Almost exactly 4 years ago I decided to dedicate my life to helping educate the world on Artificial Intelligence. There were hardly any resources designed for absolute beginners and the field was dominated by PhDs. In 2020, thanks to the extraordinary contributions of everyone in this community, all that has changed. It’s easier than ever before to enter into this field, even without an IT background. We’ve seen brave entrepreneurs figure out how to deploy this technology to save lives (medical imaging, automated diagnosis) and accelerate Science (AlphaFold). We’ve seen algorithmic advances (deepfakes) and ethical controversies (automated surveillance) that shocked the world. The AI field is now a global, cross-cultural movement that's not limited to academics alone. And that’s something all of us should be proud of, we’re all apart of this. I’ve packed a lot into this episode! I’ll give my annual lists of the best ML language and libraries to learn this year, how to learn ML in 2020, as well as 8 predictions about where this field is headed. I had a lot of fun making this, so I hope you enjoy it!

Are you a total beginner to machine learning? Watch this:
https://www.youtube.com/watch?v=Cr6VqTRO1v0

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Learn Clojure:
https://clojure.org/guides/learn/syntax

Learn Rust:
https://www.rust-lang.org/learn

Swift for Tensorflow:
https://www.tensorflow.org/swift

Learn Python:
https://www.youtube.com/watch?v=T5pRlIbr6gg

Learn PyTorch:
https://www.youtube.com/watch?v=nbJ-2G2GXL0

Papers with Code:
https://paperswithcode.com/

NeurIPS papers:
https://papers.nips.cc/book/advances-in-neural-information-processing-systems-32-2019

Neural Tangents:
https://github.com/google/neural-tangents#papers

XAI:
https://github.com/EthicalML/xai

Quantization:
https://pytorch.org/docs/stable/quantization.html

Waymo Open Dataset:
https://github.com/waymo-research/waymo-open-dataset

Graph Network example:
https://paperswithcode.com/paper/an-attention-based-graph-neural-network-for

PyTorch Glow:
https://github.com/pytorch/glow

NeuroSymbolic AI:
https://pathmind.com/wiki/symbolic-reasoning

MLFlow:
https://github.com/mlflow/mlflow/tree/master/mlflow

Graffitist:
https://github.com/Xilinx/graffitist

Deoldify:
https://github.com/jantic/DeOldify

StyleGAN2:
https://github.com/NVlabs/stylegan2

Milasen:
https://cen.acs.org/business/Milasen-drug-idea-injection-10/97/i42

Credits:
Distill.pub
DeepMind
3Blue1Brown
J Cole

Honorable mentions:
My parents (for conceiving me)
Society (of which I am a product of)

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