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Machine Learning with R, tidyverse, and mlr

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Machine learning 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, machine learning has become a mainstream business process, and tools like the easy-to-learn R programming language put high-quality data analysis in the hands of any programmer. Machine Learning with R, tidyverse, and mlr teaches you widely used ML techniques and how to apply them to your own datasets using the R programming language and its powerful ecosystem of tools. This book will get you started!

If you want to learn more about the book, follow the link: http://bit.ly/2FxH9IO

Veröffentlicht in: Software
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Machine Learning with R, tidyverse, and mlr

  1. 1. Machine Learning from the Ground up With Machine Learning with R, tidyverse, and mlr. Take 42% off by entering slrhys into the discount code box at checkout at manning.com.
  2. 2. Discover machine learning Do you have some skill with R, Python or another standard programming language? Interested in machine learning? Machine Learning with R, tidyverse, and mlr teaches you widely used ML techniques and how to apply them to your own datasets using the R programming language and its powerful ecosystem of tools. Traditional AI vs. Machine Learning
  3. 3. An approachable introduction Machine Learning with R, tidyverse, and mlr teaches you how to gain valuable insights from your data using the powerful R programming language. Whether you’re tackling business problems, crunching research data, or just a data-minded developer, you’ll be building your own ML pipelines in no time with this hands- on tutorial! An algorithm for cake
  4. 4. Hands-on learning You’ll delve into machine learning and the R language (with its ecosystem of tools) through engaging exercises and examples, designed to help you retain what you’re learning by using it in a practical manner right away. If you’re looking to add something hot to your resume, look no further!
  5. 5. About the author Hefin Ioan Rhys is a senior laboratory research scientist in the Flow Cytometry Shared Technology Platform at The Francis Crick Institute. He spent the final year of his PhD program teaching basic R skills at the university. A data science and machine learning enthusiast, he has his own Youtube channel featuring screencast tutorials in R and R Studio. Supervised vs. unsupervised algorithm
  6. 6. If you want to learn more about the book, check it out on liveBook here. Take 42% off Machine Learning with R, tidyverse, and mlr by entering slrhys into the discount code box at checkout at manning.com.

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