In the morning, before going to the gym, I spend 10 minutes detailing to Codex what it needs to do, then I let it code on a task that I know will take it 1 hour 30 minutes to solve. Meanwhile, I go to the gym with a light heart, knowing that an AI is working.
CODE
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The Kaggle Book: Master Data Science Competitions with Machine Learning
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The Kaggle Book — Master Data Analysis and #DataScience Competitions with #MachineLearning, GenAI, and LLMs [2nd Edition]: http://
amzn.to/4pxJpTC v/ @PacktDataML Table of Contents: Introducing Data Science Competition Organizing Data with Datasets Work & Learn with -
Scikit-learn Cookbook: 80+ Python Machine Learning Recipes Edition 3
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Scikit-learn Cookbook — 80+ recipes for #MachineLearning in Python with scikit-learn [3rd Edition]: http://
amzn.to/4oDGOq7 v/ @PacktDataML 𝓒𝓸𝓷𝓽𝓮𝓷𝓽𝓼:
Common Conventions & API Elements of Scikit-Learn
Pre-Model Workflow and Data Preprocessing
Dimensionality -
Build Data Pipelines and Machine Learning Models with Snowpark Python
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Design robust data pipelines, develop efficient data workloads, deploy mature #MachineLearning models, and build secure data apps with Snowpark using #Python — get this Ultimate Guide: http://
amzn.to/3x6gjoI
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#DataScience #DataScientist #CDO #DataEngineer #ML #AI -
Streamlit: Transform Data Scripts into Interactive Web Apps
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Streamlit turns your data scripts into shareable web apps in minutes: http://
streamlit.io
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"Streamlit for #DataScience" = Step-by-step guide to building interactive data apps in #Python — http://
amzn.to/45bY8IZ v/ @PacktDataML ———
#DataScientist #AI #ML #DataViz #Analytics -
Learn Model Context Protocol with TypeScript for AI Systems
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From @chris_noring and @PacktDataML … "Learn Model Context Protocol [MCP] with TypeScript: Build agentic systems in TypeScript with the new standard for AI capabilities" at http://
amzn.to/48W6Izu TypeScript explained and why & when to use it: https://
contentful.com/blog/what-is-t
ypescript-and-why-should-you-use-it/
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Using AI to Process and Summarize EPUB Books Efficiently
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This repo shows a way that works well for me: https://
github.com/karpathy/reade
r3
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Basically I use epub (not pdf), the code then parses it into text. I usually go chapter by chapter, manually copy paste the chapter text around, get a summary, do a Q&A and read alongside. -
Essential LLM Fine-Tuning Techniques to Master
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LLM fine-tuning techniques I'd learn if I were to customize them:
— Akshay 🚀 (@akshay_pachaar) 11 janvier 2026
Bookmark this.
1. LoRA
2. QLoRA
3. Prefix Tuning
4. Adapter Tuning
5. Instruction Tuning
6. P-Tuning
7. BitFit
8. Soft Prompts
9. RLHF
10. RLAIF
11. DPO (Direct Preference Optimization)
12. GRPO (Group Relative… pic.twitter.com/PQ5VrHyr34LLM fine-tuning techniques I'd learn if I were to customize them: Bookmark this. 1. LoRA
2. QLoRA
3. Prefix Tuning
4. Adapter Tuning
5. Instruction Tuning
6. P-Tuning
7. BitFit
8. Soft Prompts
9. RLHF
10. RLAIF
11. DPO (Direct Preference Optimization)
12. GRPO (Group Relative -
Fine-Tuning LLMs on NVIDIA GPUs With Unsloth
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How to Fine-Tune an LLM on NVIDIA GPUs With Unsloth https://
buff.ly/X4IBsan
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
MCP and Agent2Agent Protocol for Data Science Applications
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MCP & A2A (Agent2Agent) Protocol! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://t.co/zZMPCFXC71 pic.twitter.com/LFnTQptQbs
— Dr. Ganapathi Pulipaka 🇺🇸 (@gp_pulipaka) 11 janvier 2026MCP & A2A (Agent2Agent) Protocol! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/MCP-A2A-Protoc
ol
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