Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Sách keo gáy, bìa mềm
Reactive Publishing
Unlock the full potential
of machine learning with "Machine Learning," your essential guide to
conquering the cutting-edge tools that are reshaping the landscape of
data science and artificial intelligence. Whether you're a student, a
data science professional, or simply a tech enthusiast eager to delve
into the world of machine learning, this book will serve as your roadmap
to success.
Key Point
1. **Comprehensive
Coverage**: Leverage the power of the three dominant machine learning
libraries—PyTorch, TensorFlow, and Scikit-Learn. This guide covers
everything you need to excel in today’s AI-driven market.
2.
**Python-Focused Learning**: Tailored specifically for Pythonistas, this
resource capitalizes on the simplicity and elegance of Python to make
machine learning more approachable than ever before.
3.
**Real-World Applications**: Go beyond theory with practical examples
that demonstrate how machine learning can solve actual problems and
enhance the capabilities of your projects or business.
4.
**Structured Learning Path**: Each chapter is meticulously crafted,
leading you through 10 digestible subpoints that build a complete
understanding of the chapter's focus.
5. **Hands-On
Experience**: Engage with hands-on exercises that not only reinforce
theoretical knowledge but also provide the practical skills necessary
for applying machine learning models.
6. **Expert Insights**:
Gain valuable insights from industry professionals, ensuring that the
knowledge you acquire is not just theoretical but also applicable and
informed by real-world experience.
7. **Accessible Content**:
No matter your prior knowledge, the introductory and concluding sections
of every chapter are designed to offer context and summarize key
takeaways, making the complex world of machine learning more accessible.
8.
**Forward-Thinking Approach**: Keep ahead of the curve in an
ever-evolving field with content that anticipates the future needs and
challenges of the
…
Categories:Computers - Artificial Intelligence (AI)
Year:2023
Language:english
Pages:448
