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Machine Learning: A Step By Step Guide from Beginner To Expert (Beginner, Intermediate & Advanced)
| AUTHOR | James, Robert |
| PUBLISHER | Independently Published (06/02/2019) |
| PRODUCT TYPE | Paperback (Paperback) |
Description
★★Buy the Paperback Version of this Book and get the Kindle Book version for FREE ★★ Machine Learning is a sub-area of artificial intelligence, whereby the term refers to the ability of IT systems to independently find solutions to problems by recognizing patterns in databases. Machine Learning enables IT systems to recognize patterns on the basis of existing algorithms and data sets and to develop adequate solution concepts. Therefore, in Machine Learning, artificial knowledge is generated on the basis of experience.This guidebook is going to take some time to explore machine learning, and what it is all about. There are so many different aspects of machine learning and how to make it work for your needs, and all of it is found in this guidebook. Some of the different topics that you will be able to learn about inside include: Machine Learning Applications Artificial Intelligence The Artificial Intelligence Ecosystem Machine learning Myths Big Data Analytics Important Big Data Applications Big Data Analysis Tools How companies use Big Data Trends in Big Data Analysis Data mining and applications How to classify data mining systems Building a Neural Network in R How Fitting a Neural Network Machine Learning Projects & more......
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Product Format
Product Details
ISBN-13:
9781071164310
ISBN-10:
1071164317
Binding:
Paperback or Softback (Trade Paperback (Us))
Content Language:
English
More Product Details
Page Count:
218
Carton Quantity:
34
Product Dimensions:
6.00 x 0.50 x 9.00 inches
Weight:
0.72 pound(s)
Country of Origin:
US
Subject Information
BISAC Categories
Computers | Computer Engineering
Descriptions, Reviews, Etc.
publisher marketing
★★Buy the Paperback Version of this Book and get the Kindle Book version for FREE ★★ Machine Learning is a sub-area of artificial intelligence, whereby the term refers to the ability of IT systems to independently find solutions to problems by recognizing patterns in databases. Machine Learning enables IT systems to recognize patterns on the basis of existing algorithms and data sets and to develop adequate solution concepts. Therefore, in Machine Learning, artificial knowledge is generated on the basis of experience.This guidebook is going to take some time to explore machine learning, and what it is all about. There are so many different aspects of machine learning and how to make it work for your needs, and all of it is found in this guidebook. Some of the different topics that you will be able to learn about inside include: Machine Learning Applications Artificial Intelligence The Artificial Intelligence Ecosystem Machine learning Myths Big Data Analytics Important Big Data Applications Big Data Analysis Tools How companies use Big Data Trends in Big Data Analysis Data mining and applications How to classify data mining systems Building a Neural Network in R How Fitting a Neural Network Machine Learning Projects & more......
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