Coding
Dissecting Relu: A desceptively simple activation function
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June 1, 2021
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Coding, Mathematics of Machine Learning
What is this post about? This is what you will be able to generate and
- June 1, 2021
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Interviews
We never Had Truly Understood the Bias-Variance Trade-off!!! In this interview with Prof. Mikhail Belkin,
- May 29, 2021
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Paper Analysis
What is This post about? The interview with the lead author of the paper: Prof.
- April 12, 2021
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Interviews
“There are a lot more papers written than there are widely read!” (Tom Mitchell) Prof.
- March 14, 2021
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Algorithms, Coding, Mathematics of Machine Learning
What will you learn? The video below, delivers the main points of this blog post
- August 18, 2020
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Mathematics of Machine Learning
What will you learn? This post is also available to you in this video, should
- May 20, 2020
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Interviews
An interview with Prof. Mikhail Belkin
We never Had Truly Understood the Bias-Variance Trade-off!!! In this interview with Prof. Mikhail Belkin, we will discuss his amazing paper: “Reconciling modern machine learning
May 29, 2021
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Paper Analysis
Reconciling modern machine learning practice and the bias-variance trade-off
What is This post about? The interview with the lead author of the paper: Prof. Mikhail Belkin Together we will analyze an amazing paper entitled:
April 12, 2021
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Interviews
An interview with Prof. Tom Mitchell
“There are a lot more papers written than there are widely read!” (Tom Mitchell) Prof. Tom Mitchell is one of the giants of machine learning
March 14, 2021
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Algorithms
Stochastic Approximation to Gradient Descent
What will you learn? The video below, delivers the main points of this blog post on Stochastic Gradient Descent (SGD): (GitHub code available in here)
August 18, 2020
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Mathematics of Machine Learning
Back-propagation with Cross-Entropy and Softmax
What will you learn? This post is also available to you in this video, should you be interested 😉 https://www.youtube.com/watch?v=znqbtL0fRA0&feature=youtu.be In our previous post, we
May 20, 2020
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