Mastering Machine Learning with Python (Paperback)

Thompson Carter

ISBN 13: 9798304685153

Edité par Independently Published, 2024

A propos de cet article

Paperback. "Mastering Machine Learning with Python: From Novice to Expert in 2025"Embark on a transformative journey into the world of machine learning with this comprehensive, hands-on guide. Whether you're a complete beginner or an experienced programmer, this book delivers cutting-edge techniques and practical implementations that are relevant for today's AI-driven world.What You'll MasterLatest Python frameworks including TensorFlow 2.x and PyTorch 2.0Real-world projects using GPT-4 and DALL-E 3 integrationAdvanced neural network architectures and deployment strategiesEthical AI development and responsible machine learning practicesWhy This Book Stands OutWritten by industry experts with decades of combined experience, this book bridges the gap between theoretical concepts and practical application. Each chapter builds upon the previous, creating a solid foundation while introducing advanced concepts through hands-on examples and real-world case studies.Perfect ForSoftware developers transitioning to AIData scientists seeking practical implementation skillsStudents pursuing careers in machine learningBusiness professionals needing technical AI knowledge Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

N° de réf. du vendeur 9798304685153

Détails bibliographiques

• Titre: Mastering Machine Learning with Python (Paperback)
• Éditeur: Independently Published
• Date de parution: 2024
• Langue: anglais
• ISBN à 13 chiffres: 9798304685153
• Reliure: Paperback
• État de l'article: new

A propos de ce titre

Synopsis

"Mastering Machine Learning with Python: From Novice to Expert in 2025"Embark on a transformative journey into the world of machine learning with this comprehensive, hands-on guide. Whether you're a complete beginner or an experienced programmer, this book delivers cutting-edge techniques and practical implementations that are relevant for today's AI-driven world.
What You'll Master

• Latest Python frameworks including TensorFlow 2.x and PyTorch 2.0
• Real-world projects using GPT-4 and DALL-E 3 integration
• Advanced neural network architectures and deployment strategies
• Ethical AI development and responsible machine learning practices

Why This Book Stands Out
Written by industry experts with decades of combined experience, this book bridges the gap between theoretical concepts and practical application. Each chapter builds upon the previous, creating a solid foundation while introducing advanced concepts through hands-on examples and real-world case studies.
Perfect For

• Software developers transitioning to AI
• Data scientists seeking practical implementation skills
• Students pursuing careers in machine learning
• Business professionals needing technical AI knowledge