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Item #:
88388629
Machine Learning and Deep Learning With Python: Use Python Jupyter to Implement Mathematical Concepts, Machine Learning , (Hardcover)
Item #:
88388629
BTN 4933
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This book is the ultimate resource for mastering cutting-edge technologies in machine learning and deep learning with Python.
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Product Details
- This book is a comprehensive guide to understanding and implementing cutting-edge machine learning and deep learning techniques using the Python programming language. Written with both beginners and experienced developers in mind, this book provides a thorough overview of the foundations of machine learning and deep learning, including mathematical fundamentals, optimization algorithms and neural networks.Starting with the basics of Python programming, this book gradually builds up to more advanced topics, such as artificial and convolutional neural networks, generative adversarial networks. Each chapter is filled with clear explanations, practical examples, and step-by-step tutorials that allow readers to gain a deep understanding of the underlying principles of machine learning and deep learning.Throughout the book, readers will also learn how to use popular Python libraries and packages, including numpy, pandas, scikit-learn, TensorFlow, and Keras, to build and train powerful machine learning and deep learning models for a variety of real-world applications, such as regressions and classification, K-means, support vector machines, and recommender systems.Whether you are a seasoned data scientist or a beginner looking to enter the world of machine learning, this book is the ultimate resource for mastering these cutting-edge technologies and taking your skills to the next level. High-school level of mathematical knowledge and all levels (including entry-level) of programming skills are good to start, all Python codes are available at Github.com.
| Book format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | February, 2023 |
| Pages | 376 |
| Subgenre | Artificial Intelligence |
| Series title | No Series |
| Edition | 1 |
| Publisher | James Chen |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Educational level | High School |
| Is collectible | N |
| Binding type | Case Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.00 x 0.88 x 9.00 in (15.2 x 2.2 x 22.9 cm) |
| Assembled product weight | 1.44 lb (650 grams) |
| Bisac subject heading | Computers |
Product Description
Machine Learning and Deep Learning With Python: Use Python Jupyter to Implement Mathematical Concepts, Machine Learning , (Hardcover)
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Customer Questions & Answers
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Question:
What prior knowledge do I need to start this book?
Answer: A high-school level of mathematical knowledge and any level of programming skills is recommended. -
Question:
Are the Python codes available for practice?
Answer: Yes, all Python codes used in the book are available on GitHub. -
Question:
What types of machine learning techniques will I learn?
Answer: You'll learn techniques including artificial and convolutional neural networks, generative adversarial networks, and more.
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BTN 4933
Order now and get it around Tuesday, October 20
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Features & Benefits
- Comprehensive guide on machine learning and deep learning.
- Designed for both beginners and experienced developers.
- Includes mathematical fundamentals, optimization algorithms, and neural networks.
- Step-by-step tutorials using popular Python libraries.
- Real-world applications like regressions, classification, and recommender systems.
- All Python codes available on GitHub.
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