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Machine Learning with Python for Everyone

SKU: 9780134845623
Regular price $83.99
Unit price
per
  • Author:
    Mark Fenner
  • ISBN:
    9780134845623
  • Publication Date:
    August 2019
  • Edition:
    1
  • Pages:
    592
  • Binding:
    Paperback
  • Publisher:
    Pearson Education
  • Country of Publication:
    United Kingdom
Machine Learning with Python for Everyone
Machine Learning with Python for Everyone

Machine Learning with Python for Everyone

SKU: 9780134845623
Regular price $83.99
Unit price
per
  • Author:
    Mark Fenner
  • ISBN:
    9780134845623
  • Publication Date:
    August 2019
  • Edition:
    1
  • Pages:
    592
  • Binding:
    Paperback
  • Publisher:
    Pearson Education
  • Country of Publication:
    United Kingdom

Description

Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you're an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Principal instructor Mark E. Fenner relies on plain-English stories, pictures, and Python examples to communicate the ideas of machine learning.

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  • Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you're an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Principal instructor Mark E. Fenner relies on plain-English stories, pictures, and Python examples to communicate the ideas of machine learning.

Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you're an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Principal instructor Mark E. Fenner relies on plain-English stories, pictures, and Python examples to communicate the ideas of machine learning.