Machine Learning: Guide for Beginners with R/Python/Scala - Softcover

Farth, Thomas; Farth

Softcover

ISBN 10: 1729563953 ISBN 13: 9781729563953

Verlag: CreateSpace Independent Publishing Platform, 2018

Inhaltsangabe

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.

Über diesen Titel

Reseña del editor

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.

Details zur Ausgabe

• Verlag: CreateSpace Independent Publishing Platform
• Erscheinungsdatum: 2018
• Sprache: Englisch
• ISBN 10: 1729563953
• ISBN 13: 9781729563953
• Einband: Tapa blanda
• Anzahl der Seiten: 82
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar