Machine Learning Using R
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Machine Learning Using R aims to make ML concepts and model development using R simpler for students and practitioners. This book covers the theoretical concepts behind ML algorithms and illustrates use of R for developing ML models using datasets from customer relationship management, healthcare, finance, human resource management, social media, and sports. The book discusses challenges and remedies in building machine learning models using several real-life cases which the authors have worked upon as a part of consulting engagements. ·Machine Learning and R ·Data Preprocessing ·Data Visualization ·Probability and Distributions ·Supervised Learning Algorithm: Linear Regression ·Classification Problems ·Advanced Machine Learning ·Ensemble Methods ·Text Analytics
Kumar Rahul is an Engineering graduate from National Institute of Technology, Jaipur, and an alumnus of Indian Institute of Management Bangalore (IIMB). His professional career spans more than 16 years in the corporate and academic fields. Rahul is passionate about exploring data using a variety of tools and techniques. He has worked with companies like Satyam Computers, Nokia Siemens, and Deloitte Consulting and has also been a founding member of a few start-ups. Dr. U. Dinesh Kumar is a Professor of Decision Sciences at IIM Bangalore and Chairperson of MBA (Business Analytics). He is also the IIMB Chair of Excellence since January 2020. Dr. Dinesh Kumar has over 25 years of teaching and research experience. He has published more than 70 research articles in leading academic journals. Forty of his case studies on Business Analytics based on Indian and multinational organizations have been published at the Harvard Business Publishing’s (HBP) case portal. Nine of his case studies are best sellers at HBP.
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