Practical Machine Learning in R - Fred Nwanganga,Mike Chapple
-35% koodilla BOOKS
Toimitus 31-37 arkipäivässä
30 päivän palautusoikeus
INTRODUCING MACHINE LEARNING THROUGH THE INTUITIVE R PROGRAMMING LANGUAGE Machine learning and data analytics have emerged as important avenues of value creation. Through machine learning, you can discover hidden patterns in data, leading to new ideas and understandings that might remain unknown without this powerful technique. Practical Machine Learning in R offers a hands-on introduction to working with l ... Täydellinen kuvaus
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INTRODUCING MACHINE LEARNING THROUGH THE INTUITIVE R PROGRAMMING LANGUAGE
Machine learning and data analytics have emerged as important avenues of value creation. Through machine learning, you can discover hidden patterns in data, leading to new ideas and understandings that might remain unknown without this powerful technique. Practical Machine Learning in R offers a hands-on introduction to working with large datasets using the R programming language, which is simple to understand and was built specifically for statistical analysis. Even if you have no prior coding experience, this book will show you how data scientists put machine learning into practice to generate business insights, solid predictions, and better decisions.
Unlike other books on the topic, Practical Machine Learning in R provides both a conceptual and technical introduction to machine learning. Examples and exercises use the R programming language and the latest data analytics tools, so you can get started without getting bogged down by advanced mathematics. With this book, machine learning techniques?from logistic regression to association rules and clustering?are within reach.
The only book to integrate an intuitive introduction to machine learning with step-by-step technical applications, Practical Machine Learning in R shows you how to:
- Conceptualize the different types of machine learning
- Discover patterns that exist within large datasets
- Begin writing and executing R scripts with RStudio
- Use R with Tidyverse to manage and visualize data
- Apply core statistical techniques like logistic regression and Naïve Bayes
- Evaluate and improve upon machine learning models
Lisätietoja
| Kirjoittaja | Fred Nwanganga, Mike Chapple |
|---|---|
| Julkaisija | John Wiley & Sons Inc |
| Julkaisuvuosi | 2020 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9781119591511 |