https://github.com/quantum-software-development/mathfreeresources
https://github.com/quantum-software-development/mathfreeresources
Last synced: 2 months ago
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- Host: GitHub
- URL: https://github.com/quantum-software-development/mathfreeresources
- Owner: Quantum-Software-Development
- License: mit
- Created: 2024-07-17T04:49:51.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-08-22T00:57:20.000Z (9 months ago)
- Last Synced: 2025-01-21T17:50:05.404Z (4 months ago)
- Homepage: https://github.com/Quantum-Software-Development/mathFreeResources
- Size: 11.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Resources you need for transitioning to serious ML roles.
And All of then are here and best thing fior FREE !
Hope this is useful!
#
## Part 1: Fundamentals
1️⃣ Linear Algebra – Blue1Brown's playlist on YouTube is the most engaging Linear Algebra playlist.
Link: https://lnkd.in/gJMe89Hz
2️⃣ Multivariable Calculus – Khan Academy's Multivariable Calculus lessons are an amazing refresher.
Link: https://lnkd.in/gdkzPvpj
3️⃣ Statistics and Probability – Please watch the Youtube playlist by the channel StatsQuest. Unique style and awesome content.
Link: https://lnkd.in/gxRgRw_A
Part 2: Machine Learning
1️⃣ Stanford Intro to Machine Learning by Andrew Ng. The course also offers a free set of course notes, which are very well written.
Link: https://lnkd.in/gtPxYRjC
2️⃣ Caltech Machine Learning – These are less mathematical and more intuition based.
Link: https://lnkd.in/gz8A_Qkh
3️⃣ Vizuara AI's Machine Learning Teach by Doing: 35 lectures. Whiteboard + coding approach. I have spent 2 months of hard work and am very proud of these lectures.
Link: https://lnkd.in/gbUDy46Y
Part 3: Deep Learning
1️⃣ Andrej Karpathy's Zero to Hero Series – Andrej Karpathy, an AI researcher who graduated with a Stanford PhD and led Tesla AI for several years, released an amazing series of hands on lectures on YouTube.
Link: https://lnkd.in/gqdfEnfK
2️⃣ Vizuara AI Neural networks from scratch series: 35 lectures. Whiteboard + coding approach. I have spent 2 months of hard work and am very proud of these lectures.
Link: https://lnkd.in/gRMnQt64
Part 4: Transformers and LLMs
1️⃣ University of Waterloo lectures: This will give you lots of insights into how Transformers work.
Link: https://lnkd.in/gNuVUe7j
2️⃣ Vizuara AI Building Transformers series: One of the best resources to understand transformers from scratch.
Link: https://lnkd.in/gpcZAwgd
3️⃣ ChatGPT Explainer: Wolfram's YouTube explainer video on ChatGPT is one of the best videos to watch.
Link: https://lnkd.in/gwzh3NZd
4️⃣ Interactive LLM Visualization – This LLM visualization that you can play with in your browser is hands down the best interactive experience with an LLM.
Link: https://bbycroft.net/llm
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