Machine learning using R : with time series and industry-based uses in R /: with time series and industry-based uses in R. ([2019])

• Record Type: Book
• Further Information: Note: Karthik Ramasubramanian, Abhishek Singh.
• Authors: Ramasubramanian, Karthik; Singh, Abhishek, 1976-
• Contents: Chapter 1: Introduction to Machine Learning -- Chapter 2: Data Exploration and Preparation -- Chapter 3: Sampling and Resampling Techniques -- Chapter 4: Visualization of Data -- Chapter 5: Feature Engineering -- Chapter 6: Machine Learning Models: Theory and Practice -- Chapter 7: Machine Learning Model Evaluation -- Chapter 8: Model Performance Improvement -- Chapter 9: Time Series Modelling -- Chapter 10: Scalable Machine Learning and related technology -- Chapter 11: Introduction to Deep Learning Models using Keras and TensorFlow.
• Edition: Second edition
• Publisher Details: New York, New York : Apress
• Publication Date: 2019
• Extent: 1 online resource (712 p.)
• Subjects: 006.3/1; Machine learning; R (Computer program language); Machine learning; R (Computer program language); Electronic books
• Languages: English
• ISBNs: 9781484242155; 1484242157
• Related ISBNs: 9781484242148; 1484242149
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.