Original PDF Ebook – Machine Learning for OpenCV1st Edition – 9781783980284

Original PDF Ebook – Machine Learning for OpenCV1st Edition – 9781783980284

Expand your OpenCV knowledge and master key concepts of machine learning using this practical, hands-on guide._x000D_
About This Book_x000D_
Load, store, edit, and visualize data using OpenCV and Python_x000D_
Grasp the fundamental concepts of classification, regression, and clustering_x000D_
Understand, perform, and experiment with machine learning techniques using this easy-to-follow guide_x000D_
Evaluate, compare, and choose the right algorithm for any task_x000D_
Who This Book Is For_x000D_
This book targets Python programmers who are already familiar with OpenCV; this book will give you the tools and understanding required to build your own machine learning systems, tailored to practical real-world tasks._x000D_
What You Will Learn_x000D_
Explore and make effective use of OpenCV’s machine learning module_x000D_
Learn deep learning for computer vision with Python_x000D_
Master linear regression and regularization techniques_x000D_
Classify objects such as flower species, handwritten digits, and pedestrians_x000D_
Explore the effective use of support vector machines, boosted decision trees, and random forests_x000D_
Get acquainted with neural networks and Deep Learning to address real-world problems_x000D_
Discover hidden structures in your data using k-means clustering_x000D_
Get to grips with data pre-processing and feature engineering_x000D_
In Detail_x000D_
Machine learning is no longer just a buzzword, it is all around us: from protecting your email, to automatically tagging friends in pictures, to predicting what movies you like. Computer vision is one of today’s most exciting application fields of machine learning, with Deep Learning driving innovative systems such as self-driving cars and Google’s DeepMind.