Uploaded January 2020 | Updated September 2026, 2 weeks ago
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:
youtube.com/watch?v=Cr6VqTRO1v0
TWITTER: bit.ly/2OHYLbB
INSTAGRAM: bit.ly/312pLUb
FACEBOOK: bit.ly/2OqOhx1
WEBSITE: bit.ly/2OoVPQF
Learn Clojure:
clojure.org/guides/learn/syntax
Learn Rust:
rust-lang.org/learn
Swift for Tensorflow:
tensorflow.org/swift
Learn Python:
youtube.com/watch?v=T5pRlIbr6gg
Learn PyTorch:
youtube.com/watch?v=nbJ-2G2GXL0
Papers with Code:
paperswithcode.com
NeurIPS papers:
papers.nips.cc/book/advances-in-neural-information-processing-systems-32-2019
Neural Tangents:
github.com/google/neural-tangents#papers
XAI:
github.com/EthicalML/xai
Quantization:
pytorch.org/docs/stable/quantization.html
Waymo Open Dataset:
github.com/waymo-research/waymo-open-dataset
Graph Network example:
paperswithcode.com/paper/an-attention-based-graph-neural-network-for
PyTorch Glow:
github.com/pytorch/glow
NeuroSymbolic AI:
pathmind.com/wiki/symbolic-reasoning
MLFlow:
github.com/mlflow/mlflow/tree/master/mlflow
Graffitist:
github.com/Xilinx/graffitist
Deoldify:
github.com/jantic/DeOldify
StyleGAN2:
github.com/NVlabs/stylegan2
Milasen:
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)
Join us in the Wizards Slack channel:
wizards.herokuapp.com
Hit the Join button above to sign up to become a member of my channel for access to exclusive live streams!
Signup for my newsletter for exciting updates in the field of AI:
goo.gl/FZzJ5w
And please support me on Patreon:
patreon.com/user?u=3191693 Join my AI community: chatgptschool.io Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): https://www.wagergpt.xyz
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:
youtube.com/watch?v=Cr6VqTRO1v0
TWITTER: bit.ly/2OHYLbB
INSTAGRAM: bit.ly/312pLUb
FACEBOOK: bit.ly/2OqOhx1
WEBSITE: bit.ly/2OoVPQF
Learn Clojure:
clojure.org/guides/learn/syntax
Learn Rust:
rust-lang.org/learn
Swift for Tensorflow:
tensorflow.org/swift
Learn Python:
youtube.com/watch?v=T5pRlIbr6gg
Learn PyTorch:
youtube.com/watch?v=nbJ-2G2GXL0
Papers with Code:
paperswithcode.com
NeurIPS papers:
papers.nips.cc/book/advances-in-neural-information-processing-systems-32-2019
Neural Tangents:
github.com/google/neural-tangents#papers
XAI:
github.com/EthicalML/xai
Quantization:
pytorch.org/docs/stable/quantization.html
Waymo Open Dataset:
github.com/waymo-research/waymo-open-dataset
Graph Network example:
paperswithcode.com/paper/an-attention-based-graph-neural-network-for
PyTorch Glow:
github.com/pytorch/glow
NeuroSymbolic AI:
pathmind.com/wiki/symbolic-reasoning
MLFlow:
github.com/mlflow/mlflow/tree/master/mlflow
Graffitist:
github.com/Xilinx/graffitist
Deoldify:
github.com/jantic/DeOldify
StyleGAN2:
github.com/NVlabs/stylegan2
Milasen:
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)
Join us in the Wizards Slack channel:
wizards.herokuapp.com
Hit the Join button above to sign up to become a member of my channel for access to exclusive live streams!
Signup for my newsletter for exciting updates in the field of AI:
goo.gl/FZzJ5w
And please support me on Patreon:
patreon.com/user?u=3191693 Join my AI community: chatgptschool.io Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): https://www.wagergpt.xyz
