Building Machine Learning Powered Applications by Emmanuel Ameisen PDF Download

Download Building Machine Learning Powered Applications by Emmanuel Ameisen PDF eBook Free. Building Machine Learning Powered Applications is the computer vision, pattern recognition, computer algorithms, and natural language book that teaches the necessary skills of IT experts.

Description of Building Machine Learning Powered Applications by Emmanuel Ameisen PDF

Building Machine Learning Powered Applications is pattern recognition, computer vision, natural language, and computer algorithms book that offers the teaching related to machine learning. Emmanuel Ameisen is the author of this outstanding book. This guide shows how to master the basic skills of machine learning like deploying, building, and designing applications. It contains hands-on notes and examples that make it easy for the student to pick concepts. This book is specially written for product managers, data scientists, and software engineers. It consists of a few chapters and every chapter covers something new for the students.

There are respective tools and strategies for newbies to build concepts. Further, it covers challenges, case studies, and best practices for the people. He has decades of experience being a data scientist and also led an AI education program for years. Emmanuel explains each and everything in a proper way such as screenshots, illustrations, code snippets, and photographs. Learn how to work with ML and then how you can build ML application on your own. Discover the techniques to improve your ML functioning. It is time to plan your product goal and think to implement it on ML.

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Details About Building Machine Learning Powered Applications by Emmanuel Ameisen

  • Name: Building Machine Learning Powered Applications: Going from Idea to Product 1st Edition
  • Authors: Emmanuel Ameisen
  • Publish Date: February 4, 2020
  • Language: English
  • Genre: Pattern Recognition, a computer algorithm
  • Format: PDF/ePub
  • Size: 12 MB
  • Pages: 260
  • Price: Free
  • ISBN: 149204511X

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