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Real-World Machine Learning - Research Book

Real-World Machine Learning - Research Book

Essential Research Book in Real-World Machine Learning

Author(s) Name:  Henrik Brink Joseph W. Richards Mark Fetherolf

About the Book:

   Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. Without overdosing you on academic theory and complex mathematics, it introduces the day-to-day practice of machine learning, preparing you to successfully build and deploy powerful ML systems.

Table of Contents

  Part 1. The machine-learning workflow
  Chapter 1. What is machine learning?
  Chapter 2. Real-world data
  Chapter 3. Modeling and prediction
  Chapter 4. Model evaluation and optimization
  Chapter 5. Basic feature engineering
Part 2. Practical application
  Chapter 6. Example: NYC taxi data
  Chapter 7. Advanced feature engineering
  Chapter 8. Advanced NLP example: movie review sentiment
  Chapter 9. Scaling machine-learning workflows
  Chapter 10. Example: digital display advertising

ISBN:  9781617291920

Publisher:  Manning Publications

Year of Publication:  2016

Book Link:  Home Page Url