Machine Learning with R, 2nd Edition
Discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R
| Price | $39.99 - $45.77
|
| Rating |  |
| Author | Brett Lantz |
| Publisher | Packt Publishing |
| Published | 2015 |
| Pages | 452 |
| Language | English |
| Format | Paper book / ebook (PDF) |
| ISBN-10 | 1784393908 |
| ISBN-13 | 9781784393908 |
Updated and upgraded to the latest libraries and most modern thinking, Machine Learning with R, Second Edition provides you with a rigorous introduction to this essential skill of professional data science. Without shying away from technical theory, it is written to provide focused and practical knowledge to get you building algorithms and crunching your data, with minimal previous experience.
With this book, you'll discover all the analytical tools you need to gain insights from complex data and learn how to choose the correct algorithm for your specific needs. Through full engagement with the sort of real-world problems data-wranglers face, you'll learn to apply machine learning methods to deal with common tasks, including classification, prediction, forecasting, market analysis, and clustering.
- Brett Lantz (3 books)
5 5 316
Similar Books
Practical Data Science with R, 2nd Edition
by Nina Zumel, John Mount
Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever expanding field of data science. You'll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business...
Price: $39.99 | Publisher: Manning | Release: 2019
Machine Learning with R, 4th Edition
by Brett Lantz
Machine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data. Machine Learning with R, Fourth Edition, provides a hands-on, accessible, and readable guide to applying machine learning to real-world problem...
Price: $35.99 | Publisher: Packt Publishing | Release: 2023
Deep Learning with R, 2nd Edition
by Francois Chollet, Tomasz Kalinowski, J. J. Allaire
Deep Learning with R, 2nd Edition shows you how to put deep learning into action. It's based on the revised new edition of François Chollet's bestselling Deep Learning with Python. All code and examples have been expertly translated to the R language by Tomasz Kalinowski, who maintains the Keras and Tensorflow R packages at RSt...
Price: $54.57 | Publisher: Manning | Release: 2022
Machine Learning with R, 3rd Edition
by Brett Lantz
Machine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data.Machine Learning with R, Third Edition provides a hands-on, readable guide to applying machine learning to real-world problems. Whether you are ...
Price: $35.99 | Publisher: Packt Publishing | Release: 2019
Machine Learning with PySpark, 2nd Edition
by Pramod Singh
Master the new features in PySpark 3.1 to develop data-driven, intelligent applications. This updated edition covers topics ranging from building scalable machine learning models, to natural language processing, to recommender systems.Machine Learning with PySpark, Second Edition begins with the fundamentals of Apache Spark, including the...
Price: $49.05 | Publisher: Apress | Release: 2022
by Nick Pentreath
Apache Spark is a framework for distributed computing that is designed from the ground up to be optimized for low latency tasks and in-memory data storage. It is one of the few frameworks for parallel computing that combines speed, scalability, in-memory processing, and fault tolerance with ease of programming and a flexible, expressive, ...
Price: $34.99 | Publisher: Packt Publishing | Release: 2015
Java Persistence with Hibernate, 2nd Edition 
by Christian Bauer, Gavin King, Gary Gregory
Java Persistence with Hibernate, 2nd Edition explores Hibernate by developing an application that ties together hundreds of individual examples. You'll immediately dig into the rich programming model of Hibernate, working through mappings, queries, fetching strategies, transactions, conversations, caching, and more. Along the way you...
Price: $39.99 | Publisher: Manning | Release: 2015
Machine Learning with TensorFlow
by Nishant Shukla, Kenneth Fricklas
TensorFlow, Google's library for large-scale machine learning, simplifies often-complex computations by representing them as graphs and efficiently mapping parts of the graphs to machines in a cluster or to the processors of a single machine.Machine Learning with TensorFlow gives readers a solid foundation in machine-learning concept...
Price: $5.60 | Publisher: Manning | Release: 2018