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Can I read Machine Learning with R Quick Start Guide : a Beginner's Guide to Implementing Machine Learning Techniques from Scratch Using R 3. 5 on EtoBox?
Machine Learning with R Quick Start Guide : a Beginner's Guide to Implementing Machine Learning Techniques from Scratch Using R 3. 5 by Iván Pastor Sanz is a nonfiction available to read on EtoBox.
What is Machine Learning with R Quick Start Guide : a Beginner's Guide to Implementing Machine Learning Techniques from Scratch Using R 3. 5 about?
Learn how to use R to apply powerful machine learning methods and gain insight into real-world applications using clustering, logistic regressions, random forests, support vector machine, and more. Key Features Use R 3.5 to implement real-world examples in machine learning Implement key machine learning algorithms to understand the working mechanism of smart models Create end-to-end machine learning pipelines using modern libraries from the R ecosystem Book Description Machine Learning with R Quick Start Guide takes you on a data-driven journey that starts with the very basics of R and machine learning. It gradually builds upon core concepts so you can handle the varied complexities of data and understand each stage of the machine learning pipeline. From data collection to implementing Natural Language Processing (NLP), this book covers it all. You will implement key machine learning algorithms to understand how they are used to build smart models. You will cover tasks such as clustering, logistic regressions, random forests, support vector machines, and more. Furthermore, you will also look at more advanced aspects such as training neural networks and topic modeling. By the end of
Who reads Machine Learning with R Quick Start Guide : a Beginner's Guide to Implementing Machine Learning Techniques from Scratch Using R 3. 5?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Iván Pastor Sanz
- Publisher
- Packt Publishing, Limited
- Published
- 2019
- Language
- EN
- ISBN
- 9781838647056
- Category
- nonfiction
- Subjects
- Science, Technology, Computer Science
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