Machine learning for OpenCV : a practical introduction to the world of machine learning and image processing using OpenCV and Python / Michael Beyeler

By:

Beyeler, Michael [author]

Publication details: Birmingham, UK : Packt Publishing Ltd, 2017.Description: vii, 357 pages : illustrations ; 24 cmISBN:

9781783980284

Other title:

Practical introduction to the world of machine learning and image processing using OpenCV and Python

Subject(s):

DDC classification:

23 006.31 B468M

Contents:

Chapter 1: A Taste of Machine Learning -- Chapter 2: Working with Data in OpenCV and Python -- Chapter 3: First Steps in Supervised Learning -- Chapter 4: Representing Data and Engineering Features -- Chapter 5: Using Decision Trees to Make a Medical Diagnosis -- Chapter 6: Detecting Pedestrians with Support Vector Machines -- Chapter 7: Implementing a Spam Filter with Bayesian Learning -- Chapter 8: Discovering Hidden Structures with Unsupervised Learning -- Chapter 9: Using Deep Learning to Classify Handwritten Digits -- Chapter 10: Combining Different Algorithms into an Ensemble -- Chapter 11: Selecting the Right Model with Hyperparameter Tuning -- Chapter 12: Wrapping Up.

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Item type	Current library	Call number	Status	Date due	Barcode
Books	Library and Documentation Division PGRRL	006.31 B468M (Browse shelf(Opens below))	Available		112134

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Includes index.

Chapter 1: A Taste of Machine Learning --
Chapter 2: Working with Data in OpenCV and Python --
Chapter 3: First Steps in Supervised Learning --
Chapter 4: Representing Data and Engineering Features --
Chapter 5: Using Decision Trees to Make a Medical Diagnosis --
Chapter 6: Detecting Pedestrians with Support Vector Machines --
Chapter 7: Implementing a Spam Filter with Bayesian Learning --
Chapter 8: Discovering Hidden Structures with Unsupervised Learning --
Chapter 9: Using Deep Learning to Classify Handwritten Digits --
Chapter 10: Combining Different Algorithms into an Ensemble --
Chapter 11: Selecting the Right Model with Hyperparameter Tuning --
Chapter 12: Wrapping Up.

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