useful_links

This page will contain links to helpful on-line material.

Distill, useful explanations of machine learning concepts.

Towards Data Science, introductions and tutorials related to machine learning

https://www.exponentialview.co/Exponential View Newsletter has cool visualizations of data related to many current and future issues, such as environment and energy.

An AI speed test shows clever coders can still beat tech giants like Google and Intel, by James Vincent, May 7, 2018

Deep Learning Weekly newsletter: Check out this Nov, 2019 video by Andrej Karpathy, Head of AI at Tesla, summarizing Tesla's deep learning approach to self-driving cars.

The State of Artificial Intelligence in 15 Visuals

Ipython Notebook (Jupyter) google group

Mastering the game of Go with deep neural networks and tree search

Tutorial on using groupby and other functions in pandas.

Neural Networks Tutorial (excellent introduction to neural nets with python and numpy)

Machine Learning with Numpy (very thorough set of jupyter notebooks as tutorials to numpy, pandas, neural networks, and other topics)

Neural Network Tutorial with Numpy

Emacs - the Best Python Editor?

Installing and running python and jupyter notebook on Windows 10

PyVis A nice overview of visualization packages available in python.

Mathematics for Machine Learning, by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong.

Running your jupyter notebook on a remote machine

Spell checking and other extensions

A Gallery of Interesting Ipython Notebooks on Github

NVIDIA DGX-1, deep learning system

useful_links.txt · Last modified: 2021/10/14 12:26 by anderson

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