New PDF release: Applied Machine Learning with Python

By Hamidreza Sattari

Key Features

  • Develop an entire appreciation of the large themes in computing device studying, like whilst supervised or unsupervised studying is appropriate
  • Stay clear of partisanship with reference to libraries and discover ways to review libraries completely based on their usefulness in a real-world context.
  • Show useful makes use of of deep learning
  • when are you able to use desktop studying algorithms and whilst are deep studying algorithms acceptable- computing device studying for enterprise, no longer Kaggle competitions

Book Description

When a developer applies laptop studying within the genuine global, he wishes how computing device studying initiatives are carried out from soup to nuts, from the instant info must be ready for computing device studying tasks, as much as the chances offered through deep studying libraries. decisions of computing device studying algorithms tend to be offered in newbies books, yet then the context during which they're getting used has a tendency to be lacking. This publication is intended as a follow-up to introductory books on desktop studying, and it'll fill gaps just like the education of computer studying information for ML tasks, the diversity and strengths of computing device studying libraries, and the way tasks utilizing neural networks and deep studying algorithms are literally accomplished. In different phrases, this booklet embeds what has been realized in thought and in small initiatives, within the real-world.

What you'll learn

  • Data Integration for desktop studying projects
  • Data processing for desktop studying projects
  • Develop an entire appreciation for neural networks and deep learning
  • Learn to select from desktop studying libraries
  • Use allotted computer studying, e.g.Spark MLib, whilst appropriate

About the Author

Hamidreza Sattari is an IT specialist and has labored in different parts of software program engineering, from programming to structure in addition to administration. He holds a master’s measure in software program engineering from Herriot Watt college in Scotland. in recent times, his components of curiosity were software program structure, info technology, and laptop studying. He co-authored the Spring net prone 2 Cookbook and and Spring necessities for Packt. He additionally keeps a weblog lower than

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Applied Machine Learning with Python by Hamidreza Sattari

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