Mastering Machine Learning with R: Advanced machine learning techniques for building smart applications with R 3.5 (repost)
Mastering Machine Learning with R:
Advanced machine learning techniques for building smart applications with R 3.5
English | 2019 | ISBN: 9781789618006 | 356 Pages | PDF EPUB (True) | 9 MB
Advanced machine learning techniques for building smart applications with R 3.5
English | 2019 | ISBN: 9781789618006 | 356 Pages | PDF EPUB (True) | 9 MB
This newly updated edition is packed with fresh examples covering a range of tasks from different domains. Mastering Machine Learning with R starts by showing you how to quickly manipulate data and prepare it for analysis. You will explore simple and complex models and understand how to compare them. You’ll also learn to use the latest library support, such as TensorFlow and Keras-R, for performing advanced computations. Additionally, you’ll explore complex topics, such as natural language processing (NLP), time series analysis, and clustering, which will further refine your skills in developing applications. Each chapter will help you implement advanced ML algorithms using real-world examples. You’ll even be introduced to reinforcement learning, along with its various use cases and models. In the concluding chapters, you’ll get a glimpse into how some of these blackbox models can be diagnosed and understood.