Real-World Machine Learning
ANG 114
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Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution.
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Product Details
- Practical guide for working developers to execute ML projects without overwhelming academic theory and complex mathematics
- Introduces day-to-day practice of machine learning to successfully build and deploy powerful ML systems
- Purchase includes free eBook in PDF, Kindle, and ePub formats from Manning Publications
- Teaches concepts and techniques needed without overdosing on abstract theory and complex mathematics
- Covers immediately relevant examples in Python, including data acquisition, modeling, classification, and regression
- Helps readers develop skills in model validation, optimization, scalability, and real-time streaming
| Publisher | Manning |
| Publication date | 30 Sept. 2016 |
| Edition | First Edition |
| Language | English |
| Print length | 264 pages |
| ISBN-10 | 9781617291920 |
| ISBN-13 | 978-1617291920 |
| Dimensions | 18.75 x 1.27 x 23.5 cm |
Product Description
Real-World Machine Learning
About This Item
Introducing the Real-World Machine Learning First Edition Book Are you ready to take your machine learning skills to the next level and apply them to real-world applications? Look no further than the Real-World Machine Learning First Edition book. Whether you're a beginner or an experienced practitioner, this book will provide you with the knowledge and techniques needed to implement machine learning in practical scenarios. Inside this book, you'll find a comprehensive guide filled with real-life examples and case studies showcasing the power of machine learning in various industries. From finance to healthcare, marketing to transportation, this book covers it all. Learn how to analyze real-world data sets and uncover valuable insights using machine learning algorithms.
Discover best practices for implementing machine learning models and techniques for overcoming common challenges. Gain a deep understanding of the latest advancements and strategies in the field of machine learning. With the Real-World Machine Learning First Edition book, you'll have everything you need to excel in the world of machine learning. Whether you're a student, a data scientist, or a business professional, this book is a must-have resource for anyone looking to harness the power of machine learning in their daily work. Don't miss out on this opportunity to expand your machine learning skills and stay ahead of the competition.
Order your copy of the Real-World Machine Learning First Edition book today and unlock the potential of machine learning in the real world.
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ANG 114
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Features & Benefits
- The book introduces the day-to-day practice of machine learning.
- It focuses on preparing developers to successfully build and deploy powerful ML systems.
- The book includes immediately relevant examples in Python, as well as tasks like model validation, optimization, scalability, and real-time streaming.
- No prior machine learning experience is assumed, but readers should know Python.
- The authors are experienced data scientists engaged in the daily practice of machine learning.
- The book is divided into two parts, the machine-learning workflow, and practical application.
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