Machine Learning Simplified: A gentle introduction to supervised learning

 https://themlsbook.com/read

Free (as in beer, for a while anyway) book about machine learning. 

GPT-3 resources

 https://shotfox.gumroad.com/l/gpt-3resources

list of 170+ for $5 on gumroad

Writing copy has never been easier.

 https://headlime.com/

Commercial site that uses GPT3 AI to write copy. 

Kobra A visual programming language for machine learning

 https://kobra.dev/
Reminds me a lot of Scratch

A new kind of IDE for Data Science. Supercharge your Data Science workflow.

 https://www.orchest.io/

Interesting take on visual workflow/pipelines inside an IDE. 

Exploratory Data Analysis of Text data Including Visualization and Sentiment Analysis

 https://towardsdatascience.com/exploratory-data-analysis-of-text-data-including-visualization-and-sentiment-analysis-e46dda3dd260

Good step-by-step walkthrough of NLP sentiment analysis. 

DALL·E: Creating Images from Text

 https://openai.com/blog/dall-e/

Some of the most amazing AI I've seen. 

Train, evaluate, monitor, infer: End-to-end machine learning in Elastic

 https://www.elastic.co/blog/train-evaluate-monitor-infer-end-to-end-machine-learning-in-elastic?blade=kibanafeed

Nice tutorial

GPT-3 Bot Posed as a Human on AskReddit for a Week

 https://www.kmeme.com/2020/10/gpt-3-bot-went-undetected-askreddit-for.html

State of the art AI and natural language processing. 

Machine Learning from Scratch

 https://dafriedman97.github.io/mlbook/content/introduction.html

Free e-book

PHP-ML - Machine Learning library for PHP

https://php-ml.readthedocs.io/en/latest/
still behind python, but nice to see ML in PHP

Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

https://medium.com/netflix-techblog/open-sourcing-metaflow-a-human-centric-framework-for-data-science-fa72e04a5d9
We'll see if they get an ecosystem around it.

Deep Learning with PyTorch: A 60 Minute Blitz

https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html
Pytorch videos from the source

The State of Machine Learning Frameworks in 2019

https://thegradient.pub/state-of-ml-frameworks-2019-pytorch-dominates-research-tensorflow-dominates-industry/
Pytorch is gaining

The 5 Classification Evaluation metrics every Data Scientist must know

https://towardsdatascience.com/the-5-classification-evaluation-metrics-you-must-know-aa97784ff226
Good introduction to classification metrics

AI Search Algorithms Every Data Scientist Should Know

https://towardsdatascience.com/ai-search-algorithms-every-data-scientist-should-know-ed0968a43a7a
I see trees.. Trees everywhere!

An easy introduction to Pytorch for Neural Networks

https://towardsdatascience.com/an-easy-introduction-to-pytorch-for-neural-networks-3ea08516bff2
getting started with pytorch

4 Awesome things you can do with Keras and the code you need to make it happen

https://towardsdatascience.com/4-awesome-things-you-can-do-with-keras-and-the-code-you-need-to-make-it-happen-858f022eec85
not exactly beginner level stuff here

An easy introduction to unsupervised learning with 4 basic techniques

https://towardsdatascience.com/an-easy-introduction-to-unsupervised-learning-with-4-basic-techniques-da7fbf0c3adf
Machine learning gets easier and easier to implement. 

Understanding Random Forest

https://towardsdatascience.com/understanding-random-forest-58381e0602d2
interesting machine learning algorithm, but very compute-intensive.