Fabrices

Your Brain is Your Best Friend!

[Frank Nielsen @FrnkNlsn]

Book #OTD

Geometry Driven Statistics

https://t.co/qokPxA2AWe

[BURKOV @burkov]

"A gentle introduction to matrix calculus" by Jan Magnus is now available on @ChapterPal :

Learn from the tutorial with the AI tutor: https://t.co/P0tfqNQ49Z

[Dr. Ganapathi Pulipaka 🇺🇸 @gp_pulipaka]

Bayesian Statistical Modeling! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Statistics #Books #Programming #Coding #100DaysofCode
https://t.co/Y8CkEAaeUJ

[Kirk Borne @KirkDBorne]

What are the Chances of That? How to Think About Uncertainty: https://t.co/Hj5iYPNDwq by @itabn_andrew

#Probability #Statistics #Mathematics

[Dr. Ganapathi Pulipaka 🇺🇸 @gp_pulipaka]

Modern Multivariate Modeling: Regression, Classification, and Manifold Learning! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Statistics #Programming #Coding #100DaysofCode
https://t.co/HGLycKCojO

[Kirk Borne @KirkDBorne]

The Upside of Uncertainty — A Guide to Finding Possibility in the Unknown: https://t.co/Yz66FHkO4a

A science-backed guide for navigating and thriving through uncertainty—based on interviews and insights from world-renowned leaders, innovators, entrepreneurs, artists, and creatives.

[Kirk Borne @KirkDBorne]

Books by @burkov

Machine Learning Engineering: https://t.co/V1XFQtUejT
++
Hundred-Page Machine Learning Book: https://t.co/AlEVuSyUJE
+++
Hundred-Page Language Models Book — Hands-on with PyTorch: https://t.co/SiVg4ajmUP
———
#ML #DataScience #AI #DataScientist

[BURKOV @burkov]

"An introduction to graph theory" book by Darij Grinberg is now available on @ChapterPal.

The book provides a rigorous graduate-level introduction to graph theory by combining algebraic perspectives, structural theorems, and numerous practice exercises.

Read the book with an AI tutor: https://t.co/sg2UvjFkXq

(All books and papers on ChapterPal are free to read.)

[Kirk Borne @KirkDBorne]

Python for Real Life — Code, Automate, and Build AI Tools — An All-in-One Guide to Learning Python Programming, Solving Real Problems, and Creating AI-Powered Apps (from the “Python for Real Life” Series)

Get it here: https://t.co/pwvGl6we0a

[Ilir Aliu @IlirAliu_]

MIT Press published a robotics textbook.
Then put it on GitHub for FREE. 📌
"Introduction to Autonomous Robots" covers everything:

kinematics, sensors, actuators, motion planning, localization, computer vision, and neural networks... from mechanisms all the way to algorithms.

It's written for undergraduates. Which means it's actually readable.

Most robotics textbooks assume you're already deep in the field. This one builds everything from the ground up, step by step, with real examples. Stanford's Mac Schwager called it "much-needed" (because it genuinely is).

Four professors at the University of Colorado Boulder spent years building it from lecture notes. MIT Press published it. Then they open-sourced the whole thing under Creative Commons.

PDF. Free. GitHub.

If you're trying to understand how autonomous robots actually work (not just the frontier research, but the foundations), this is where to start.

📌 [https://t.co/bw8zoK8MmB]

Share this with your fellow roboticist!

——

Weekly robotics and AI insights.
Subscribe free: https://t.co/9Nm01QUcw3

[Frank Nielsen @FrnkNlsn]

GOAT!

"The Probabilistic Method"

[Dr. Ganapathi Pulipaka 🇺🇸 @gp_pulipaka]

Top #Statistics #Books to Read! #BigData #Analytics #DataScience #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode
https://t.co/PwEYYtJaLa

[Kirk Borne @KirkDBorne]

[Download 156-page PDF]
Create GUIs with Python: https://t.co/EPbL9hHkpv

[Kirk Borne @KirkDBorne]

“Mathematics for Computer Science”

Free 920-page PDF download, from MIT: https://t.co/QnexP4k4ET

[Kirk Borne @KirkDBorne]

"Solving Mathematical Problems: A Personal Perspective," by Terence Tao

╰┈➤https://t.co/jsZApXcdbO

Amazon summary: "Authored by the leading name in mathematics, this engaging and clearly presented text leads the reader through the various tactics involved in solving mathematical problems at the Mathematical Olympiad level. Covering number theory, algebra, analysis, Euclidean geometry, and analytic geometry, Solving Mathematical Problems includes numerous exercises and model solutions throughout. Assuming only a basic level of mathematics, the text is ideal for students of 14 years and above in pure mathematics."

[Kirk Borne @KirkDBorne]

"How to Build and Fine‐Tune a Small Language Model: A Step-by-Step Guide for Beginners, Researchers, and Non-Programmers"

Available at https://t.co/msIjZw2arK

Build your own AI—without a PhD, expensive hardware, or industry-level resources. Whether you’re a beginner, a student, a scientist, or a domain expert, this book shows you how to create, train, fine-tune, and deploy Small Language Models (SLMs) that truly understand your field.

Most AI books explain what models are. This one teaches you to build them. You’ll go from zero to a working GPT-style model, then learn how to fine-tune, align, evaluate, and deploy it for real applications.

All chapters include ready-to-run Google Colab notebooks.

[Kirk Borne @KirkDBorne]

Modern Statistics — Intuition, Math, Python, and R: https://t.co/LZhaDf4rSF

[Dr. Ganapathi Pulipaka 🇺🇸 @gp_pulipaka]

Top Springer LLM, AI, DL, Multi-Agent Books to Read! #BigData #Analytics #DataScience #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode
https://t.co/EyU1KOQlIq

[書泉_MATH @rikoushonotana]

『量子力学１０講』谷村省吾（名古屋大学出版会）
線形代数がわかれば量子力学もわかる。肝心な筋道だけをコンパクトにまとめた、待望の教科書。 確率振幅からエンタングルメントまで。
書泉オンラインショップ⇩ https://t.co/mIkiCOJ0O1