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Machine Learning Algorithms

- Popular algorithms for data science and machine learning, 2nd Edition

About Machine Learning Algorithms

Machine learning explores the study and construction of algorithms that can learn from and make predictions on data. This book will act as an entry point for anyone who wants to make a career in Machine Learning. It covers algorithms like Linear regression, Logistic Regression, SVM, Naive Bayes, K-Means, Random Forest, and Feature engineering.

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  • Language:
  • English
  • ISBN:
  • 9781789347999
  • Binding:
  • Paperback
  • Pages:
  • 522
  • Published:
  • August 29, 2018
  • Edition:
  • 2
  • Dimensions:
  • 233x193x27 mm.
  • Weight:
  • 958 g.
  In stock
Delivery: 3-5 business days
Expected delivery: November 21, 2024

Description of Machine Learning Algorithms

Machine learning explores the study and construction of algorithms that can learn from and make predictions on data. This book will act as an entry point for anyone who wants to make a career in Machine Learning. It covers algorithms like Linear regression, Logistic Regression, SVM, Naive Bayes, K-Means, Random Forest, and Feature engineering.

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