Read More
Web Developers/ Stalkers Pod Caster with Fire Wall Intelligence Sic Individuals
Good Evening All, I came across this tech community before to get some assistance to get a Key logger off my system, I’m not that dumb when it comes to computer and I can pretty much handle it little but at one tile I was studying for My A+, But that not why I’m here. I’m here because Copilot and My Current training By Baxter Clewis Academy helped me get rid him just now, my assignment was to study the Microsoft Firewall and try to apply them to fix this one that needed to reconfigure, but mine needed it first, So I worked on my own first.
What I wanted to say to all of you here: It would have been so nice if one you would have stepped up to help me, I have been watched via my TV, I have had my pictures of my body stolen, I have my grandkids pictures taken when they were playing on my phone or just sitting here watching a movie at my computer, so now their Dad won’t allow them to come to my Home and that breaks my heart. I have had my information sold on the black market. I have had all my Dad’s Information wiped clean From the Va’s Office who I lost twice on 9/11 the first the planes hit the towers because he had a meeting in one of the Towers that he skipped and on 9/11 2017 when died. I have had all these terrible things done to me by this hacker/ web developer (and do you know how I know this person is a web developer because the program stop doing things it had no reason to so that meant the codes were overwritten by Python or SQL) that has had a great time destroyer my life. Do you know who taught me that Merit America.
You all may be these super intelligent people with all this knowledge about computers but were was your human compassion for a stranger, a woman. I didn’t do nothing to nobody I came in here and begged for help and I was to the point where I was suicidal, I was going crazy trying to go to school writing whole papers at night to wake up and have them deleted. Or submitting papers that had none of the words I wrote on them. To having my passwords changed to my bank accounts to being locked out of my computers to getting out the shower and my TV flickering on and off in bedroom as I try and ger dressed. To having my Alexa say weird things to me in the middle of the night, changing my radio station. I dealt with for the last 18 months, Until I got mad and said if they learned how to do to to me, I can learn how to undo it to me. This isn’t an inspirational story, no not at all see because the very same email I used to sign up with is the very same one the hacker enjoys playing with. If you don’t believe me, contact him @ email address removed for privacy reasons (its the alias to this one) his favorite is email address removed for privacy reasons. He’ll play with you he’s quite entertained by destroying your mindset, please don’t be a woman he’ll really get you. Don’t have cameras either, I have yet to get back into my ring camera. Just thought I dropped and give you smart people a run for your money. Since it took me 18 months to free myself just wanted to see if any of you were smarter than him. Try him! good luck
Good Evening All, I came across this tech community before to get some assistance to get a Key logger off my system, I’m not that dumb when it comes to computer and I can pretty much handle it little but at one tile I was studying for My A+, But that not why I’m here. I’m here because Copilot and My Current training By Baxter Clewis Academy helped me get rid him just now, my assignment was to study the Microsoft Firewall and try to apply them to fix this one that needed to reconfigure, but mine needed it first, So I worked on my own first. What I wanted to say to all of you here: It would have been so nice if one you would have stepped up to help me, I have been watched via my TV, I have had my pictures of my body stolen, I have my grandkids pictures taken when they were playing on my phone or just sitting here watching a movie at my computer, so now their Dad won’t allow them to come to my Home and that breaks my heart. I have had my information sold on the black market. I have had all my Dad’s Information wiped clean From the Va’s Office who I lost twice on 9/11 the first the planes hit the towers because he had a meeting in one of the Towers that he skipped and on 9/11 2017 when died. I have had all these terrible things done to me by this hacker/ web developer (and do you know how I know this person is a web developer because the program stop doing things it had no reason to so that meant the codes were overwritten by Python or SQL) that has had a great time destroyer my life. Do you know who taught me that Merit America. You all may be these super intelligent people with all this knowledge about computers but were was your human compassion for a stranger, a woman. I didn’t do nothing to nobody I came in here and begged for help and I was to the point where I was suicidal, I was going crazy trying to go to school writing whole papers at night to wake up and have them deleted. Or submitting papers that had none of the words I wrote on them. To having my passwords changed to my bank accounts to being locked out of my computers to getting out the shower and my TV flickering on and off in bedroom as I try and ger dressed. To having my Alexa say weird things to me in the middle of the night, changing my radio station. I dealt with for the last 18 months, Until I got mad and said if they learned how to do to to me, I can learn how to undo it to me. This isn’t an inspirational story, no not at all see because the very same email I used to sign up with is the very same one the hacker enjoys playing with. If you don’t believe me, contact him @ email address removed for privacy reasons (its the alias to this one) his favorite is email address removed for privacy reasons. He’ll play with you he’s quite entertained by destroying your mindset, please don’t be a woman he’ll really get you. Don’t have cameras either, I have yet to get back into my ring camera. Just thought I dropped and give you smart people a run for your money. Since it took me 18 months to free myself just wanted to see if any of you were smarter than him. Try him! good luck Read More
The perpendicular point is not on the proposed line.
I would like to ask what is wrong with my code that the green line is not on the fit line?
Now I have to fit two lines to the given coordinates and calculate their perpendicular distance from the center of the circle. Then their slopes will be based on the data_line1.
% 基準綫坐標
data_line1 = readtable("基準綫.csv");
data_line2 = readtable("基準綫2.csv");
x_line1 = data_line1{7:end, 1};
y_line1 = data_line1{7:end, 2};
x_line2 = data_line2{7:end, 1};
y_line2 = data_line2{7:end, 2};
% 圓心坐標
center_x = 37.5;
center_y = 37.5;
% 擬合第一條綫
x1 = x_line1;
y1 = y_line1;
p_line = polyfit(x1, y1, 1);
slope = p_line(1);
intercept = p_line(2);
A = slope;
B = -1;
C = intercept;
x_foot = (center_x – slope * (center_y – intercept)) / (1 + slope^2);
y_foot = slope * x_foot + intercept;
distance = abs(A * center_x + B * center_y + C) / sqrt(A^2 + B^2);
disp(‘垂直距離1:’);
disp(distance);
% 繪製結果
figure;
hold on;
plot(x1, y1, ‘bo’, ‘DisplayName’, ‘原始數據1’); % 原始數據點
plot(center_x, center_y, ‘rx’, ‘MarkerSize’, 10, ‘DisplayName’, ‘圓心’); % 圓心
% 繪製擬合直線
fitted_x = linspace(min(x_line1), max(x_line1), 100);
fitted_y = polyval(p_line, fitted_x);
plot(fitted_x, fitted_y, ‘k–‘, ‘DisplayName’, ‘擬合直線1’);
% 繪製垂直距離線
plot([center_x, x_foot], [center_y, y_foot], ‘r-‘, ‘DisplayName’, ‘垂直距離1’);
% 擬合第二條綫
x2 = x_line2;
y2 = y_line2;
p2_line = polyfit(x2, y2, 1);
intercept_2 = p2_line(2);
C2 = intercept_2;
x_foot_2 = (center_x – slope * (center_y – intercept_2)) / (1 + slope^2);
y_foot_2 = slope * x_foot_2 + intercept_2;
distance_2 = abs(A * center_x + B * center_y + C2) / sqrt(A^2 + B^2);
disp(‘垂直距離2:’);
disp(distance_2);
% 繪製第二條線和垂直距離線
plot(x2, y2, ‘go’, ‘DisplayName’, ‘原始數據2’); % 原始數據點2
fitted_y2 = polyval(p2_line, fitted_x);
plot(fitted_x, fitted_y2, ‘b–‘, ‘DisplayName’, ‘擬合直線2’);
plot([center_x, x_foot_2], [center_y, y_foot_2], ‘g-‘, ‘DisplayName’, ‘垂直距離2’);
legend;
xlabel(‘X軸’);
ylabel(‘Y軸’);
title(‘從圓心到擬合直綫的垂直距離’);
grid on;
hold off;I would like to ask what is wrong with my code that the green line is not on the fit line?
Now I have to fit two lines to the given coordinates and calculate their perpendicular distance from the center of the circle. Then their slopes will be based on the data_line1.
% 基準綫坐標
data_line1 = readtable("基準綫.csv");
data_line2 = readtable("基準綫2.csv");
x_line1 = data_line1{7:end, 1};
y_line1 = data_line1{7:end, 2};
x_line2 = data_line2{7:end, 1};
y_line2 = data_line2{7:end, 2};
% 圓心坐標
center_x = 37.5;
center_y = 37.5;
% 擬合第一條綫
x1 = x_line1;
y1 = y_line1;
p_line = polyfit(x1, y1, 1);
slope = p_line(1);
intercept = p_line(2);
A = slope;
B = -1;
C = intercept;
x_foot = (center_x – slope * (center_y – intercept)) / (1 + slope^2);
y_foot = slope * x_foot + intercept;
distance = abs(A * center_x + B * center_y + C) / sqrt(A^2 + B^2);
disp(‘垂直距離1:’);
disp(distance);
% 繪製結果
figure;
hold on;
plot(x1, y1, ‘bo’, ‘DisplayName’, ‘原始數據1’); % 原始數據點
plot(center_x, center_y, ‘rx’, ‘MarkerSize’, 10, ‘DisplayName’, ‘圓心’); % 圓心
% 繪製擬合直線
fitted_x = linspace(min(x_line1), max(x_line1), 100);
fitted_y = polyval(p_line, fitted_x);
plot(fitted_x, fitted_y, ‘k–‘, ‘DisplayName’, ‘擬合直線1’);
% 繪製垂直距離線
plot([center_x, x_foot], [center_y, y_foot], ‘r-‘, ‘DisplayName’, ‘垂直距離1’);
% 擬合第二條綫
x2 = x_line2;
y2 = y_line2;
p2_line = polyfit(x2, y2, 1);
intercept_2 = p2_line(2);
C2 = intercept_2;
x_foot_2 = (center_x – slope * (center_y – intercept_2)) / (1 + slope^2);
y_foot_2 = slope * x_foot_2 + intercept_2;
distance_2 = abs(A * center_x + B * center_y + C2) / sqrt(A^2 + B^2);
disp(‘垂直距離2:’);
disp(distance_2);
% 繪製第二條線和垂直距離線
plot(x2, y2, ‘go’, ‘DisplayName’, ‘原始數據2’); % 原始數據點2
fitted_y2 = polyval(p2_line, fitted_x);
plot(fitted_x, fitted_y2, ‘b–‘, ‘DisplayName’, ‘擬合直線2’);
plot([center_x, x_foot_2], [center_y, y_foot_2], ‘g-‘, ‘DisplayName’, ‘垂直距離2’);
legend;
xlabel(‘X軸’);
ylabel(‘Y軸’);
title(‘從圓心到擬合直綫的垂直距離’);
grid on;
hold off; I would like to ask what is wrong with my code that the green line is not on the fit line?
Now I have to fit two lines to the given coordinates and calculate their perpendicular distance from the center of the circle. Then their slopes will be based on the data_line1.
% 基準綫坐標
data_line1 = readtable("基準綫.csv");
data_line2 = readtable("基準綫2.csv");
x_line1 = data_line1{7:end, 1};
y_line1 = data_line1{7:end, 2};
x_line2 = data_line2{7:end, 1};
y_line2 = data_line2{7:end, 2};
% 圓心坐標
center_x = 37.5;
center_y = 37.5;
% 擬合第一條綫
x1 = x_line1;
y1 = y_line1;
p_line = polyfit(x1, y1, 1);
slope = p_line(1);
intercept = p_line(2);
A = slope;
B = -1;
C = intercept;
x_foot = (center_x – slope * (center_y – intercept)) / (1 + slope^2);
y_foot = slope * x_foot + intercept;
distance = abs(A * center_x + B * center_y + C) / sqrt(A^2 + B^2);
disp(‘垂直距離1:’);
disp(distance);
% 繪製結果
figure;
hold on;
plot(x1, y1, ‘bo’, ‘DisplayName’, ‘原始數據1’); % 原始數據點
plot(center_x, center_y, ‘rx’, ‘MarkerSize’, 10, ‘DisplayName’, ‘圓心’); % 圓心
% 繪製擬合直線
fitted_x = linspace(min(x_line1), max(x_line1), 100);
fitted_y = polyval(p_line, fitted_x);
plot(fitted_x, fitted_y, ‘k–‘, ‘DisplayName’, ‘擬合直線1’);
% 繪製垂直距離線
plot([center_x, x_foot], [center_y, y_foot], ‘r-‘, ‘DisplayName’, ‘垂直距離1’);
% 擬合第二條綫
x2 = x_line2;
y2 = y_line2;
p2_line = polyfit(x2, y2, 1);
intercept_2 = p2_line(2);
C2 = intercept_2;
x_foot_2 = (center_x – slope * (center_y – intercept_2)) / (1 + slope^2);
y_foot_2 = slope * x_foot_2 + intercept_2;
distance_2 = abs(A * center_x + B * center_y + C2) / sqrt(A^2 + B^2);
disp(‘垂直距離2:’);
disp(distance_2);
% 繪製第二條線和垂直距離線
plot(x2, y2, ‘go’, ‘DisplayName’, ‘原始數據2’); % 原始數據點2
fitted_y2 = polyval(p2_line, fitted_x);
plot(fitted_x, fitted_y2, ‘b–‘, ‘DisplayName’, ‘擬合直線2’);
plot([center_x, x_foot_2], [center_y, y_foot_2], ‘g-‘, ‘DisplayName’, ‘垂直距離2’);
legend;
xlabel(‘X軸’);
ylabel(‘Y軸’);
title(‘從圓心到擬合直綫的垂直距離’);
grid on;
hold off; polyfit, line MATLAB Answers — New Questions
Best analysis to show how EEG ranges are similar
Hello,
Hoping someone can help! Have samples from EEG from multiple patients over multiple points in time that I want to visually show and quantiatively show and prove over time that these patterns are the same. I am thinking of using a wavelet transform over time. The question is can i amalgamate an entire EEG signal to 1 plot. Or would it be better to isolate this pattern at one electrode and compare between patients?
Thank you!Hello,
Hoping someone can help! Have samples from EEG from multiple patients over multiple points in time that I want to visually show and quantiatively show and prove over time that these patterns are the same. I am thinking of using a wavelet transform over time. The question is can i amalgamate an entire EEG signal to 1 plot. Or would it be better to isolate this pattern at one electrode and compare between patients?
Thank you! Hello,
Hoping someone can help! Have samples from EEG from multiple patients over multiple points in time that I want to visually show and quantiatively show and prove over time that these patterns are the same. I am thinking of using a wavelet transform over time. The question is can i amalgamate an entire EEG signal to 1 plot. Or would it be better to isolate this pattern at one electrode and compare between patients?
Thank you! eeg, medical MATLAB Answers — New Questions
How can I autogenerate cells from one sheet to another ONLY if it’s filled out?
I am trying to auto generate sales orders from an order submission. So, I want the cells to only be filled out if that product is selected and the way I know the product is selected is if there’s a quantity on it. So, I only want the items that have a quantity be autogenerated to the sales order. I REALLY hope I make sense.
So for example, if a customer only wants two items, those will get filled out with a quantity on the order submission then on the second sheet (sales order) I want those items to generate automatically. I would only want the product, price and quantity to fill out.
Is there an IF formula that I can do to help with this?
I am trying to auto generate sales orders from an order submission. So, I want the cells to only be filled out if that product is selected and the way I know the product is selected is if there’s a quantity on it. So, I only want the items that have a quantity be autogenerated to the sales order. I REALLY hope I make sense.So for example, if a customer only wants two items, those will get filled out with a quantity on the order submission then on the second sheet (sales order) I want those items to generate automatically. I would only want the product, price and quantity to fill out. Is there an IF formula that I can do to help with this? Read More
Microsoft Store ‘Something happened on our end’ when trying to download apps
Hello,
When trying to download any apps, this error appears on all local accounts. Troubleshooting does not help and I’ve reinstalled windows as well which did not fix the issue.
Hello,When trying to download any apps, this error appears on all local accounts. Troubleshooting does not help and I’ve reinstalled windows as well which did not fix the issue. Read More
Value to differentiate is not traced. It must be a traced real dlarray scalar. Use dlgradient inside a function called by dlfeval to trace the variables.
Hello, I am working on customizing the loss function to minimize dimensionality by maximizing the Bhattacharyya distance distance.
But it came up with a error shown as:
Incorrect use of dlarray/dlgradient
The requested value was not tracked. It must be a real dlarray scalar for tracking. Please use dlgradient to track variables in the function called by dlfestival.
% Parameter settings
M = 10; % Dimension of input features
N = 50; % Number of samples per class
numEpochs = 100;
learnRate = 0.01;
% Generate example data
X = rand(2*N, M);
X(1:N, 🙂 = X(1:N, 🙂 + 1; % Data for class A
X(N+1:end, 🙂 = X(N+1:end, 🙂 – 1; % Data for class B
% Define the neural network
layers = [
featureInputLayer(M, ‘Normalization’, ‘none’)
fullyConnectedLayer(10)
reluLayer
fullyConnectedLayer(3)
];
dlnet = dlnetwork(layerGraph(layers));
% Custom training loop
for epoch = 1:numEpochs
dlX = dlarray(X’, ‘CB’); % Transpose input data to match network’s expected format
[gradients, loss] = dlfeval(@modelGradients, dlnet, dlX, N);
dlnet = dlupdate(@sgdmupdate, dlnet, gradients, learnRate);
disp([‘Epoch ‘ num2str(epoch) ‘, Loss: ‘ num2str(extractdata(loss))]);
end
% Testing phase
X_test = rand(N, M); % Assume test data is randomly generated
dlX_test = dlarray(X_test’, ‘CB’); % Transpose input data to match network’s expected format
Y_test = predict(dlnet, dlX_test);
disp(‘Dimensionality reduction results during testing:’);
disp(extractdata(Y_test)’);
% Custom loss function
function loss = customLoss(Y, N)
YA = extractdata(Y(:, 1:N))’;
YB = extractdata(Y(:, N+1:end))’;
muA = mean(YA);
muB = mean(YB);
covA = cov(YA);
covB = cov(YB);
covMean = (covA + covB) / 2;
d = 0.25 * (muA – muB) / covMean * (muA – muB)’ + 0.5 * log(det(covMean) / sqrt(det(covA) * det(covB)));
loss = -d; % Maximize Bhattacharyya distance
loss = dlarray(loss); % Ensure loss is a tracked dlarray scalar
end
% Model gradient function
function [gradients, loss] = modelGradients(dlnet, dlX, N)
Y = forward(dlnet, dlX);
loss = customLoss(Y, N);
gradients = dlgradient(loss, dlnet.Learnables);
end
% Update function
function param = sgdmupdate(param, grad, learnRate)
param = param – learnRate * grad;
endHello, I am working on customizing the loss function to minimize dimensionality by maximizing the Bhattacharyya distance distance.
But it came up with a error shown as:
Incorrect use of dlarray/dlgradient
The requested value was not tracked. It must be a real dlarray scalar for tracking. Please use dlgradient to track variables in the function called by dlfestival.
% Parameter settings
M = 10; % Dimension of input features
N = 50; % Number of samples per class
numEpochs = 100;
learnRate = 0.01;
% Generate example data
X = rand(2*N, M);
X(1:N, 🙂 = X(1:N, 🙂 + 1; % Data for class A
X(N+1:end, 🙂 = X(N+1:end, 🙂 – 1; % Data for class B
% Define the neural network
layers = [
featureInputLayer(M, ‘Normalization’, ‘none’)
fullyConnectedLayer(10)
reluLayer
fullyConnectedLayer(3)
];
dlnet = dlnetwork(layerGraph(layers));
% Custom training loop
for epoch = 1:numEpochs
dlX = dlarray(X’, ‘CB’); % Transpose input data to match network’s expected format
[gradients, loss] = dlfeval(@modelGradients, dlnet, dlX, N);
dlnet = dlupdate(@sgdmupdate, dlnet, gradients, learnRate);
disp([‘Epoch ‘ num2str(epoch) ‘, Loss: ‘ num2str(extractdata(loss))]);
end
% Testing phase
X_test = rand(N, M); % Assume test data is randomly generated
dlX_test = dlarray(X_test’, ‘CB’); % Transpose input data to match network’s expected format
Y_test = predict(dlnet, dlX_test);
disp(‘Dimensionality reduction results during testing:’);
disp(extractdata(Y_test)’);
% Custom loss function
function loss = customLoss(Y, N)
YA = extractdata(Y(:, 1:N))’;
YB = extractdata(Y(:, N+1:end))’;
muA = mean(YA);
muB = mean(YB);
covA = cov(YA);
covB = cov(YB);
covMean = (covA + covB) / 2;
d = 0.25 * (muA – muB) / covMean * (muA – muB)’ + 0.5 * log(det(covMean) / sqrt(det(covA) * det(covB)));
loss = -d; % Maximize Bhattacharyya distance
loss = dlarray(loss); % Ensure loss is a tracked dlarray scalar
end
% Model gradient function
function [gradients, loss] = modelGradients(dlnet, dlX, N)
Y = forward(dlnet, dlX);
loss = customLoss(Y, N);
gradients = dlgradient(loss, dlnet.Learnables);
end
% Update function
function param = sgdmupdate(param, grad, learnRate)
param = param – learnRate * grad;
end Hello, I am working on customizing the loss function to minimize dimensionality by maximizing the Bhattacharyya distance distance.
But it came up with a error shown as:
Incorrect use of dlarray/dlgradient
The requested value was not tracked. It must be a real dlarray scalar for tracking. Please use dlgradient to track variables in the function called by dlfestival.
% Parameter settings
M = 10; % Dimension of input features
N = 50; % Number of samples per class
numEpochs = 100;
learnRate = 0.01;
% Generate example data
X = rand(2*N, M);
X(1:N, 🙂 = X(1:N, 🙂 + 1; % Data for class A
X(N+1:end, 🙂 = X(N+1:end, 🙂 – 1; % Data for class B
% Define the neural network
layers = [
featureInputLayer(M, ‘Normalization’, ‘none’)
fullyConnectedLayer(10)
reluLayer
fullyConnectedLayer(3)
];
dlnet = dlnetwork(layerGraph(layers));
% Custom training loop
for epoch = 1:numEpochs
dlX = dlarray(X’, ‘CB’); % Transpose input data to match network’s expected format
[gradients, loss] = dlfeval(@modelGradients, dlnet, dlX, N);
dlnet = dlupdate(@sgdmupdate, dlnet, gradients, learnRate);
disp([‘Epoch ‘ num2str(epoch) ‘, Loss: ‘ num2str(extractdata(loss))]);
end
% Testing phase
X_test = rand(N, M); % Assume test data is randomly generated
dlX_test = dlarray(X_test’, ‘CB’); % Transpose input data to match network’s expected format
Y_test = predict(dlnet, dlX_test);
disp(‘Dimensionality reduction results during testing:’);
disp(extractdata(Y_test)’);
% Custom loss function
function loss = customLoss(Y, N)
YA = extractdata(Y(:, 1:N))’;
YB = extractdata(Y(:, N+1:end))’;
muA = mean(YA);
muB = mean(YB);
covA = cov(YA);
covB = cov(YB);
covMean = (covA + covB) / 2;
d = 0.25 * (muA – muB) / covMean * (muA – muB)’ + 0.5 * log(det(covMean) / sqrt(det(covA) * det(covB)));
loss = -d; % Maximize Bhattacharyya distance
loss = dlarray(loss); % Ensure loss is a tracked dlarray scalar
end
% Model gradient function
function [gradients, loss] = modelGradients(dlnet, dlX, N)
Y = forward(dlnet, dlX);
loss = customLoss(Y, N);
gradients = dlgradient(loss, dlnet.Learnables);
end
% Update function
function param = sgdmupdate(param, grad, learnRate)
param = param – learnRate * grad;
end deep learning MATLAB Answers — New Questions
Incorrect use of dlarray/dlgradient
Hello, I am working on customizing the loss function to minimize dimensionality by maximizing the Bhattacharyya distance distance.
But it came up with a error shown as:
Incorrect use of dlarray/dlgradient
The requested value was not tracked. It must be a real dlarray scalar for tracking. Please use dlgradient to track variables in the function called by dlfestival.
% Parameter settings
M = 10; % Dimension of input features
N = 50; % Number of samples per class
numEpochs = 100;
learnRate = 0.01;
% Generate example data
X = rand(2*N, M);
X(1:N, 🙂 = X(1:N, 🙂 + 1; % Data for class A
X(N+1:end, 🙂 = X(N+1:end, 🙂 – 1; % Data for class B
% Define the neural network
layers = [
featureInputLayer(M, ‘Normalization’, ‘none’)
fullyConnectedLayer(10)
reluLayer
fullyConnectedLayer(3)
];
dlnet = dlnetwork(layerGraph(layers));
% Custom training loop
for epoch = 1:numEpochs
dlX = dlarray(X’, ‘CB’); % Transpose input data to match network’s expected format
[gradients, loss] = dlfeval(@modelGradients, dlnet, dlX, N);
dlnet = dlupdate(@sgdmupdate, dlnet, gradients, learnRate);
disp([‘Epoch ‘ num2str(epoch) ‘, Loss: ‘ num2str(extractdata(loss))]);
end
% Testing phase
X_test = rand(N, M); % Assume test data is randomly generated
dlX_test = dlarray(X_test’, ‘CB’); % Transpose input data to match network’s expected format
Y_test = predict(dlnet, dlX_test);
disp(‘Dimensionality reduction results during testing:’);
disp(extractdata(Y_test)’);
% Custom loss function
function loss = customLoss(Y, N)
YA = extractdata(Y(:, 1:N))’;
YB = extractdata(Y(:, N+1:end))’;
muA = mean(YA);
muB = mean(YB);
covA = cov(YA);
covB = cov(YB);
covMean = (covA + covB) / 2;
d = 0.25 * (muA – muB) / covMean * (muA – muB)’ + 0.5 * log(det(covMean) / sqrt(det(covA) * det(covB)));
loss = -d; % Maximize Bhattacharyya distance
loss = dlarray(loss); % Ensure loss is a tracked dlarray scalar
end
% Model gradient function
function [gradients, loss] = modelGradients(dlnet, dlX, N)
Y = forward(dlnet, dlX);
loss = customLoss(Y, N);
gradients = dlgradient(loss, dlnet.Learnables);
end
% Update function
function param = sgdmupdate(param, grad, learnRate)
param = param – learnRate * grad;
endHello, I am working on customizing the loss function to minimize dimensionality by maximizing the Bhattacharyya distance distance.
But it came up with a error shown as:
Incorrect use of dlarray/dlgradient
The requested value was not tracked. It must be a real dlarray scalar for tracking. Please use dlgradient to track variables in the function called by dlfestival.
% Parameter settings
M = 10; % Dimension of input features
N = 50; % Number of samples per class
numEpochs = 100;
learnRate = 0.01;
% Generate example data
X = rand(2*N, M);
X(1:N, 🙂 = X(1:N, 🙂 + 1; % Data for class A
X(N+1:end, 🙂 = X(N+1:end, 🙂 – 1; % Data for class B
% Define the neural network
layers = [
featureInputLayer(M, ‘Normalization’, ‘none’)
fullyConnectedLayer(10)
reluLayer
fullyConnectedLayer(3)
];
dlnet = dlnetwork(layerGraph(layers));
% Custom training loop
for epoch = 1:numEpochs
dlX = dlarray(X’, ‘CB’); % Transpose input data to match network’s expected format
[gradients, loss] = dlfeval(@modelGradients, dlnet, dlX, N);
dlnet = dlupdate(@sgdmupdate, dlnet, gradients, learnRate);
disp([‘Epoch ‘ num2str(epoch) ‘, Loss: ‘ num2str(extractdata(loss))]);
end
% Testing phase
X_test = rand(N, M); % Assume test data is randomly generated
dlX_test = dlarray(X_test’, ‘CB’); % Transpose input data to match network’s expected format
Y_test = predict(dlnet, dlX_test);
disp(‘Dimensionality reduction results during testing:’);
disp(extractdata(Y_test)’);
% Custom loss function
function loss = customLoss(Y, N)
YA = extractdata(Y(:, 1:N))’;
YB = extractdata(Y(:, N+1:end))’;
muA = mean(YA);
muB = mean(YB);
covA = cov(YA);
covB = cov(YB);
covMean = (covA + covB) / 2;
d = 0.25 * (muA – muB) / covMean * (muA – muB)’ + 0.5 * log(det(covMean) / sqrt(det(covA) * det(covB)));
loss = -d; % Maximize Bhattacharyya distance
loss = dlarray(loss); % Ensure loss is a tracked dlarray scalar
end
% Model gradient function
function [gradients, loss] = modelGradients(dlnet, dlX, N)
Y = forward(dlnet, dlX);
loss = customLoss(Y, N);
gradients = dlgradient(loss, dlnet.Learnables);
end
% Update function
function param = sgdmupdate(param, grad, learnRate)
param = param – learnRate * grad;
end Hello, I am working on customizing the loss function to minimize dimensionality by maximizing the Bhattacharyya distance distance.
But it came up with a error shown as:
Incorrect use of dlarray/dlgradient
The requested value was not tracked. It must be a real dlarray scalar for tracking. Please use dlgradient to track variables in the function called by dlfestival.
% Parameter settings
M = 10; % Dimension of input features
N = 50; % Number of samples per class
numEpochs = 100;
learnRate = 0.01;
% Generate example data
X = rand(2*N, M);
X(1:N, 🙂 = X(1:N, 🙂 + 1; % Data for class A
X(N+1:end, 🙂 = X(N+1:end, 🙂 – 1; % Data for class B
% Define the neural network
layers = [
featureInputLayer(M, ‘Normalization’, ‘none’)
fullyConnectedLayer(10)
reluLayer
fullyConnectedLayer(3)
];
dlnet = dlnetwork(layerGraph(layers));
% Custom training loop
for epoch = 1:numEpochs
dlX = dlarray(X’, ‘CB’); % Transpose input data to match network’s expected format
[gradients, loss] = dlfeval(@modelGradients, dlnet, dlX, N);
dlnet = dlupdate(@sgdmupdate, dlnet, gradients, learnRate);
disp([‘Epoch ‘ num2str(epoch) ‘, Loss: ‘ num2str(extractdata(loss))]);
end
% Testing phase
X_test = rand(N, M); % Assume test data is randomly generated
dlX_test = dlarray(X_test’, ‘CB’); % Transpose input data to match network’s expected format
Y_test = predict(dlnet, dlX_test);
disp(‘Dimensionality reduction results during testing:’);
disp(extractdata(Y_test)’);
% Custom loss function
function loss = customLoss(Y, N)
YA = extractdata(Y(:, 1:N))’;
YB = extractdata(Y(:, N+1:end))’;
muA = mean(YA);
muB = mean(YB);
covA = cov(YA);
covB = cov(YB);
covMean = (covA + covB) / 2;
d = 0.25 * (muA – muB) / covMean * (muA – muB)’ + 0.5 * log(det(covMean) / sqrt(det(covA) * det(covB)));
loss = -d; % Maximize Bhattacharyya distance
loss = dlarray(loss); % Ensure loss is a tracked dlarray scalar
end
% Model gradient function
function [gradients, loss] = modelGradients(dlnet, dlX, N)
Y = forward(dlnet, dlX);
loss = customLoss(Y, N);
gradients = dlgradient(loss, dlnet.Learnables);
end
% Update function
function param = sgdmupdate(param, grad, learnRate)
param = param – learnRate * grad;
end deep learning MATLAB Answers — New Questions
M365 Developers Update | June 2024 Edition
In this monthly blog series focused on M365, we will be sharing product updates, notable reads, and other new resources that can be leveraged by developers who are building apps for the commercial marketplace.
Spotlight
Discover the power of customization with Microsoft Copilot extensions. Get Started.
Watch our foundational Build breakout session for a comprehensive guide to customizing Microsoft Copilot. View on demand >>
Learn how you can build Copilot extensions to enrich and Microsoft Copilot. Watch how >>
Build your own custom copilots for Microsoft Teams with the Teams AI Library and Teams Toolkit for Visual Studio Code, now generally available. Try it now >>
Expand the knowledge of Copilot for Microsoft 365 with Microsoft Graph connectors to build custom solutions leveraging the data and services in Microsoft Graph APIs. Get the updates >>
Learn
Read about the new tools coming to Microsoft Teams to help support developer productivity and collaboration. See what’s new >>
Microsoft Loop provides a central and flexible place for your work to help you stay in sync and on track. Discover how >>
Dive into the new capabilities and features for Office Add-ins development announced at Build. Learn more >>
Get started leveraging AI to elevate your custom Microsoft Mesh experience with the Mesh Toolkit. Read how >>
Online Training
Catch up on Microsoft Build 2024: View our breakout sessions on demand.
Collection of free Microsoft Copilot prompts: A new community-led repository set to transform your workflow.
Copilot for Microsoft 365: Try our newest learning paths to dive into Copilot for Microsoft 365 and explore different options for extending it.
Community calls: Learn from our experts on a variety of Microsoft 365 platform topics
Microsoft Tech Community – Latest Blogs –Read More
Converting Unix Timestamp to Date Time
Hi,
I’m trying to convert Unix time stamps to date time. So far I have tried:
date_time=(timestamp_array./86400000) + datetime(1970,1,1);
This seems to work find, except that my first measurment was 2123 seconds off. I looked at a few other times and they were 2122 seconds off, 2125 seconds off, etc. I’m not sure what could be causing this discrepancy.
Here is my original time data:
And here is what I am getting after I use my code:
Any insights would be much appreciated!!
(I had to divide my timestamps by 86400000 instead of 86400 becuase all my timestamsps have 3 extra zeros for some reason. Also, all measurements are on the same day if that makes any difference)Hi,
I’m trying to convert Unix time stamps to date time. So far I have tried:
date_time=(timestamp_array./86400000) + datetime(1970,1,1);
This seems to work find, except that my first measurment was 2123 seconds off. I looked at a few other times and they were 2122 seconds off, 2125 seconds off, etc. I’m not sure what could be causing this discrepancy.
Here is my original time data:
And here is what I am getting after I use my code:
Any insights would be much appreciated!!
(I had to divide my timestamps by 86400000 instead of 86400 becuase all my timestamsps have 3 extra zeros for some reason. Also, all measurements are on the same day if that makes any difference) Hi,
I’m trying to convert Unix time stamps to date time. So far I have tried:
date_time=(timestamp_array./86400000) + datetime(1970,1,1);
This seems to work find, except that my first measurment was 2123 seconds off. I looked at a few other times and they were 2122 seconds off, 2125 seconds off, etc. I’m not sure what could be causing this discrepancy.
Here is my original time data:
And here is what I am getting after I use my code:
Any insights would be much appreciated!!
(I had to divide my timestamps by 86400000 instead of 86400 becuase all my timestamsps have 3 extra zeros for some reason. Also, all measurements are on the same day if that makes any difference) datetime, unix, datenum, time series MATLAB Answers — New Questions
Incomplete plot of an integral function
Hi,
I’m having a problem plotting an integal function. Basically, the graph comes out incomplete. Am I doing something wrong or is there a more efficient way to plot the intgral of function (f)? I’ve attached the graph I’m getting and the code I’m using. Your help is greatly appreciated.
syms t X Y;
d=0.5;
f= 121864 *(exp(-2*(((X-(-d*cos(628*t)+7*t)).^2) + ((Y-(d*sin(628*t))).^2))/0.0002)) ;
Z =int(f,t,0,0.4);
fsurf(Z,[-0.1 1.22 -0.61 0.61],’EdgeColor’,’none’);
view([0,90]);
colormap jet;
colorbar;
ax = gca;
ax.FontSize = 24;
xlabel(‘X(mm)’)
ylabel(‘Y(mm)’)
zlabel(‘E=J/mm^2’)Hi,
I’m having a problem plotting an integal function. Basically, the graph comes out incomplete. Am I doing something wrong or is there a more efficient way to plot the intgral of function (f)? I’ve attached the graph I’m getting and the code I’m using. Your help is greatly appreciated.
syms t X Y;
d=0.5;
f= 121864 *(exp(-2*(((X-(-d*cos(628*t)+7*t)).^2) + ((Y-(d*sin(628*t))).^2))/0.0002)) ;
Z =int(f,t,0,0.4);
fsurf(Z,[-0.1 1.22 -0.61 0.61],’EdgeColor’,’none’);
view([0,90]);
colormap jet;
colorbar;
ax = gca;
ax.FontSize = 24;
xlabel(‘X(mm)’)
ylabel(‘Y(mm)’)
zlabel(‘E=J/mm^2’) Hi,
I’m having a problem plotting an integal function. Basically, the graph comes out incomplete. Am I doing something wrong or is there a more efficient way to plot the intgral of function (f)? I’ve attached the graph I’m getting and the code I’m using. Your help is greatly appreciated.
syms t X Y;
d=0.5;
f= 121864 *(exp(-2*(((X-(-d*cos(628*t)+7*t)).^2) + ((Y-(d*sin(628*t))).^2))/0.0002)) ;
Z =int(f,t,0,0.4);
fsurf(Z,[-0.1 1.22 -0.61 0.61],’EdgeColor’,’none’);
view([0,90]);
colormap jet;
colorbar;
ax = gca;
ax.FontSize = 24;
xlabel(‘X(mm)’)
ylabel(‘Y(mm)’)
zlabel(‘E=J/mm^2’) integral, integration, plotting, 3d plots MATLAB Answers — New Questions
Coloured Favourites Folders
Would be nice to have coloured folders (at least the standard yellow, per File Explorer, but customisable would be even better.
Anyone know if this is coming at some stage? It’s pretty boring as it stands.
Would be nice to have coloured folders (at least the standard yellow, per File Explorer, but customisable would be even better. Anyone know if this is coming at some stage? It’s pretty boring as it stands. Read More
Any way to display the number of days that a task has been in a bucket (kanban board)?
Hello,
Is there a way on the kanban board task cards to display how many days tasks have been in its current bucket?
Thank you
DK
Hello, Is there a way on the kanban board task cards to display how many days tasks have been in its current bucket?Thank youDK Read More
Azure Advisor Integration with Troubleshooting Guides for enhanced performance
Azure Advisor provides a personalized approach to receiving recommendations for your server by analyzing its configuration and telemetry data. This service aims to enhance various aspects of your server, including reliability, cost efficiency, security, operational excellence, and performance. By leveraging Azure Advisor, you gain access to tailored, proactive, and actionable recommendations designed to help your server operate at its optimal level.
You can now receive new recommendations that include checks for long-running queries, orphaned prepared transactions, databases approaching the 1 billion transaction usage limit (to prevent potential transaction wraparound scenarios), and servers exceeding the 80% bloat ratio. These new recommendations are seamlessly integrated with the troubleshooting guides available on the Azure Portal: Troubleshooting guides – Azure Database for PostgreSQL – Flexible Server | Microsoft Learn.
You can use these troubleshooting guides to help implement the Azure Advisor Performance recommendations for your Azure Database for Postgres Flexible Server. When you receive a recommendation, you will be directed to the appropriate troubleshooting guides. Be sure to follow the prerequisites section to ensure that all necessary data is provided before proceeding with the troubleshooting steps.
Let us walk through an example of a long-running transaction recommendation and see how the integration of troubleshooting guides can assist you in resolving the issue:
1. For the recommendation on Long Running Transactions, Go to Help -> Troubleshooting guides -> High CPU Usage -> Long Running Transactions as shown in the visual. This visual highlights the troubleshooting guides available on the portal, illustrating the various scenarios they can help you identify and resolve any server issues.
2. This will provide you with PIDs for the long running transactions on the server.
3. There is a dropdown to pick a specific PID which shows you the details of the PID as below. You can go through each PID and understand what is causing the issue.
4. We also provide you with recommendations on what steps need to be taken to resolve the issue.
5. You may have to follow additional steps for all the PIDs identified as long running and resolve them based on the recommendation provided.
In conclusion, leveraging Azure Advisor and the integrated troubleshooting guides can significantly enhance the performance, reliability, and efficiency of your Azure Database for Postgres Flexible Server. By proactively addressing recommendations such as long-running queries, orphaned prepared transactions, transaction limits, and bloat ratios, you can ensure your server operates at its best.
We encourage you to explore the Azure Portal and utilize these tools to stay ahead of potential issues. Start implementing the Azure Advisor performance recommendations today and make use of the detailed troubleshooting guides to maintain a robust and high-performing database environment.
Acknowledgement: This post was co-authored by Guy Bowerman and Gayathri Paderla.
Microsoft Tech Community – Latest Blogs –Read More
Can I create a new serial port on the Arduino Uno to run a Simulink model in real time that also uses a serial port?
I’m attempting to run the example MODBUS RS485 Communication Between Client and Server Using Arduino Board with two Arduino Uno units. These units have only one dedicated serial port on pins 0 and 1. When I go to Monitor and Tune the Client Model, I get an error message for all 6 MODBUS blocks in the model that reads:
Error evaluating ‘InitFcn’ callback of codertarget.arduinobase.internal.arduino_ModbusRS485MasterRead block (mask) ‘arduino_modbus_client/Modbus RS485 Client Read’.
Callback string is ‘codertarget.arduinobase.conflictcheck.validateandregisterBlocks(gcbh);’
Caused by:
The SerialPin_1 ‘1’ being used by ‘arduino_modbus_client/Modbus RS485 Client Read’ is currently in use by ‘Monitor and tune over XCP on Serial’. To resolve the conflict, change the value of SerialPin_1 in ‘arduino_modbus_client/Modbus RS485 Client Read’ to an alternate valid value.
It appears that the only port the Arduino Uno has is in use by the USB interface with my desktop computer. I know that ArduinoIDE has the SoftwareSerial library addon that is supposed to allow you to assign pins to create a separate serial port, but I don’t know if a similar operation is possible in Simulink. Or perhaps I can create the new port in ArduinoIDE for use in the Simulink model. Thank you.I’m attempting to run the example MODBUS RS485 Communication Between Client and Server Using Arduino Board with two Arduino Uno units. These units have only one dedicated serial port on pins 0 and 1. When I go to Monitor and Tune the Client Model, I get an error message for all 6 MODBUS blocks in the model that reads:
Error evaluating ‘InitFcn’ callback of codertarget.arduinobase.internal.arduino_ModbusRS485MasterRead block (mask) ‘arduino_modbus_client/Modbus RS485 Client Read’.
Callback string is ‘codertarget.arduinobase.conflictcheck.validateandregisterBlocks(gcbh);’
Caused by:
The SerialPin_1 ‘1’ being used by ‘arduino_modbus_client/Modbus RS485 Client Read’ is currently in use by ‘Monitor and tune over XCP on Serial’. To resolve the conflict, change the value of SerialPin_1 in ‘arduino_modbus_client/Modbus RS485 Client Read’ to an alternate valid value.
It appears that the only port the Arduino Uno has is in use by the USB interface with my desktop computer. I know that ArduinoIDE has the SoftwareSerial library addon that is supposed to allow you to assign pins to create a separate serial port, but I don’t know if a similar operation is possible in Simulink. Or perhaps I can create the new port in ArduinoIDE for use in the Simulink model. Thank you. I’m attempting to run the example MODBUS RS485 Communication Between Client and Server Using Arduino Board with two Arduino Uno units. These units have only one dedicated serial port on pins 0 and 1. When I go to Monitor and Tune the Client Model, I get an error message for all 6 MODBUS blocks in the model that reads:
Error evaluating ‘InitFcn’ callback of codertarget.arduinobase.internal.arduino_ModbusRS485MasterRead block (mask) ‘arduino_modbus_client/Modbus RS485 Client Read’.
Callback string is ‘codertarget.arduinobase.conflictcheck.validateandregisterBlocks(gcbh);’
Caused by:
The SerialPin_1 ‘1’ being used by ‘arduino_modbus_client/Modbus RS485 Client Read’ is currently in use by ‘Monitor and tune over XCP on Serial’. To resolve the conflict, change the value of SerialPin_1 in ‘arduino_modbus_client/Modbus RS485 Client Read’ to an alternate valid value.
It appears that the only port the Arduino Uno has is in use by the USB interface with my desktop computer. I know that ArduinoIDE has the SoftwareSerial library addon that is supposed to allow you to assign pins to create a separate serial port, but I don’t know if a similar operation is possible in Simulink. Or perhaps I can create the new port in ArduinoIDE for use in the Simulink model. Thank you. arduino, serial, communication MATLAB Answers — New Questions
Automated controls project DC motor controlcre
Automated controls project DC motor control
1..Mathimathical Model of the system
2. Simulink model of the DC Motor(simulink file)
3. Root locus diagram using matlab
4. Intrducing of PID controlel
5. System response before and after adding the PID controller
6. ConclusionAutomated controls project DC motor control
1..Mathimathical Model of the system
2. Simulink model of the DC Motor(simulink file)
3. Root locus diagram using matlab
4. Intrducing of PID controlel
5. System response before and after adding the PID controller
6. Conclusion Automated controls project DC motor control
1..Mathimathical Model of the system
2. Simulink model of the DC Motor(simulink file)
3. Root locus diagram using matlab
4. Intrducing of PID controlel
5. System response before and after adding the PID controller
6. Conclusion create code MATLAB Answers — New Questions
Serial Receive in Desktop Real-Time Kernel Mode
I am trying to get an input from a serial input in Simulink Desktop Real-Time.
To do so I have a "Serial Configuration" block and a "Serial Receive" block which is connected to a "To Workspace" block. (see screenshot below)
I am able to run the model in "Conneceted IO Mode". However, if I change the mode to "Kernel Mode", the model does not work anymore. Simulink states:
Serial Failed Code genreation inofrmation file does not exist.
0 of 1 models built (0 models already up to date)
Build duration: 0h 0m 19.781s
Error(s) encountered while building "Serial_Read"
Is it possible to use serial inputs in "Kernel Mode"? If yes, how can I avoid getting this error?I am trying to get an input from a serial input in Simulink Desktop Real-Time.
To do so I have a "Serial Configuration" block and a "Serial Receive" block which is connected to a "To Workspace" block. (see screenshot below)
I am able to run the model in "Conneceted IO Mode". However, if I change the mode to "Kernel Mode", the model does not work anymore. Simulink states:
Serial Failed Code genreation inofrmation file does not exist.
0 of 1 models built (0 models already up to date)
Build duration: 0h 0m 19.781s
Error(s) encountered while building "Serial_Read"
Is it possible to use serial inputs in "Kernel Mode"? If yes, how can I avoid getting this error? I am trying to get an input from a serial input in Simulink Desktop Real-Time.
To do so I have a "Serial Configuration" block and a "Serial Receive" block which is connected to a "To Workspace" block. (see screenshot below)
I am able to run the model in "Conneceted IO Mode". However, if I change the mode to "Kernel Mode", the model does not work anymore. Simulink states:
Serial Failed Code genreation inofrmation file does not exist.
0 of 1 models built (0 models already up to date)
Build duration: 0h 0m 19.781s
Error(s) encountered while building "Serial_Read"
Is it possible to use serial inputs in "Kernel Mode"? If yes, how can I avoid getting this error? simulink, real-time, kernel mode, serial, serial receive MATLAB Answers — New Questions
writestruct() fails to write empty child element to XML file
I need to write a empty, nested element within an XML file. An XML example of what I’d like to achieve is:
<?xml version="1.0" encoding="UTF-8"?>
<Problem>
<elementA>14</elementA>
<elementB>
<child/>
</elementB>
</Problem>
The nested element in this case is called "child". I expected the following MATLAB code to produce this result:
s.elementA = 14;
s.elementB.child = [];
writestruct(s,’test.xml’,’StructNodeName’,’Problem’)
However, this generates the following XML, whereupon the "child" element is entirely missing:
<?xml version="1.0" encoding="UTF-8"?>
<Problem>
<elementA>14</elementA>
<elementB/>
</Problem>
How can I produce a result with an empty, nested element?I need to write a empty, nested element within an XML file. An XML example of what I’d like to achieve is:
<?xml version="1.0" encoding="UTF-8"?>
<Problem>
<elementA>14</elementA>
<elementB>
<child/>
</elementB>
</Problem>
The nested element in this case is called "child". I expected the following MATLAB code to produce this result:
s.elementA = 14;
s.elementB.child = [];
writestruct(s,’test.xml’,’StructNodeName’,’Problem’)
However, this generates the following XML, whereupon the "child" element is entirely missing:
<?xml version="1.0" encoding="UTF-8"?>
<Problem>
<elementA>14</elementA>
<elementB/>
</Problem>
How can I produce a result with an empty, nested element? I need to write a empty, nested element within an XML file. An XML example of what I’d like to achieve is:
<?xml version="1.0" encoding="UTF-8"?>
<Problem>
<elementA>14</elementA>
<elementB>
<child/>
</elementB>
</Problem>
The nested element in this case is called "child". I expected the following MATLAB code to produce this result:
s.elementA = 14;
s.elementB.child = [];
writestruct(s,’test.xml’,’StructNodeName’,’Problem’)
However, this generates the following XML, whereupon the "child" element is entirely missing:
<?xml version="1.0" encoding="UTF-8"?>
<Problem>
<elementA>14</elementA>
<elementB/>
</Problem>
How can I produce a result with an empty, nested element? writestruct, xml, structures MATLAB Answers — New Questions
How to solve non_linear equation
Post Content Post Content @staff MATLAB Answers — New Questions
Now available for streaming: Executive Summit by Ultimate Partner
The recent Executive Summit by Ultimate Partner event grew out of the massive success of past digital and live events and a desire to help achieve more as Microsoft Partners navigate the tectonic shifts, Cloud GTM, and this Decade of the Ecosystem. You won’t see any event like this; the livestream is worth your time to learn and grow your business!
Sponsors for this event included Tackle.io, Microsoft, AvePoint, PartnerTap, Enavate, the WIT Network, swXtch.io, Impartner Software, ntegral as Advisor, Transcends Marketing, and Elastic and EY as Partners.
Thank you @VinceMenzione for all your work on this event!
The recent Executive Summit by Ultimate Partner event grew out of the massive success of past digital and live events and a desire to help achieve more as Microsoft Partners navigate the tectonic shifts, Cloud GTM, and this Decade of the Ecosystem. You won’t see any event like this; the livestream is worth your time to learn and grow your business!
Sponsors for this event included Tackle.io, Microsoft, AvePoint, PartnerTap, Enavate, the WIT Network, swXtch.io, Impartner Software, ntegral as Advisor, Transcends Marketing, and Elastic and EY as Partners.
Thank you @VinceMenzione for all your work on this event! Read More