AI and ML for Coders in Pytorch - A Coder's Guide to Generative AI and Machine Learning

Eager to learn AI and machine learning but unsure where to start? Laurence Moroney's hands-on, code-first guide demystifies complex AI concepts without relying on advanced mathematics. Designed for programmers, it focuses on practical applications using PyTorch, helping you build real-world models without feeling overwhelmed. From computer vision and natural language processing (NLP) to generative AI with Hugging Face Transformers, this book equips you with the skills most in demand for AI development today. You'll also learn how to deploy your models across the web and cloud confidently.

• Gain the confidence to apply AI without needing advanced math or theory expertise
• Discover how to build AI models for computer vision, NLP, and sequence modeling with PyTorch
• Learn generative AI techniques with Hugging Face Diffusers and Transformers
  
  

  Info autore

  Laurence Moroney is and award-winning researcher and best-selling author. A veteran in the programming and machine learning industry, Laurence has authored over 20 books, including top selling programming books, science fiction novels, and even movie-related comic books. He teaches popular AI specializations on Coursera with Andrew Ng of deeplearning.ai. A recognized speaker all over the world, Laurence is passionate about demistifying AI and ML for software developers.

Dettagli sul prodotto

• Autori: Laurence Moroney, Laurence Moroney, Moroney Laurence
• Editore: O'Reilly
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 12.08.2025
• EAN: 9781098199173
• ISBN: 978-1-0981-9917-3
• Dimensioni: 177 mm x 232 mm x 22 mm
• Peso: 770 g
• Categorie: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Linguaggi di programmazione; machine learning, COMPUTERS / Programming / General, COMPUTERS / Software Development & Engineering / Tools, Information technology: general issues, Computer programming / software engineering, Programming & scripting languages: general, Information technology: general topics, COMPUTERS / Data Science / Machine Learning, Programming and scripting languages: general, Computer Programming / Software Development, COMPUTERS / Languages / Python, Software testing and verification, Software testing & verification, COMPUTERS / Artificial Intelligence / Generative AI