Coding
Dissecting Relu: A desceptively simple activation function
What is this post about? This is what you will be able to generate and understand by the end of this post. This is the
June 1, 2021
No Comments
Blogs
Coding, Mathematics of Machine Learning
What is this post about? This is what you will be able to generate and
- June 1, 2021
- No Comments
Interviews
We never Had Truly Understood the Bias-Variance Trade-off!!! In this interview with Prof. Mikhail Belkin,
- May 29, 2021
- No Comments
Paper Analysis
What is This post about? The interview with the lead author of the paper: Prof.
- April 12, 2021
- No Comments
Interviews
“There are a lot more papers written than there are widely read!” (Tom Mitchell) Prof.
- March 14, 2021
- No Comments
Algorithms, Coding, Mathematics of Machine Learning
What will you learn? The video below, delivers the main points of this blog post
- August 18, 2020
- No Comments
Mathematics of Machine Learning
What will you learn? This post is also available to you in this video, should
- May 20, 2020
- No Comments
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
No Comments
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
No Comments
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
No Comments
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
No Comments
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
No Comments
Search
Category
recent Tweets
🔴Join me LIVE for the next reading session of the book 𝗔𝗰𝘁𝗶𝘃𝗲 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲. This session will work out a numeric example for 𝗕𝗮𝘆𝗲𝘀' 𝗥𝘂𝗹𝗲.
📷𝗪𝗛𝗘𝗥𝗘:
📷𝗪𝗵𝗮𝘁 𝗧𝗶𝗺𝗲: 21:00 (Australian Eastern Standard Time) 🔥
🚨 Going LIVE this Thursday (22:00 AEST)
Kicking off a live reading of
📘 Active Inference: The Free Energy Principle in Mind, Brain, and Behavior
We start with:
🧠 Perception as Unconscious Inference👇
#Neuroscience #MachineLearning #AI
Recent News
Explore the MOST INFORMATIVE Posts at MLDAWN
Algorithms
What is this post about? In the previous post, we learned all about what over-fitting
- April 25, 2019
- No Comments
Algorithms
What is this post about, and what is next? Hi there!!! Let’s cut to the
- March 22, 2019
- No Comments
Algorithms
Which attribute to choose? (Part-2) Today we are going to touch on something quite exciting.
- February 21, 2019
- No Comments
Algorithms
Which Attribute to Choose? (Part1) In our last post, we introduced the idea of the
- February 8, 2019
- No Comments
Algorithms
What will you learn? You will learn how a decision tree works but without going
- January 1, 2019
- No Comments
Search
Category
recent Tweets
🔴Join me LIVE for the next reading session of the book 𝗔𝗰𝘁𝗶𝘃𝗲 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲. This session will work out a numeric example for 𝗕𝗮𝘆𝗲𝘀' 𝗥𝘂𝗹𝗲.
📷𝗪𝗛𝗘𝗥𝗘:
📷𝗪𝗵𝗮𝘁 𝗧𝗶𝗺𝗲: 21:00 (Australian Eastern Standard Time) 🔥
🚨 Going LIVE this Thursday (22:00 AEST)
Kicking off a live reading of
📘 Active Inference: The Free Energy Principle in Mind, Brain, and Behavior
We start with:
🧠 Perception as Unconscious Inference👇
#Neuroscience #MachineLearning #AI
Recent News