AI & Khoa học dữ liệu

English | April 25th, 2025 | ISBN: 1836647859 | 386 pages | True EPUB (Retail Copy) | 49.15 MB Transform your professional world with ChatGPT and OpenAI master prompt design to revolutionize development, marketing, research, and enterprise implementation Key Features • Turn ChatGPT into your companion for marketing, research, personal productivity, art and coding • Learn prompt engineering techniques that deliver consistent, relevant, and ethical AI-powered results • Build custom GPTs and assistants tailored to your specific business needs and workflows Book Description Practical Generative AI with ChatGPT is your hands-on guide to unlocking the full potential of ChatGPT. From building AI assistants and mastering prompt engineering...

English | 2025 | ISBN: 9789819799145 | 261 pages | True PDF,EPUB | 53.88 MB This book covers all aspects of machine learning (ML) from concepts and math to ML programming. ML concepts and the math associated with ML are written from an application perspective, rather than from a theoretical perspective. The book presents concepts and algorithms precisely as they are used in real-world applications, ensuring a seamless and practical understanding with no gap between theory and practice. In a distinctive approach, the book's content is complemented by video lectures whose details can be found inside the book. This innovative approach offers readers a multimedia learning experience, accommodating different learning preferences, and...

English | 2025 | ISBN: 1633439917 | 520 pages | True EPUB | 19.13 MB How do you know what might have happened, had you done things differently? Causal AI gives you the insight you need to make predictions and control outcomes based on causal relationships instead of pure correlation, so you can make precise and timely interventions. Causal AI is a practical introduction to building AI models that can reason about causality. In Causal AI you will learn how to Build causal reinforcement learning algorithms Implement causal inference with modern probabilistic machine tools such as PyTorch and Pyro Compare and contrast statistical and econometric methods for causal inference Set up algorithms for attribution, credit assignment, and...

English | 2025 | ISBN: 1718504209 | 669 Pages | True EPUB | 25.51MB Dip into deep learning without drowning in theory with this fully updated edition of Practical Deep Learning from experienced author and AI expert Ronald T. Kneusel. After a brief review of basic math and coding principles, you’ll dive into hands-on experiments and learn to build working models for everything from image analysis to creative writing, and gain a thorough understanding of how each technique works under the hood. Whether you’re a developer looking to add AI to your toolkit or a student seeking practical machine learning skills, this book will teach you How neural networks work and how they’re trained How to use classical machine learning models How to...

English | 2025 | ISBN: 1394341725 | 752 pages | True EPUB | 20.76 MB A comprehensive roadmap to using AI in your career and in your life Artificial intelligence is everywhere. Major software organizations like Microsoft, Google, and Apple have built AI directly into products and invited the world to become part of the AI revolution. And it's impossible to use these tools to their fullest potential without understanding the basics of what AI is and what it can do. Artificial Intelligence All-in-One For Dummies compiles insight from the expert authors of AI books in the For Dummies series to provide an easy-to-follow walkthrough for anyone interested in learning how to use AI. You'll learn how to put artificial intelligence to work for...