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 (2 books)
4 5 64
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
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: $59.99 | 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
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: $17.20 | Publisher: Manning | Release: 2018
by Francois Chollet, J. J. Allaire
Machine learning has made remarkable progress in recent years. Deep-learning systems now enable previously impossible smart applications, revolutionizing image recognition and natural-language processing, and identifying complex patterns in data. The Keras deep-learning library provides data scientists and developers working in R a state-...
Price: $39.99 | Publisher: Manning | Release: 2018
Practical Machine Learning with Rust
by Joydeep Bhattacharjee
Explore machine learning in Rust and learn about the intricacies of creating machine learning applications. This book begins by covering the important concepts of machine learning such as supervised, unsupervised, and reinforcement learning, and the basics of Rust. Further, you'll dive into the more specific fields of machine learnin...
Price: $19.21 | Publisher: Apress | Release: 2020
by Carlo Milanesi
Learn to program with Rust 2021 Edition, in an easy, step-by-step manner on Unix, the Linux shell, macOS, and the Windows command line. As you read this book, you'll build on the knowledge you gained in previous chapters and see what Rust has to offer. Beginning Rust starts with the basics of Rust, including how to name objects, cont...
Price: $37.65 | Publisher: Apress | Release: 2022