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MATLAB Machine Learning Recipes

By Michael Paluszek

MATLAB Machine Learning Recipes Computer Science

MATLAB Machine Learning Recipes

Only 1 item left in stock
Description
Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem. All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach is executable. The toolbox that the code uses provides a complete set of functions needed to implement all aspects of machine learning. Authors Michael Paluszek and Stephanie Thomas show how all of these technologies allow the reader to build sophisticated applications to solve problems with pattern recognition, autonomous driving, expert systems, and much more. What you'll learn:How to write code for machine learning, adaptive control and estimation using MATLAB
How these three areas complement each other
How these three areas are needed for robust machine learning applications
How to use MATLAB graphics and visualization tools for machine learning
How to code real world examples in MATLAB for major applications of machine learning in big data
Who is this book for: The primary audiences are engineers, data scientists and students wanting a comprehensive and code cookbook rich in examples on machine learning using MATLAB.
Product details
Binding:
Paperback
Edition:
2
Number of Pages:
347
Release Date:
2019-02-01
Publication Date:
2019-02-01
Publisher:
Apress
Languages:
Original: English
ISBN10:
1484239156
ISBN13:
9781484239155
GPSR Manufacturer Reference:
[email protected]
Weight:
644 g
Height:
178 cm
Width:
254 cm
Thickness:
19 cm
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Very good
Almost no signs of wear. Book pages have no markings, accessories are intact and all other media are in good condition.
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