Leanpub Header

Skip to main content

Filters

Category: "Neural Networks"

Books

  1. ? Mastering Forecasting Metrics & Accuracy: For Data Science and BeyondForecasting models are only as good as the metrics used to measure them. Yet many teams still rely on outdated or misleading measures like MAPE. This book is the first comprehensive, practitioner-friendly guide dedicated entirely to forecast evaluation metrics — blending clear theory, Python recipes, and real-world case studies.Learn how to avoid common pitfalls, measure bias, handle intermittent demand, and apply advanced metrics like MASE, RMSSE, CRPS, pinball loss, and calibration scores. Each chapter includes formulas, code, and visuals to make concepts easy to apply.Perfect for data scientists, ML engineers, analysts, researchers, and industry professionals in retail, finance, and energy. No heavy math required.? Living book: buy once, get free lifetime updates. Final price $40+.Measure what matters.Mastering Forecasting Metrics & Accuracy

  2. 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.

  3. 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.

  4. 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.

  5. Neural Nexus: Building a Multi-Billion Dollar Company with Brain-Computer Interfaces
    Unlocking the Future of Neurotechnology: A Step-by-Step Guide to Building a Multi-Billion Dollar BCI Company
    Dr. johnson krish

    *Neural Nexus: Building a Multi-Billion Dollar Company with Brain-Computer Interfaces* is the ultimate guide for entrepreneurs, innovators, and visionaries who want to unlock the vast potential of Brain-Computer Interface (BCI) technology. This book offers a deep dive into the cutting-edge world of BCIs, exploring not only the technical advancements but also the business strategies that can transform a groundbreaking idea into a global industry leader.

  6. Crispr Revolution: Building a Multi-Billion Dollar Company from Ground Zero"
    Turning Cutting-Edge Science into a Multi-Billion Dollar Biotech Business
    Dr. johnson krish

    Unlock the secrets to building a multi-billion-dollar company in the groundbreaking field of CRISPR gene-editing technology. *CRISPR Revolution: Building a Multi-Billion Dollar Company from Ground Zero* is the ultimate guide for entrepreneurs, scientists, and investors looking to capitalize on the future of genetic modification. Learn how to navigate the complexities of gene-editing, from understanding the science behind CRISPR to scaling your business, securing funding, and overcoming regulatory challenges. With actionable insights, proven strategies, and expert advice, this book empowers you to transform cutting-edge science into a thriving, profitable business. Whether you're aiming to cure diseases, enhance human longevity, or revolutionize agriculture, this book provides the roadmap to succeed in the rapidly evolving world of CRISPR. Take the first step toward creating a global impact and financial success in the biotech industry. Your journey to success starts here.

  7. No Description Available
  8. Mastering Modern Time Series Forecasting
    A Comprehensive Guide to Statistical, Machine Learning, and Deep Learning Models in Python
    Valery Manokhin

    Mastering Modern Time Series Forecasting is your all-in-one guide to building real-world forecasting systems that work — from classical stats to deep learning and beyond. Whether you're modeling retail demand or energy loads, this book gives you the tools, intuition, and code to go from zero to production. You'll cover ARIMA, ML, deep nets, transformers, and even the rise of FTSMs (Foundational Time Series Models). Written by a practitioner who’s built forecasting solutions for multibillion-dollar businesses, this is the hands-on, honest guide every data scientist, analyst, or forecaster needs.

  9. Your First Machine Learning Book breaks down the science behind AI in a way anyone can dive into.

  10. The Hundred-Page Language Models Book
    hands-on with PyTorch
    Andriy Burkov

    Master language models through mathematics, illustrations, and code―and build your own from scratch!

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

  12. A practical guide to fine-tuning Large Language Models (LLMs), offering both a high-level overview and detailed instructions on how to train these models for specific tasks.Get the paperback version here. Get the Kindle version here.

  13. Generative AI with local LLM
    A comprehensive roadmap for building AI-Driven applications with local LLMs
    Shamim Bhuiyan and Timur Isachenko

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

  14. The Essential Guide to Blockchain Platforms
    A comparative guide from Bitcoin to Solana to Kaspa
    Ross P Green

    Whether you're looking to invest, develop software or generally curious about a blockchain project, this guide will help you make an educated decision for which blockchain to choose. This book covers many blockchains both technically and comparatively, describing Bitcoin, Ethereum, Kaspa, Kadena, Algorand, Saito, Pulsechain, Solana, Sei, Bittensor and Nano. This book also asks the tough questions unveiling interesting insights:Does the Blockchain Trilemma really exist? Is the Trilemma a technological problem or an economic problem?Is there confusion on the definition of decentralisation? Is it better to focus on openness and non-excludability?Are the incentive mechanisms in many blockchains broken? Should all budget be focused on security, what about scalability and decentralisation?What is fee recycling attack? Which blockchain solves it? This is not just a guide; it's a roadmap for those seeking a deeper understanding of the technological nuances that differentiate blockchains.

  15. ChatGPT for beginners
    A Quick Introduction to Prompt Engineering!
    Wasi

    This practical guide shows you how to harness ChatGPT and GPT-5 to boost productivity, create content, organize notes, and solve real-world problems efficiently.  Learn how to craft precise prompts, optimize responses, and apply AI ethically while avoiding common pitfalls like bias, repetitive outputs, and over-reliance. The book also covers the evolution of GPT models, the Transformer architecture, and essential techniques to maximize AI performance.  With hands-on examples, workflow integration tips, and insights into advanced AI tools, this guide empowers students, professionals, and hobbyists to confidently use AI in daily life.  Take control of AI, improve your efficiency, and explore new creative possibilities with this beginner-friendly, practical, and responsible guide to ChatGPT and GPT-5.