The Fundamentals of Data Science: Big Data, Deep Learning, and Machine Learning: What you need to know about data science and why it matters

Sozonov, Vlad

ISBN 10: 1950766853 / ISBN 13: 9781950766857

Edité par Vinco Publishing, 2019

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N° de réf. du vendeur I-9781950766857

Détails bibliographiques

Titre : The Fundamentals of Data Science: Big Data, ...

Éditeur : Vinco Publishing

Date d'édition : 2019

Reliure : Couverture souple

Etat : New

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Synopsis :

Data science is no easy term to define.

While there are many definitions available that point out its statistical or logical aspects, others focus on its machine learning impacts. 

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The truth is, data science is a process that requires an understanding of multiple fields, methods, techniques, and more.

Data science cannot be easily labeled because, when applied, it looks different to each person, business, or organization utilizing it. While the term may not be easy to define, what it is used for, can be used for, and approaches to it can be more easily understood. And that is precisely what this book aims to do. 

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Here Is A Preview Of What You'll Discover...In this step-by-step book:

This book will not only thoroughly go over all the skills, people, and steps involved in data science, it will also look closely at:

●    What big data is and how data science came from it.
●    How data has evolved, resulting in new methods for understanding it.
●    How data science influenced artificial intelligence.
●    How data science is used in machine learning and deep learning. 
●    How data science revolutionizes the way we train machines and set up neural networks. 

Data science, big data, machine learning, and deep learning tend to intimidate people. Many believe it is too complicated or technology-centered for them to break into these fields. This book is designed to simplify these complex areas in a way that anyone can understand the fundamentals.

Whether you are just hearing about data science, are a student studying it in college, or looking to expand your career, this book has something to offer every type of data enthusiast. 

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