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Artificial Intelligence
Introduction to Graph Evaluation using cuGraph What’s Graph Evaluation? Let’s dive right into a problem What happens when the info set gets larger? What makes cuGraph special?
When analyzing data, sometimes the relationships between the info elements are vital together with the scope of the query being asked. In those cases, it is best to represent the info as a graph...
Artificial Intelligence
Theoretical Deep Dive into Linear Regression The Data Generation Process What Are We Actually Minimizing? Minimize The Loss Function Conclusion
You need to use some other prior distribution on your parameters to create more interesting regularizations. You may even say that your parameters w are normally distributed but with some correlation matrix Σ.Allow...
Artificial Intelligence
A Deep Dive into the Science of Statistical Expectation
Just as within the discrete case, you integrate first over the variable whose expected value you need to calculate, after which integrate over the remaining of the variables.A famous example demonstrating the appliance of...
Artificial Intelligence
Deep Dive into Softmax Regression Background: Multi-Class Classification Problems The Softmax Regression Model Cross-Entropy Loss Gradient Descent Practice Query Softmax Regression in Scikit-Learn Summary
With these gradients, we will use (stochastic) gradient descent to reduce the loss function on the given training set.You might be given a set of images and you must classify them into dogs/cats and...
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