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
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 po...
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Birmingham, UK
Packt Publishing
2016
|
| Schriftenreihe: | Community experience distilled
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781784390846/?ar |
| Zusammenfassung: | 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 For If 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 Implement R machine learning algorithms from scratch and be amazed to see the algorithms in action Write reusable code and build complete machine learning systems from the ground up Solve interesting real-world problems using machine learning and R as the journey unfolds Harness the power of robust and optimized R packages to work on projects that solve real-world problems in machine learning and data science In Detail Data science and machine learning are some of the top buzzwords in the technical world today. From retail stores to Fortune 500 companies, everyone is working hard to making machine learning give them data-driven insights to grow their business. With powerful data manipulation features, machine learning packages, and an active developer community, R empowers users to build sophisticated machine learning systems to solve real-world data problems. This book takes you on a data-driven journey that starts with the very basics of R and machine learning and gradually builds upon the concepts to work on projects that tackle real-world problems. You'll begin by getting an understanding of the core concepts and definitions required to appreciate machine learning algorithms and concepts. Building upon the basics, you will then work on three different projects to apply the concepts of ma... |
| Beschreibung: | Includes index. - Description based on online resource; title from cover page (Safari, viewed April 15, 2016) |
| Umfang: | 1 Online-Ressource (1 volume) illustrations. |
| ISBN: | 9781784392635 1784392634 1784390844 9781784390846 |
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| spelling | Bali, Raghav VerfasserIn aut 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 Raghav Bali, Dipanjan Sarkar Birmingham, UK Packt Publishing 2016 1 Online-Ressource (1 volume) illustrations. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Community experience distilled Includes index. - Description based on online resource; title from cover page (Safari, viewed April 15, 2016) 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 For If 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 Implement R machine learning algorithms from scratch and be amazed to see the algorithms in action Write reusable code and build complete machine learning systems from the ground up Solve interesting real-world problems using machine learning and R as the journey unfolds Harness the power of robust and optimized R packages to work on projects that solve real-world problems in machine learning and data science In Detail Data science and machine learning are some of the top buzzwords in the technical world today. From retail stores to Fortune 500 companies, everyone is working hard to making machine learning give them data-driven insights to grow their business. With powerful data manipulation features, machine learning packages, and an active developer community, R empowers users to build sophisticated machine learning systems to solve real-world data problems. This book takes you on a data-driven journey that starts with the very basics of R and machine learning and gradually builds upon the concepts to work on projects that tackle real-world problems. You'll begin by getting an understanding of the core concepts and definitions required to appreciate machine learning algorithms and concepts. Building upon the basics, you will then work on three different projects to apply the concepts of ma... Machine learning R (Computer program language) Apprentissage automatique R (Langage de programmation) Sarkar, Dipanjan VerfasserIn aut |
| spellingShingle | Bali, Raghav Sarkar, Dipanjan 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 Machine learning R (Computer program language) Apprentissage automatique R (Langage de programmation) |
| title | 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 |
| title_auth | 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 |
| title_exact_search | 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 |
| title_full | 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 Raghav Bali, Dipanjan Sarkar |
| title_fullStr | 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 Raghav Bali, Dipanjan Sarkar |
| title_full_unstemmed | 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 Raghav Bali, Dipanjan Sarkar |
| title_short | R machine learning by example |
| title_sort | 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 |
| title_sub | understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully |
| topic | Machine learning R (Computer program language) Apprentissage automatique R (Langage de programmation) |
| topic_facet | Machine learning R (Computer program language) Apprentissage automatique R (Langage de programmation) |
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