Brief history of machine learning how it works machine learning techniques


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THE FUNDAMENTALS
OF MACHINE LEARNING


WHAT IS MACHINE LEARNING?
BRIEF HISTORY OF MACHINE LEARNING
HOW IT WORKS
MACHINE LEARNING TECHNIQUES
THE IMPORTANCE OF THE HUMAN ELEMENT
WHO’S USING IT?
CHALLENGES AND HESITATIONS
THE FUTURE OF MACHINE LEARNING
CONTRIBUTORS
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TABLE OF CONTENTS
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WHAT IS MACHINE LEARNING?
Whether we realize it or not, machine learning is something we 
encounter on a daily basis. While the technology is not new, 
with the rise of artificial intelligence (AI) and the digital age, it is 
becoming increasingly important to understand what it is, how it 
differs from AI, and the major role it will play in the future. This 
whitepaper will discuss all of the above, and explore different 
types of machine learning, how they work, and how a majority
of industries are utilizing it.
First and foremost, it’s important to understand exactly what 
machine learning is and how it differs from AI. In its simplest form, 
machine learning is a set of algorithms learned from data and/or 
experiences, rather than being explicitly programmed. Each task 
requires a different set of algorithms, and these algorithms detect 
patterns to perform certain tasks.
HOW IS IT DIFFERENT FROM
ARTIFICIAL INTELLIGENCE?
While the two are interconnected, machine learning and artificial 
intelligence are different. It’s easiest to think of machine learning 

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