Independently Published
Mastering Data Science: From Data Collection to Machine Learning with Python
$21.82
Independently Published
Mastering Machine Learning with Python: Learn Data Science, Artificial Intelligence, and Deep Learning Techniques
Product Code:
9798304685153
ISBN13:
9798304685153
Condition:
New
$21.82
Mastering Machine Learning with Python: Learn Data Science, Artificial Intelligence, and Deep Learning Techniques
$21.82
"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
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
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
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
| Author: Thompson Carter |
| Publisher: Independently Published |
| Publication Date: 45650 |
| Number of Pages: 228 pages |
| Binding: Computers |
| ISBN-10: |
| ISBN-13: 9798304685153 |
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