INVC NEWS
New Delhi,
McGraw Hill Education, a learning science company and leading educational publisher globally recently launched two books, namely, ‘Applied Machine Learning’ and ‘Data Analytics Using R’. ‘Applied Machine Learning’ a self-study guide for machine learning projects authored by M. Gopal, an Ex-Professor of IIT Delhi. He is a recognized researcher in the area of Machine 
Learning. ‘Data Analytics Using R’ is a comprehensive guide for IT professionals authored by Seema Acharya, a Senior Lead Principal with the Education, Training and Assessment department of Infosys Limited. She is an established author with several books in her kitty. Her approach is to keep the reader first, taking the learners through the concept of data analysis and providing practical experience of extracting deep and useful insights from data.
With the inclusion of new technologies such as AI, Robotics, Machine Learning (ML), Internet of Things (IoT) in the new curriculum prepared by AICTE, artificial intelligence is becoming an integral part of education on campuses. The books like Applied Machine Learning provide right tools for enhancing students’ knowledge as per the changing industry needs.
Applied Machine Learning, covers all the fundamentals and theoretical concepts and presents a wide range of techniques (algorithms) applicable to challenges in our day-to-day lives.
The book recognizes that most of the ideas behind machine learning are simple and straightforward. It provides a platform for hands-on experience through self-study machine learning projects. This is a comprehensive text book on machine learning for undergraduates in computer science and all engineering degree programs. While the book serves as a useful initial exposure tool to post graduates and research scholars before they go for highly theoretical depth in the specific areas of their research, it builds the foundation of machine learning for engineers, scientists, business managers and other practitioners.
Key Features:
· Covers a broad array of algorithms
· Datasets demonstrating real-life challenges like Breast Cancer Diagnosis, Optical Recognition of Handwritten Digits, Bank Telemarketing and Forecasting Stock Market Index Changes
· Concepts and techniques presented in a non-rigorous mathematical setting
· Nearly 200 problem exercises
Data Analytics Using R is a comprehensive and useful companion for IT professionals to data analysts and decision makers responsible for driving strategic initiatives, and management graduates and business analysts, engaged in self-study.
Key Features:
Exhaustive coverage includes installation of R and its package, getting accustomed to R interface and R commands, working with data from disparate data sources (.csv, JSON, XML, RDBMS etc.), getting conversant with classification, clustering, association rule mining, regression, text mining etc.
12 Case studies namely Insurance Fraud Detection, Customer Insights Analysis, Sales Forecasting, Credit Card Spending by Customer Groups andHelping Retailers Predict In-store Customer Traffic
Pedagogy
300+ chapter-end and check your progress questions for self-assessment
200 Multiple-choice questions
10+ hands-on practical exercises
Exhaustive illustrations
Applied Machine Learning, book is available at INR 650 while the Data Analytics Using R is priced at INR 550.
Hemant K Jha, Sr. Portfolio Manager, Science and Engineering, McGraw Hill Education (India) said, “Both the books, Applied Machine Learning and Data Analytics Using R are comprehensive enough to serve as text books as well as reference books. They have been developed after understanding the changing needs of the present-day education and the inclusion of AI, robotics, machine learning (ML) and Internet of Things (IoT) in the curriculum of technical education. The times are changing, and industry requires a new pool of talent skilled in new technologies. These books are aimed at nurturing students with right information and make them more industry relevant”.
He added, “We hope the books also prove to be one stop solution for working professionals and make concrete contribution to their journey to success”.
Both the books are available on www.mheducation.in
About the Authors:
M.Gopal, an Ex-Professor of IIT Delhi, is a globally known academician with excellent credentials as author, teacher, and researcher. He is the author/co-author of five books on Control Engineering. His books are used worldwide, and some of them have been translated into Chinese and Spanish.
A recognized researcher in the area of Machine Learning, he is the author/co-author of over 150 research papers; the key contributions have been published in high impact factor journals. He has supervised 16 doctoral research projects (seven of them in the machine learning area), and two projects are in progress.
M.Gopal holds B.Tech (Electrical), M.Tech (Control Systems), and PhD degrees from BITS, Pilani. His teaching and research stints span more than four decades at prestigious institutes like IIT Delhi (about three decades), IIT Bombay, BITS Pilani, and MNIT Jaipur. He has been associated with Shiv Nadar University since 2012.
Seema Acharya is a Senior Lead Principal with the Education, Training and Assessment department of Infosys Limited. She is a technology evangelist, a learning strategist, and an author with over 15 years of information technology industry experience in learning/ education services. She has designed and delivered several large-scale competency development programs across the globe involving organizational competency need analysis, conceptualization, design, development and deployment of competency development programs. She has authored some other books as well on the subject and has co-authored a paper on Collaborative Engineering Competency Development for ASEE (American Society for Engineering Education). She holds the patent on Method and system for automatically generating questions for a programming language.
