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Can I read R Machine Learning By Example : Understand the Fundamentals of Machine Learning with R and Build Your Own Dynamic Algorithms to Tackle Complicated Real-world Problems Successfully on EtoBox?

R Machine Learning By Example : Understand the Fundamentals of Machine Learning with R and Build Your Own Dynamic Algorithms to Tackle Complicated Real-world Problems Successfully by Bali, Raghav, Sarkar, Dipanjan is a nonfiction available to read on EtoBox.

What is R Machine Learning By Example : Understand the Fundamentals of Machine Learning with R and Build Your Own Dynamic Algorithms to Tackle Complicated Real-world Problems Successfully about?

**Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully** About This Book* Get to grips with the concepts of machine learning through exciting real-world examples * Visualize and solve complex problems by using power-packed R constructs and its robust packages for machine learning * Learn to build your own machine learning system with this example-based practical guide Who This Book Is ForIf you are interested in mining useful information from data using state-of-the-art techniques to make data-driven decisions, this is a go-to guide for you. No prior experience with data science is required, although basic knowledge of R is highly desirable. Prior knowledge in machine learning would be helpful but is not necessary. What You Will Learn* Utilize the power of R to handle data extraction, manipulation, and exploration techniques * Use R to visualize data spread across multiple dimensions and extract useful features * Explore the underlying mathematical and logical concepts that drive machine learning algorithms * Dive deep into the world of analytics to predict situations correctly * Implemen

Who reads R Machine Learning By Example : Understand the Fundamentals of Machine Learning with R and Build Your Own Dynamic Algorithms to Tackle Complicated Real-world Problems Successfully?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Bali, Raghav, Sarkar, Dipanjan
Publisher
Packt Publishing, Limited
Published
2016
Language
EN
ISBN
9781938377006
Category
nonfiction
Subjects
Engineering, Mathematics, Science
Rating
4.41 / 5 (218 ratings)
Updated
2026-03-14

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