Pavel Pleskov shares five secrets to becoming a Kaggle grandmaster. This video discusses:
— Whether you should strive to earn the noscript.
— The difference between the academic and the business approach to machine learning contests.
— What the best practical…

TensorFlow AutoGraph automatically converts plain Python code into its TensorFlow equivalents, using source code transformation. Our approach is complementar...

This is a summary of weight initialization in aritifical neural networks.

www.pydata.org

PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each…

EE380: Computer Systems Colloquium Seminar
Information Theory of Deep Learning
Speaker: Naftali Tishby, Computer Science, Hebrew Univerisity

I will present a novel comprehensive theory of large scale learning with Deep Neural Networks, based on the correspondence…

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The entire field of mathematics summarised in a single map! This shows how pure mathematics and applied mathematics relate to each other and all of the sub-topics they are made from.

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https://www.dosmaps.com

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https://ww…

This is a talk by Marc Raibert for course 6.S099: Artificial General Intelligence. He is the CEO of Boston Dynamics. This class is free and open to everyone. Our goal is to take an engineering approach to exploring possible paths toward building human-level…

Laurence Moroney (@lmoroney) gives you the quick breakdown on using Comma Separated Values (CSVs), with Keras. Watch to see how easy it is to train TensorFlow models from CSV data using Keras utilities. Stay tuned for more TensorFlow tips, and subscribe to…

A tutorial that covers the basics of particle swarm optimization while implementing a simplified, barebones version with Python

UPDATE: We’ve also summarized the top 2019 and top 2020 AI & machine learning research papers. Trying to keep up with AI research papers can feel like an exercise in futility given how quickly the industry moves. If you’re buried in papers to read that you…

Swift for TensorFlow combines the flexibility of Eager Execution with the high performance of Graphs and Sessions. Behind the scenes, Swift analyzes your Ten...

Things they don’t teach you in graduate school

Raymond Hettinger
Learn to take better advantage of Python's best features and improve existing code through a series of code transformations, "When you see this, do that instead."

This article details how to set up a powerful VIM environment for Python development.

Vim as a Python IDE - Martin Brochhaus
PyCon Asia Pacific 2012 Conference
Singapore

Particle Swarm Optimisation, by Craig Ferguson (28th February 2018)

Nature is full of ingenious solutions to problems, many of which can be re-purposed for use in computer systems. In this talk, we will discuss one application of the field of ‘Swarm Intelligence’:…

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The paper "Human-level performance in first-person multiplayer games with population-based deep reinforcement learning" and its corresponding blog post are available here:
1.…

Welcome to Part 1 of our mini-series on TensorFlow high-level APIs! In this 3 part mini-series, TensorFlow Engineering Manager Karmel Allison runs us through different scenarios using TensorFlow’s high-level APIs. Building a ML model takes a lot of time,…