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Mastering Python for AI and Data Science

Language EnglishEnglish
Book Paperback
Book Mastering Python for AI and Data Science THOMPSON CARTER
Libristo code: 47135054
Publishers Amazon Digital Services LLC - Kdp, December 2024
Transform your career and join the AI revolution with this groundbreaking guide that bridges theory... Full description
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Transform your career and join the AI revolution with this groundbreaking guide that bridges theory and real-world application. Whether you're a complete beginner or an experienced programmer, this essential resource provides a clear, structured path to mastering artificial intelligence and data science using Python.
What Sets This Book Apart

Practical Focus
Unlike theoretical textbooks, this guide emphasizes hands-on learning with real-world projects, from building recommendation systems to developing autonomous agents.

Industry-Relevant Skills

Learn the exact techniques used by top tech companies, including deep learning, natural language processing, and computer vision applications that drive today's AI innovations.

Step-by-Step Learning
Progress from Python basics to advanced AI concepts through carefully crafted chapters that build upon each other, ensuring a solid foundation for lasting success.

Key Features

  • Comprehensive coverage of machine learning algorithms and deep learning architectures
  • Practical projects in every chapter with downloadable code
  • Advanced topics in neural networks, computer vision, and natural language processing
  • Best practices for deploying AI models in production environments
  • Ethical AI development guidelines and consideration
Perfect For
  • Aspiring data scientists and AI engineers
  • Software developers transitioning to AI
  • Students and academics seeking practical AI experience
  • Business professionals wanting to leverage AI
  • Anyone interested in breaking into the lucrative field of artificial intelligence

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About the book

Full name Mastering Python for AI and Data Science
Language English
Binding Book - Paperback
Date of issue 2024
Number of pages 280
EAN 9798304134903
Libristo code 47135054
Weight 376
Dimensions 152 x 229 x 15
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