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Grokking Machine Learning by Serrano G. Luis

Grokking Machine Learning

by Serrano G. Luis
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Book cover type: Paperback
  • ISBN13: 9781617295911
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Manning Publications
  • Publisher Imprint: Manning Publications
  • Publication Date:
  • Pages: 350
  • Original Price: GBP 48.99
  • Language: English
  • Edition: N/A
  • Item Weight: 862 grams
  • BISAC Subject(s): Data Science / Machine Learning, Languages / Python, and Data Science / Neural Networks

It's time to dispel the myth that machine learning is difficult. Grokking Machine Learning teaches you how to apply ML to your projects using only standard Python code and high school-level math. No specialist knowledge is required to tackle the hands-on exercises using readily available machine learning tools!

In Grokking Machine Learning, expert machine learning engineer Luis Serrano introduces the most valuable ML techniques and teaches you how to make them work for you. Practical examples illustrate each new concept to ensure you're grokking as you go. You'll build models for spam detection, language analysis, and image recognition as you lock in each carefully-selected skill. Packed with easy-to-follow

Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert.

Key Features

- Different types of machine learning, including supervised and unsupervised learning

- Algorithms for simplifying, classifying, and splitting data

- Machine learning packages and tools

- Hands-on exercises with fully-explained Python code samples

For readers with intermediate programming knowledge in Python or a similar language.

About the technology

Machine learning is a collection of mathematically-based techniques and algorithms that enable computers to identify patterns and generate predictions from data. This revolutionary data analysis approach is behind everything from recommendation systems to self-driving cars, and is transforming industries from finance to art.

Luis G. Serrano has worked as the Head of Content for Artificial Intelligence at Udacity and as a Machine Learning Engineer at Google, where he worked on the YouTube recommendations system. He holds a PhD in mathematics from the University of Michigan, a Bachelor and Masters from the University of Waterloo, and worked as a postdoctoral researcher at the University of Quebec at Montreal. He shares his machine learning expertise on a YouTube channel with over 2 million views and 35 thousand subscribers, and is a frequent speaker at artificial intelligence and data science conferences.

Serrano, Luis: - Luis G. Serrano is a research scientist in quantum artificial intelligence at Zapata Computing. He has worked previously as a Machine Learning Engineer at Google, as a Lead Artificial Intelligence Educator at Apple, and as the Head of Content in Artificial Intelligence and Data Science at Udacity. Luis has a PhD in mathematics from the University of Michigan, a bachelor's and master's in mathematics from the University of Waterloo, and worked as a postdoctoral researcher at the Laboratoire de Combinatoire et d'Informatique Mathématique at the University of Quebec at Montreal. Luis maintains a popular YouTube channel about machine learning with over 75,000 subscribers and over 3 million views, and is a frequent speaker at artificial intelligence and data science conferences.

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