Machine Learning: Intermediate’s Guide with R/Python

Have you basic knowledge about Machine Learning?

Copyright:© 2018 by Thomas Farth, All rights reserved.


Have you completed the book “A Beginner’s Guide to Machine Learning”


Now its time to enhance your Machine Learning Knowldge


Machine Learning: An Intermediate’s Guide


You will learn:

  • Master Machine Learning on Python & R.
  • Have a Great intuition of many Machine Learning models
  • Make accurate predictions
  • Make powerful analysis
  • Extensive Practice of Python Libraries
  • Regression & Classification
  • Handle specific topics like NLP, Clustering & Deep Learning

Description:

Interested in the field of Machine Learning? Then this book is for you!

The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data.

It would seek to explain common terms and algorithms in an intuitive way. The authors used a progressive approach whereby we start out slowly and improve on the complexity of our solutions.

This book and the accompanying examples, you would be well suited to tackle problems which enhance your interests using machine learning. The title opens with a general introduction to machine learning from a macro level. The second half of the book is more practical and dives into Data Processing, Regression, Classification, Clustering, Natural Language Processing and Deep Learning.

Download your copy now so you can get started on what is promising to be a most amazing future.



Book details

  • Authors:Thomas Farth
  • Pages:68 pages
  • Format:azw3
  • Size:0.23Mb
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