Books

A clear, illustrated guide to large language models, covering key concepts and practical applications. Ideal for projects, interviews, or personal learning.

Bridge AI and science with this hands-on guide. Whether you're a researcher learning ML or an engineer entering scientific applications, build real systems across chemistry, biology, physics & climate. Master Transformers, Diffusion Models & GNNs for scientific discovery. 500+ pages, 50+ Colab notebooks. Design molecules, predict proteins, accelerate climate models—all hands-on, zero setup required.

Everything you really need to know in Machine Learning in a hundred pages.

The essentials of making predictions using supervised regression and classification for tabular data. Tech stack: python, pandas, scikit-learn, CatBoost, LightGBM, XGBoost

I wrote this cookbook to save you time troubleshooting and more time discovering insights. These recipes tackle the literal problems you'll face—mismatched keys, shape errors, memory leaks, rate limits—so that each step builds toward a smooth, automated workflow.

Explore Python basics, AI integration for real-world application and the power of Python in AI with practical machine learning and deep learning techniques.

Master machine learning interpretability with this comprehensive guide to SHAP – your tool to communicating model insights and building trust in all your machine learning applications.

Learn how to build your own AI application step-by-step. A hands-on guide to AI development with local LLM inference

Build a real AI platform on OpenShift, not just “another Kubernetes cluster.” This guide walks you through air-gapped installs, Quay mirroring, GPUs, InfiniBand, GitOps, and benchmarking—so platform and SRE teams can deliver a secure, observable, high-performance OpenShift AI environment that app teams actually want to use.

Discover how to build AI systems that don’t just react — they act. Agentic AI is your guide to designing autonomous, goal-driven systems that think, plan, and execute with purpose.

This 15x PDF collection is a compilation of the best cheat sheets created for my free Finxter Email Academy that teaches Python in byte-sized video and cheat sheet lessons.

"Let's learn more about our human biases to make less biased conclusions in the future." If you need it between your fingers, you can order the paperback on Amazon(link below):The Cognitive Biases Compendium

Machine Learning ၏ အဓိပ္ပာယ်ကို လူအများစု အလွယ်တကူ နားလည်နိုင်ရန် အဓိပ္ပာယ် ဖွင့်ဆိုရမည်ဆိုပါက ကွန်ပြူတာ (သို့မဟုတ်) စက် တစ်ခုခုကို လူ့ကိုယ်စား (သို့မဟုတ်) လူကဲ့သို့ ပြုမူဆောင်ရွက်နိုင်စေရန် သင်ကြားပေးခြင်းဟု ယေဘုယျ ဖွင့်ဆို နိုင်ပါသည်။ဥပမာ ပေးရမည် ဆိုပါက ၂၀၂၂ ခုနှစ် နို၀င်ဘာလတွင် OpenAI မှ စတင် ထုတ်လိုက်သည့် ChatGPT ဖြစ်သည်။

I wanted to understand how ChatGPT and other large language models (LLMs) really work, so I read a lot of books, watched YouTube videos, asked hundreds of questions, and wrote it all down. This book is the result. If you want to understand how large language models like ChatGPT actually work, from tokens and vectors to transformers and training, this book will explain it in a clear, approachable way.

Aprende los conceptos básicos del Machine Learning y avanza poco a poco con teoría y divertidos ejercicios prácticos en Python a niveles intermedios y avanzados hasta llegar al Deep Learning.Tu camino para convertirte en un Científico de Datos comienza aquí