MACHINE LEARNING

50 Days of Data Analysis with Python Book Recommendation

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11 March 2026 15h05

Check out this great book >> 50 Days of Data Analysis with Python — The Ultimate Challenges Book for Beginners, with Hands-on Challenges using Pandas, NumPy, Matplotlib, Sklearn and Seaborn: http://
amzn.to/3uQfgrR by @RealBenjizo —————
#DataScience #DataScientist

50 Essential Algorithms Every Programmer Must Know

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11 March 2026 15h04

50 Algorithms Every Programmer Should Know: http://
amzn.to/3Mi1hAk v/ @PacktDataML —————
#DataScientist #DataScience #Mathematics #MachineLearning #ML #ComputerScience #ComputationalScience

50 Machine Learning Projects to Understand LLMs and Transformers

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11 March 2026 15h01

50 ML projects to understand LLMs — Investigate transformer mechanisms through data analysis, visualization, and experimentation: http://
amzn.to/4aPfP7q
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#AI #GenAI #MachineLearning #DataScientist #DataScience

→ View original post on X — @rasbt

Chapter 8 LLM Distillation Notebook Released on GitHub

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@rasbt

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11 March 2026 14h53

The Ch08 Nb on distilling LLMs is now on GitHub: https://
github.com/rasbt/reasonin
g-from-scratch/blob/main/ch08/01_main-chapter-code/ch08_main.ipynb
… Hard distillation that works with any LLM (minding the terms of service, of course).

Causal Inference for Data Science Book Recommendation

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11 March 2026 14h49

Causal Inference for Data Science : http://
amzn.to/3ZX8JIn via @ManningBooks ——————
#Statistics #MachineLearning #ML #DataScientist #PrescriptiveAnalytics #PredictiveAnalytics #Analytics #ABTesting

Time Series Analysis with Python Cookbook 2nd Edition Released

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11 March 2026 14h31

Brilliant new release by @tarekatwan from @PacktDataML at http://
amzn.to/4sjCbni "Time Series Analysis with Python Cookbook: Practical recipes for the complete time series workflow, from modern data engineering to advanced forecasting and anomaly detection" [2nd Edition; 812

Scikit-Learn Cookbook: 80+ Python Machine Learning Recipes 3rd Edition

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11 March 2026 14h28

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

New Multi-Agent AI Systems Design Book Released by Packt

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11 March 2026 14h28

New release from @PacktDataML available at: http://
amzn.to/40Sp4O9 "Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Python-based Agentic AI Framework with tool use, memory, and multi-agent workflows" Table of Contents:
Introduction to Generative AI and AI