By U Dinesh Kumar, Manaranjan Pradhan
Machine Learning using Python offers a comprehensive foundation in machine learning, blending theoretical concepts with practical applications. It is ideal for beginners and aspiring professionals, covering all essential topics to build a strong foundation in machine learning. The book begins with python language basics, statistics, probability, and exploratory data analysis, and then progresses to supervised learning techniques like linear and logistic regressions, decision trees, KNN, SVM, random forests, boosting, stacking, recommender systems, and text analytics. It also explores unsupervised learning techniques such as clustering, anomaly detection, and dimensionality reduction.
Professor U Dinesh Kumar, is a professor of Decision Sciences and Chair of Excellence at the Indian Institute of Management Bangalore. Dr Dinesh Kumar has over 25 years of teaching and research experience. Prior to joining IIM Bangalore, Dr Dinesh Kumar has worked at several reputed Institutes across the world including Stevens Institute of Technology, USA; University of Exeter, UK; University of Toronto, Canada; Federal Institute of Technology (ETH), Zurich, Switzerland; Queensland University of Technology, Australia; Australian National University, Australia and the Indian Institute of Management Calcutta.
Recognised as one of the Top 10 Most Prominent Analytic Academicians in India, his main research and teaching interests are Business Analytics and Artificial Intelligence, and he has published 38 case studies at the Harvard Business Publishing on data science and machine learning, Nine of his case studies are best-sellers at the Harvard Business Publishing case portal. He has authored more than 70 research articles, and two books. His books, Business Analytics – The Science of Data-Driven Decision-Making and Machine Learning using Python are Amazon India best-sellers.
Dr Dinesh Kumar has conducted training program on Analytics for several companies such as Accenture, Aditya Birla Group, Ashok Leyland, Asian Paints, Bank of America, Blue Ocean Market Intelligence, Cisco, Fidelity, Hindustan Aeronautics Limited, Honeywell, Infosys, ITC Info Tech, Madya Pradesh Agency for Promotion of Information Technology (MAPIT), National Academy for Defence Production, Ocwen financial Services, SONY and so on. Dr Dinesh Kumar conducts corporate training programme in Analytics and trained more than 1000 professionals in the field of analytics.
Manaranjan Pradhan, an IIM Bangalore alumnus, has 20-plus years of industry experience working on Big Data & Machine Learning. He has worked with TCS, HP, and iGATE and worked on large scale project implementations for customers like Motorola, Home Depot, CKWB Bank and P&G in the roles of solution and technical architect. He is a freelancer who provides consulting and training on Big data and Data Science including Machine Learning. He has been teaching Big Data and Machine Learning for more than seven years and has trained more than 1,000 people from several large MNCs including EMC, CISCO, TESCO, HP, YODLEE, Goldman Sachs, Software AG, Amadeus, Cognizant, Cap Gemini and Accenture. He has co-authored the best-selling book Machine Learning using Python.
He has published a case on Harvard Business Publishing:
A: Customer Analytics at Big Basket – Product Recommendations
B. Improving Lead Generation at Eureka Forbes Using Machine Learning Algorithms.