Machine Learning : Guide For Beginners With R/Python/Scala

CreateSpace Independent Publishing Platform
SKU:
9781729563953
|
ISBN13:
9781729563953
$11.48
(No reviews yet)
Condition:
New
Usually Ships in 24hrs
Current Stock:
Estimated Delivery by: | Fastest delivery by:
Adding to cart… The item has been added
Buy ebook
Are you thinking of learning more about MachineLearning?(For Beginners)You will learn: Machine Learning Engineers earn on average $166,000 - become an ideal candidate withthis course! Master Machine Learning on Python, R &Scala Have a great intuition of many Machine Learning models Mathematical Foundation: Linear Algebra, Multivariate Calculus & Probability Theory Make powerful analysis Introduction to Programming Language Tools for Machine Learning Introduction to R/Python/Scala Introduction to MLlib (Apache Spark Libraries of Python Description: Interested in the field of Machine Learning? Then this book is for you! 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 introducing mathematical concepts, specific algorithms, introduction to programming languages, best programming languages for Machine Learning and libraries of Python applied in Machine Learning, Download your copy now so you can get started on what is promising to be a most amazing future.


  • | Author: Thomas Farth
  • | Publisher: Createspace Independent Publishing Platform
  • | Publication Date: Oct 27, 2018
  • | Number of Pages: 84 pages
  • | Language: English
  • | Binding: Paperback
  • | ISBN-10: 1729563953
  • | ISBN-13: 9781729563953
Author:
Thomas Farth
Publisher:
Createspace Independent Publishing Platform
Publication Date:
Oct 27, 2018
Number of pages:
84 pages
Language:
English
Binding:
Paperback
ISBN-10:
1729563953
ISBN-13:
9781729563953