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R Machine Learning Essentials

R Machine Learning Essentials

By : Usuelli
5 (1)
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R Machine Learning Essentials

R Machine Learning Essentials

5 (1)
By: Usuelli

Overview of this book

If your company is like most, the number one reason that projects have failed over the years don’t have to do with technology.  They have to do with people.  People didn’t like the new technology.  People weren’t trained properly on the change.  People hadn’t received adequate communications and didn’t understand the change.  Sound familiar?
Table of Contents (10 chapters)
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9
Index

Chapter 5. Step 2 – Applying Machine Learning Techniques

This chapter focuses on applying the machine learning algorithm, and it is the core of developing the solution. There are different types of techniques that learn from the data. Depending on our target, we can use the data to identify similarities between objects or to estimate an attribute on new objects.

In order to show the machine learning techniques, we start from the flag data that we processed in the previous chapter. However, reading this chapter doesn't require you to know about the previous, although it is recommended to understand where the data came from.

In this chapter you will learn to:

  • Identify homogeneous groups of items
  • Explore and visualize the item groups
  • Estimate a new country language
  • Set the configuration of a machine learning technique
CONTINUE READING
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Tech Concepts
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Programming languages
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R Machine Learning Essentials
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