Explainable and Interpretable Models in Computer Vision and Machine Learning (The Springer Series on Challenges in Machine Learning) (English, Pape...

About the Book

This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning.Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like perf...

Why You Should Read This Book

• Written by acclaimed authors Hugo Jair Escalante, Sergio Escalera, Isabelle Guyon, Xavier Baró, Yağmur Güçlütürk, Umut Güçlü, Marcel van Gerven
• Published by Springer International Publishing AG (2019)
• 299 pages of comprehensive content
• Available in English language
• Ideal for students, professionals, and avid readers

Product Details

This edition of Explainable and Interpretable Models in Computer Vision and Machine Learning (The Springer Series on Challenges in Machine Learning) is published by Springer International Publishing AG and was first released in 2019. The book contains 299 pages packed with valuable information. It is available in multiple formats including Paperback and Hardcover editions, making it convenient for all types of readers.

Who Is This Book For?

Whether you are a student, a professional looking to expand your knowledge, or simply someone who loves reading, Explainable and Interpretable Models in Computer Vision and Machine Learning (The Springer Series on Challenges in Machine Learning) by Hugo Jair Escalante, Sergio Escalera, Isabelle Guyon, Xavier Baró, Yağmur Güçlütürk, Umut Güçlü, Marcel van Gerven is an excellent choice. Order your copy today from GlowMirror and enjoy free shipping with Cash on Delivery option available across India.