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Category: "Machine Learning"

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  1. Super Study Guide: ตัวแปลงและแบบจำลองภาษาขนาดใหญ่

    หนังสือเล่มนี้เป็นคู่มือฉบับกระชับพร้อมภาพประกอบ สำหรับผู้ที่อยากเข้าใจการทำงานภายในของแบบจำลองภาษาขนาดใหญ่ ในบริบทการสัมภาษณ์ ทำโครงการ หรือเพื่อสนองตอบความใคร่รู้ของตนเอง

  2. The Hundred-Page Guide to the Core Mathematics of Machine Learning
    The Hundred-Page Guide to the Core Mathematics of Machine Learning
    A Practical Introduction to Linear Algebra, Calculus, and Statistics with Python and NumPy
    PR

    Demystify the mathematical foundations of machine learning with this concise, hands-on guide. Dive into the essentials of linear algebra, calculus, and statistics, specifically tailored for practical application with Python and NumPy. No more wading through dense textbooks – get the core concepts you need to build intelligent systems, fast.

  3. Probabilistic Forecasting with Conformal Prediction in Python
    Probabilistic Forecasting with Conformal Prediction in Python
    The Practical Guide to Uncertainty Quantification for Data Science, Machine Learning, and Forecasting
    Valery Manokhin

    Turn uncertainty into a competitive advantage with probabilistic forecasting and Conformal Prediction.

  4. Applied Conformal Prediction:Practical Uncertainty Quantification for Real-World ML
    Applied Conformal Prediction:Practical Uncertainty Quantification for Real-World ML
    Practical Uncertainty Quantification for Real-World ML Learn Conformal Prediction (CP), the state-of-the-art technique for building statistically valid, model-agnostic prediction intervals
    Valery Manokhin

    A powerful new book on Conformal Prediction by bestselling author and machine learning expert Valery Manokhin, bridging theory and real-world machine learning. Discover how to quantify uncertainty with statistical guarantees—across deep learning, time series, forecasting, and more. Preorder now before the price goes up.

  5. The inner workings of Large Language Models
    The inner workings of Large Language Models
    how neural networks learn language
    Roger Gullhaug

    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.

  6. AGI for Business Leaders: Transforming Operations and Strategy for Billion-Dollar Growth
    AGI for Business Leaders: Transforming Operations and Strategy for Billion-Dollar Growth
    **Unlocking the Power of Artificial General Intelligence for Sustainable Growth and Billion-Dollar Success**
    Dr. johnson krish

    Unlock the power of Artificial General Intelligence (AGI) to revolutionize your business operations and strategy. This comprehensive guide explores how AGI can drive innovation, streamline processes, and enhance decision-making to help you build a multi-billion-dollar company. From optimizing customer experience and marketing to fostering sustainable growth, this book provides a step-by-step roadmap for leveraging AGI to achieve long-term success. Whether you're a business leader, entrepreneur, or strategist, discover how AGI can be your ultimate tool for competitive advantage in today’s fast-paced market. Get ready to transform your business and shape the future of your industry!

  7. Mastering CatBoost: The Hidden Gem of Tabular AI
    Mastering CatBoost: The Hidden Gem of Tabular AI
    Harness the Power of CatBoost for Tabular Data and Beyond
    Valery Manokhin

    Unlock the full potential of CatBoost — a powerful gradient boosting library built for structured/tabular data and still underused in practice.In Mastering CatBoost: The Hidden Gem of Tabular AI, you’ll learn how to take advantage of CatBoost’s key strengths: native categorical feature handling, strong accuracy, and fast inference — without brittle preprocessing pipelines.Written for data scientists, ML engineers, and applied researchers, the book covers:Real-world use cases and end-to-end workflowsPractical tuning strategies and diagnosticsInterpretability with SHAP, feature importance, and constraintsDeployment-minded best practices and common failure modesWhether you’re new to CatBoost or ready to go deeper, this is a clear, practical guide to building high-performance tabular models.Early Access is available now, with ongoing updates leading to the full release in 2026.

  8. Data Careers 101: From Math to Machine Learning
    No Description Available
  9. Python Data Science Cookbook
    Python Data Science Cookbook
    Practical solutions across fast data cleaning, processing, and machine learning workflows with pandas, NumPy, and scikit-learn
    GitforGits | Asian Publishing House

    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.

  10. MOST COMMON MISTAKES IN MACHINE LEARNING AND HOW TO AVOID THEM: With Examples in Python

    Understanding the most common mistakes in machine learning will allow you not only to avoid them, but to build better machine learning systems and less prone to errors. After reading this book, you will be ready to build more robust and trustworthy machine learning models.

  11. Super Study Guide: ترانسفورمرها و مدل‌های زبانی بزرگ

    این کتاب راهنمایی مختصر و تصویری است برای افرادی که می‌خواهند سازوکارهای مدل‌های زبانی بزرگ را در مصاحبه‌ها، پروژه‌ها یا حتی برای رفع کنجکاوی شخصی‌شان بهتر درک کنند.

  12. Agentic Artificial Intelligence
    Agentic Artificial Intelligence
    Building Autonomous, Goal-Driven Systems
    Luca Berton

    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.

  13. AI Fundamentals
    AI Fundamentals
    Understanding the Core Concepts, Technologies, and Business Impact of Artificial Intelligence
    A DASCIN Publication

    Unlock the power of Artificial Intelligence with AI Fundamentals—your essential guide to understanding and applying AI in the real world. From machine learning and neural networks to big data and algorithmic transparency, this book breaks down complex concepts into clear, actionable insights. Discover how AI is transforming industries, driving innovation, and creating competitive advantages for businesses worldwide. Through real-world case studies, ethical considerations, and practical frameworks, AI Fundamentals equips you with the knowledge to harness AI effectively. Whether you’re a business leader, data scientist, or AI enthusiast, this book provides the tools to navigate the AI-driven future with confidence.

  14. Super Study Guide: Dönüştürücüler ve Büyük Dil Modelleri
    Super Study Guide: Dönüştürücüler ve Büyük Dil Modelleri
    Afshine Amidi, Shervine Amidi, and Merve Ayyüce KIZRAK

    Büyük dil modellerine dair ana kavramları ve pratik uygulamaları kapsayan, açık ve görsellerle desteklenmiş bir rehber. Projeler, mülakatlar ve kişisel öğrenme için idealdir.

  15. DeepSeek AI from Beginner to Paid Professional, Part 1
    DeepSeek AI from Beginner to Paid Professional, Part 1
    Master DeepSeek with Hands-On Practice, Real-World Applications and Scalable AI Solutions
    Bolakale Aremu

    Welcome to Part 1 of DeepSeek AI from Beginner to Paid Professional! In this installment, we dive into DeepSeek, a cutting-edge platform that is revolutionizing the way we build, deploy, and scale AI solutions. Whether you're a beginner taking your first steps into generative AI or an intermediate learner looking to deepen your expertise, this part of the series will equip you with the hands-on skills and practical knowledge to master DeepSeek and create deployable AI applications.