Introduction to Machine Learning with R
Rigorous Mathematical Analysis
|Price||$41.65 - $57.04
|Format||Paper book / ebook (PDF)|
Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you'll first start to learn with regression modelling and then move into more advanced topics such as neural networks and tree-based methods.
Finally, you'll delve into the frontier of machine learning, using the caret package in R. Once you develop a familiarity with topics such as the difference between regression and classification models, you'll be able to solve an array of machine learning problems. Author Scott V. Burger provides several examples to help you build a working knowledge of machine learning.
Explore machine learning models, algorithms, and data training; Understand machine learning algorithms for supervised and unsupervised cases; Examine statistical concepts for designing data for use in models; Dive into linear regression models used in business and science; Use single-layer and multilayer neural networks for calculating outcomes; Look at how tree-based models work, including popular decision trees; Get a comprehensive view of the machine learning ecosystem in R; Explore the powerhouse of tools available in R's caret package.
3 5 5
by Brett Lantz
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 an...
Price: $24.95 | Publisher: Packt Publishing | Release: 2015
by Sarah Guido, Andreas Muller
Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today...
Price: $46.72 | Publisher: O'Reilly Media | Release: 2016
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 learning, su...
Price: $19.21 | Publisher: Apress | Release: 2020
by Hefin I. Rhys
Machine learning (ML) is a collection of programming techniques for discovering relationships in data. With ML algorithms, you can cluster and classify data for tasks like making recommendations or fraud detection and make predictions for sales trends, risk analysis, and other forecasts. Once the domain of academic data scientists, machin...
Price: $39.99 | Publisher: Manning | Release: 2020
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: $31.99 | Publisher: Packt Publishing | Release: 2019
by Matt R. Cole
The necessity for machine learning is everywhere, and most production enterprise applications are written in C# using tools such as Visual Studio, SQL Server, and Microsoft Azur2e. Hands-On Machine Learning with C# uniquely blends together an understanding of various machine learning concepts, techniques of machine learning, and various a...
Price: $31.99 | Publisher: Packt Publishing | Release: 2018
by Sebastian Raschka, Vahid Mirjalili
Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems.Packed with clear explanations, visualizations, and working examples, the book covers all the esse...
Price: $35.99 | Publisher: Packt Publishing | Release: 2019
by Butch Quinto
Access real-world documentation and examples for the Spark platform for building large-scale, enterprise-grade machine learning applications.The past decade has seen an astonishing series of advances in machine learning. These breakthroughs are disrupting our everyday life and making an impact across every industry.Next-Generation Machine...
Price: $26.41 | Publisher: Apress | Release: 2020