Neural Networks with R: Smart models using CNN, RNN, deep learning, and artificial intelligence principles
Language: English
Published by Packt Publishing, 2017
- Softcover
- New
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
AbeBooks seller since March 25, 2015
Condition: New
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Add to basketItem description from seller
In English.
Seller Inventory # ria9781788397872_new
- Title
- Neural Networks with R: Smart models using CNN, RNN, deep learning, and artificial intelligence principles
- Author
- Giuseppe Ciaburro;Balaji Venkateswaran
- Publisher
- Packt Publishing
- Publication year
- 2017
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1788397878
- ISBN 13
- 9781788397872
- Item weight
- 591 grams
Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide
Key Features
- Get started in the field of Machine Learning with the help of this solid, concept-rich, yet highly practical guide.
- Your one-stop solution for everything that matters in mastering the whats and whys of Machine Learning algorithms and their implementation.
- Get a solid foundation for your entry into Machine Learning by strengthening your roots (algorithms) with this comprehensive guide.
Book Description
As the amount of data continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, spam detection, document search, and trading strategies, to speech recognition. This makes machine learning well-suited to the present-day era of Big Data and Data Science. The main challenge is how to transform data into actionable knowledge.
In this book you will learn all the important Machine Learning algorithms that are commonly used in the field of data science. These algorithms can be used for supervised as well as unsupervised learning, reinforcement learning, and semi-supervised learning. A few famous algorithms that are covered in this book are Linear regression, Logistic Regression, SVM, Naive Bayes, K-Means, Random Forest, TensorFlow, and Feature engineering. In this book you will also learn how these algorithms work and their practical implementation to resolve your problems. This book will also introduce you to the Natural Processing Language and Recommendation systems, which help you run multiple algorithms simultaneously.
On completion of the book you will have mastered selecting Machine Learning algorithms for clustering, classification, or regression based on for your problem.
What You Will Learn
- Acquaint yourself with important elements of Machine Learning
- Understand the feature selection and feature engineering process
- Assess performance and error trade-offs for Linear Regression
- Build a data model and understand how it works by using different types of algorithm
- Learn to tune the parameters of Support Vector machines
- Implement clusters to a dataset
- Explore the concept of Natural Processing Language and Recommendation Systems
- Create a ML architecture from scratch.
Who This Book Is For
This book is for IT professionals who want to enter the field of data science and are very new to Machine Learning. Familiarity with languages such as R and Python will be invaluable here.
"Synopsis" may belong to another edition of this title.
About the Author
Giuseppe Ciaburro holds a PhD in environmental technical physics, along with two master's degrees. His research was focused on machine learning applications in the study of urban sound environments. He works at the Built Environment Control Laboratory at the Università degli Studi della Campania Luigi Vanvitelli, Italy. He has over 18 years' professional experience in programming (Python, R, and MATLAB), first in the field of combustion, and then in acoustics and noise control. He has several publications to his credit.
"About the title" may belong to another edition of this title.
Ria Christie Collections
Uxbridge, United Kingdom
AbeBooks seller since March 25, 2015
Shipping rates from United Kingdom to U.S.A.
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