Uploaded July 2019 | Updated September 2026, 2 weeks ago
Automatic Machine Learning or "AutoML" is a field of Artificial Intelligence thats gaining a lot of interest lately. The idea is that doing any kind of task related to machine learning involves a whole lot of steps like cleaning a dataset, choosing a model, deciding what the right configurations of that model should be, deciding what the most relevant features are etc. The goal of AutoML is to automate all of that up to a point where all a data scientist would need to do is tell a machine to perform some task using a dataset and wait for it to learn how by itself. In this episode, i'm going to explain several popular AutoML techniques, then compare top AutoML frameworks like AutoKeras, Auto Sklearn, h20, Ludwig, etc. to help you decide which one will be the best for your needs.
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AutoML Framework #1 - MLBox
github.com/AxeldeRomblay/MLBox
AutoML Framework #2 - Auto Sklean
github.com/automl/auto-sklearn
AutoML Framework #3 - TPOT
github.com/EpistasisLab/tpot
AutoML Framework #4 - H20
docs.h2o.ai/h2o/latest-stable/h2o-docs/automl.html
AutoML Framework #5 - Autokeras
autokeras.com
AutoML Framework #6 - Ludwig
uber.github.io/ludwig
My video on Ludwig:
youtube.com/watch?v=w45t3itM5NM
The DARTS paper:
arxiv.org/abs/1806.09055
DARTS in PyTorch:
github.com/quark0/darts
Cool write-up on Simulated Annealing:
santhoshhari.github.io/simulated_annealing
Cooler write-up on Bayesian Optimization:
krasserm.github.io/2018/03/21/bayesian-optimization
----------------------------------------------------------------------------------------------------
Make Money with Tensorflow 2.0:
youtube.com/watch?v=WS9Nckd2kq0
Build a Finance Startup:
youtube.com/watch?v=oeraUtRgsbI
Build a Healthcare Startup:
youtube.com/watch?v=b8xlCNzkX5w
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Hit the Join button above to sign up to become a member of my channel for access to exclusive live streams!
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theschool.ai
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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
Automatic Machine Learning or "AutoML" is a field of Artificial Intelligence thats gaining a lot of interest lately. The idea is that doing any kind of task related to machine learning involves a whole lot of steps like cleaning a dataset, choosing a model, deciding what the right configurations of that model should be, deciding what the most relevant features are etc. The goal of AutoML is to automate all of that up to a point where all a data scientist would need to do is tell a machine to perform some task using a dataset and wait for it to learn how by itself. In this episode, i'm going to explain several popular AutoML techniques, then compare top AutoML frameworks like AutoKeras, Auto Sklearn, h20, Ludwig, etc. to help you decide which one will be the best for your needs.
It would mean so much to me if you subscribe to my YouTube Channel! bit.ly/2SvhG7v
Want more education? Connect with me here:
Twitter: twitter.com/sirajraval
Instagram: instagram.com/sirajraval
Facebook: facebook.com/sirajology
Website: sirajraval.com
AutoML Framework #1 - MLBox
github.com/AxeldeRomblay/MLBox
AutoML Framework #2 - Auto Sklean
github.com/automl/auto-sklearn
AutoML Framework #3 - TPOT
github.com/EpistasisLab/tpot
AutoML Framework #4 - H20
docs.h2o.ai/h2o/latest-stable/h2o-docs/automl.html
AutoML Framework #5 - Autokeras
autokeras.com
AutoML Framework #6 - Ludwig
uber.github.io/ludwig
My video on Ludwig:
youtube.com/watch?v=w45t3itM5NM
The DARTS paper:
arxiv.org/abs/1806.09055
DARTS in PyTorch:
github.com/quark0/darts
Cool write-up on Simulated Annealing:
santhoshhari.github.io/simulated_annealing
Cooler write-up on Bayesian Optimization:
krasserm.github.io/2018/03/21/bayesian-optimization
----------------------------------------------------------------------------------------------------
Make Money with Tensorflow 2.0:
youtube.com/watch?v=WS9Nckd2kq0
Build a Finance Startup:
youtube.com/watch?v=oeraUtRgsbI
Build a Healthcare Startup:
youtube.com/watch?v=b8xlCNzkX5w
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!
Join us at the School of AI:
theschool.ai
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


![I Used AlphaFold 3 To Cure Cancer (Tutorial)
I asked Claude to find a cancer protein with no known cure and design a potential cure (that it codenamed DualStrike). Then I used Googles AlphaFold 3 to simulate its effectiveness. The results showed that DualStrike (a novel treatment for Lymphoma [Blood Cancer]) can theoretically increase the 5 year survival rate of from 80% up to 90-95%. Finally, I asked ChatGPTs o1-preview to write an end-to-end research paper on the process to enable any elementary biochemist to verify the in-silico results with a wet-lab. In this video, Ill explain each step I took so that you can do the same for your own creative ideas around Scientific discovery. The year is 2025 and AI is truly democratizing Science to a level where any human on Earth with enough motivation can make a meaningful contribution using AI tools effectively. I hope this video inspires Wizards around the world to use AI for Scientific discovery. Enjoy!
Code & Research Paper:
https://github.com/llSourcell/DualStrike_AI_For_Lymphoma
Sign up for HPC-AI:
https://hpc-ai.com/account/signup?invitation_code=invite_c3HJ41XXWr
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Design your own AI trading bot (no code):
https://www.tradergpt.co
Join my AI Sports Betting community:
https://wagergpt.xyz/
⏱️ **Chapters:**
0:00 Introduction: Using AI to Design a Novel Cancer Treatment
1:16 Introducing Sponsor: HPC AIs Computing Cluster
1:59 The Big Deal: Introduction to AlphaFold
2:06 Evolution of AlphaFold: From Version 1 to 3
2:59 Finding a Missing Protein in the AlphaFold Database
4:17 Identifying the NPM-ALK Fusion Protein
4:43 Generating the FASTA Sequence with Claude
5:41 Understanding Protein Folding and AIs Role
6:35 Designing a Potential Treatment with AI
7:03 Developing a Dual-Site Inhibitor with Claude
7:54 Generating 3D Models with AlphaFold
8:38 Testing the Inhibitor with Molecular Docking Software (MolModa)
10:30 Generating the Research Paper and Code with o1-preview
13:27 Prompt Hack: Improving AI Outputs
13:41 Utilizing HPC AIs Computing Cluster for Experiments
14:31 Conclusion and Encouragement to Innovate with AI
15:14 Outro and Closing Remarks
Dont forget to like, share, and subscribe for more deep dives into AI advancements!
AlphaFold 1 explained:
https://www.youtube.com/watch?v=cw6_OP5An8s
AlphaFold 2 explained:
https://www.youtube.com/watch?v=GQH-zWUylPY
I Asked O1-Preview to reproduce O1-Preview:
https://youtu.be/sf7Ntg72qCI
I Built a Sports Betting Bot with ChatGPT:
https://youtu.be/IDthta5sUGQ
I Built a Trading Bot with ChatGPT:
https://www.youtube.com/watch?v=fhBw3j_O9LE
Watch ChatGPT Build an AI Startup:
https://www.youtube.com/watch?v=hL2hLFUwuqQ
Watch ChatGPT Build a Finance Startup:
https://www.youtube.com/watch?v=on623d5EfPw
Watch Me Build a Startup Playlist:
https://www.youtube.com/watch?v=oeraUtRgsbI&list=PL2-dafEMk2A4n3aP_rzgqA8lVGknkSN2p&index=1
🔔 Subscribe and hit the notification bell to join the AI revolution! I Used AlphaFold 3 To Cure Cancer (Tutorial)](https://i.ytimg.com/vi/kll90oM9CoQ/mqdefault.jpg)







