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Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
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KGS 3598
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This practical book shows you how...all you need is programming experience to get started.
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What Stands Out
Информация о продукте
- Book contains black and white graphics
- Covers practical use of deep learning with scikit-learn and TensorFlow in Python
- Provides concrete examples and minimal theory for intuitive understanding of machine learning concepts
- Includes exercises for practical application of learned techniques
- Explores various machine learning models and neural net architectures
- Offers practical code examples without overwhelming readers with excessive theory
| Publisher | O'Reilly Media |
| Publication date | May 9, 2017 |
| Edition | 1st |
| Language | English |
| Print length | 572 pages |
| ISBN-10 | 1491962291 |
| ISBN-13 | 978-1491962299 |
| Item Weight | 2.12 pounds (960 grams) |
| Dimensions | 7 x 1.29 x 9.19 inches (17.8 x 3.3 x 23.3 cm) |
| Country of Origin | This item will be imported from US |
| Date First Available | April 29, 2021 |
| What is in the box | Hands-On Machine Learning with... For more details, please check description/product details |
Who Should Buy?
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Aspiring Data Scientists
Ideal for individuals starting their careers in data science, providing practical tools and essential concepts for machine learning.
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Software Engineers
Software professionals looking to expand their skills in AI and machine learning will find valuable insights and applications.
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Students in AI
University students studying artificial intelligence or related fields can benefit from hands-on examples and comprehensive techniques.
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Beginners in Coding
Individuals with no programming experience may find the content too advanced and challenging to comprehend effectively.
ОПИСАНИЕ ТОВАРА
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
About This Item
Discover the power of machine learning with the "Hands–On Machine Learning with Scikit–Learn and TensorFlow" book. This comprehensive paperback, published on 24 March 2017, is perfect for beginners and aspiring data scientists who want to master the art of machine learning using the popular Scikit-Learn and TensorFlow platforms. Machine learning has become increasingly important in the world of data analysis, predictive modeling, classification, regression, natural language processing, computer vision, and recommendation systems. With this book, you will gain hands-on experience and a deep understanding of how to leverage the capabilities of Scikit-Learn and TensorFlow to build powerful machine learning models. Whether you are a student, a professional, or someone looking to delve into the world of machine learning, this book is your comprehensive guide.
It covers everything from the basics of machine learning and the fundamental algorithms to advanced topics such as deep learning and neural networks. With "Hands–On Machine Learning with Scikit–Learn and TensorFlow," you will learn by doing. The book provides practical examples, tutorials, and algorithms to help you grasp the concepts and apply them to real-world problems. You will discover how to use Scikit-Learn and TensorFlow to analyze data, transform it, and create models that can make predictions and solve complex problems. Get started on your journey to becoming a machine learning expert today.
Order "Hands–On Machine Learning with Scikit–Learn and TensorFlow" and unlock the full potential of Scikit-Learn and TensorFlow in your data analysis and machine learning endeavors.
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KGS 3598
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Особенности и преимущества
- Practical guide for building intelligent systems with machine learning
- Minimal theory and concrete examples
- Uses two production-ready Python frameworks - scikit-learn and TensorFlow
- Covers techniques from linear regression to deep neural networks
- Includes exercises to apply what is learned in each chapter
- Programming experience is all that is needed
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