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Hands-On Data Science with R

You're reading from  Hands-On Data Science with R

Product type Book
Published in Nov 2018
Publisher Packt
ISBN-13 9781789139402
Pages 420 pages
Edition 1st Edition
Languages
Authors (4):
Vitor Bianchi Lanzetta Vitor Bianchi Lanzetta
Profile icon Vitor Bianchi Lanzetta
Doug Ortiz Doug Ortiz
Profile icon Doug Ortiz
Nataraj Dasgupta Nataraj Dasgupta
Profile icon Nataraj Dasgupta
Ricardo Anjoleto Farias Ricardo Anjoleto Farias
Profile icon Ricardo Anjoleto Farias
View More author details
Toc

Table of Contents (16) Chapters close

Preface 1. Getting Started with Data Science and R 2. Descriptive and Inferential Statistics 3. Data Wrangling with R 4. KDD, Data Mining, and Text Mining 5. Data Analysis with R 6. Machine Learning with R 7. Forecasting and ML App with R 8. Neural Networks and Deep Learning 9. Markovian in R 10. Visualizing Data 11. Going to Production with R 12. Large Scale Data Analytics with Hadoop 13. R on Cloud 14. The Road Ahead 15. Other Books You May Enjoy

What is machine learning?

What do we mean by machine learning? It's an interdisciplinary subject that cares about the development, comprehension, and application of computational methods meant to learn and generalize from datasets; it's usually related but not limited to big data. Machine learning shores up a family of ever-growing methods, suitable for overcoming a wide range of problems.

I deeply appreciate how it has been used to fight junk email. The way it suggests replies to emails (that hardly are spam) proved to be of enormous aid too.

Such a great ability to solve problems certainly attracted big companies and tech geeks all over the world.

Machine learning everywhere

Netflix is uses machine learning to...

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