文件名称：Machine Learning Using R 2nd Edition
文件大小：17.75MB
文件格式：PDF
更新时间：2022-01-20 12:59:16
Machine lear
Machine Learning Using R: With Time Series and Industry-Based Use Cases in R By 作者: Karthik Ramasubramanian – Abhishek Singh ISBN-10 书号: 1484242149 ISBN-13 书号: 9781484242148 Edition 版本: 2nd ed. 出版日期: 2018-12-13 pages 页数: (712) Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python if you are only comfortable with R. As in the first edition, the authors have kept the fine balance of theory and application of machine learning through various real-world use-cases which gives you a comprehensive collection of topics in machine learning. New chapters in this edition cover time series models and deep learning. What You’ll Learn