TY - BOOK ID - 117496141 TI - Machine learning with R : expert techniques for predictive modeling PY - 2019 SN - 9781788295864 1788295862 PB - Birmingham, UK Packt DB - UniCat KW - Machine learning KW - R (Computer program language) KW - #SBIB:303H4 KW - GNU-S (Computer program language) KW - Domain-specific programming languages KW - Learning, Machine KW - Artificial intelligence KW - Machine theory KW - Informatica in de sociale wetenschappen KW - Data Collection KW - Practice Guideline [Publication type] KW - Computer Science KW - QA 76.755 - Computer Software. Handbook UR - https://www.unicat.be/uniCat?func=search&query=sysid:117496141 AB - Machine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data.Machine Learning with R, Third Edition provides a hands-on, readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to uncover key insights, make new predictions, and visualize your findings.This new 3rd edition updates the classic R data science book to R 3.6 with newer and better libraries, advice on ethical and bias issues in machine learning, and an introduction to deep learning. Find powerful new insights in your data; discover machine learning with R. ER -