CS109A Data Science course materials @Harvard are free and open for everyone!
1. Lecture notes
2. R code, Python notebooks
3. Lab material
4. Advanced sections
Learn here: harvard-iacs.github.io/2019-CS109A/pa…
Turing Post
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Turing Post
@TheTuringPost
On X we surface the AI research that matters and explain the ideas behind it. In the newsletter, we connect the dots between AI’s past, present, and future ⬇️
- All algorithms implemented in Python 🤯 This library has 163k stars on GitHub! It includes a ton of algorithms from arithmetic analysis to blockchain to data structures.
- MetaGPT: Simulates a whole software company 🤔 It assigns roles like product managers, architects, project managers, and engineers to GPTs. With just one line of code, MetaGPT generates user stories, competitive analyses, requirements, data structures, APIs, documents, and
- CS109A Data Science course materials @Harvard are free and open for everyone! 1. Lecture notes 2. R code, Python notebooks 3. Lab material 4. Advanced sections Learn here: harvard-iacs.github.io/2019-CS109A/pa…
- A free book for you! Fundamentals of Data Visualization by Claus O. Wilke It's a guide to making visualizations that accurately reflect the data, tell a story, and look professional. Read the open book here: clauswilke.com/dataviz/
- Yann LeCun’s @ylecun Deep Learning Course is now free & fully online at @NYUDataScience Videos, slides, notes, and notebooks! cds.nyu.edu/deep-learning/
- 🔥3 free data science books, the most popular among our subscribers! 1. Fundamentals of Data Visualization by @ClausWilke 2. Python Data Science Handbook by @jakevdp 3. Hands-On Data Visualization by @HandsOnDataViz Links⬇️
- 9 techniques you should know to master AI: - RAG (like Multimodal and Agentic RAG) - Knowledge distillation - Prompt optimization - GRPO - Mixture-of-Experts (MoE) - Chains-of-... : Chain-of-Agents and Chain-of-RAG - Methods reducing memory use, e.g. LightThinker, MLA - Advanced
- 3 free books, the most popular ones! 1. Fundamentals of Data Visualization 2. Hands-On Data Visualization 3. Reinforcement Learning: An Introduction Share this post with your friends to spread the word! Links⬇️
- CS109A Data Science course materials @Harvard are free and open for everyone! 1. Lecture notes 2. R code, Python notebooks 3. Lab material 4. Advanced sections Learn here: harvard-iacs.github.io/2019-CS109A/pa…
- Document-to-Markdown converter for LLM pipelines – MarkItDown from @Microsoft This Python tool converts dozens of file types to clean Markdown, keeping headings, lists, tables, links, and metadata. Supports: - PDF, Word, Excel, PowerPoint - HTML, CSV, JSON, XML - Images (OCR +
- CS109A Data Science course materials @Harvard are free and open for everyone! 1. Lecture notes 2. R code, Python notebooks 3. Lab material 4. Advanced sections Learn here: harvard-iacs.github.io/2019-CS109A/pa…
