An Introduction to Machine Learning

Just like electricity, Machine Learning will revolutionize our life in many ways - some of which are not even conceivable today. This book provides a thorough conceptual understanding of Machine Learning techniques and algorithms. Many of the mathematical concepts are explained in an intuitive manne...

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Bibliographic Details
Main Authors: Rebala, Gopinath (Author), Ravi, Ajay (Author), Churiwala, Sanjay (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Subjects:
Electronic circuits.
Artificial intelligence.
Computational intelligence.
Electronic Circuits and Systems.
Artificial Intelligence.
Computational Intelligence.
Online Access:Full-text access
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Table of Contents:
  • Introduction
  • Basics before Machine Learning
  • Learning Models
  • Regression
  • Improving Further
  • Classification
  • Clustering (unsupervised Learning)
  • Random Forests
  • Testing the Algorithm and the Network
  • Neural Network
  • Reinforcement Learning
  • Deep Learning
  • Principal Component Analysis
  • Anomaly Detection
  • Recommender System
  • Feature Search/Convolution
  • Natural Language Processing
  • Language Translation
  • AlphaGo
  • Data Quality
  • System Improvement
  • Software stack
  • Hardware Implementations. .

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