Machine Learning Using Python | By Pradhan Manaranjan & U Dinesh Kumar | Revised Edition | Wiley Publication ( English Medium ).
This book is written to provide a strong foundation in machine learning using Python libraries by providing real-life case studies and examples. It covers topics such as foundations of machine learning, introduction to Python, descriptive analytics and predictive analytics. Advanced machine learning concepts such as decision tree learning, random forest, boosting, recommended systems, and text analytics are covered. The book takes a balanced approach between theoretical understanding and practical applications. All the topics include real-world examples and provide step-by-step approach on how to explore, build, evaluate, and optimize machine learning models. Machine Learning Using Python" by Manaranjan Pradhan is a comprehensive guide designed to provide a strong foundation in machine learning through the use of Python libraries. The book emphasizes practical understanding by incorporating real-life case studies and examples, making it particularly suitable for beginners and professionals aiming to apply machine learning concepts in real-world scenarios.
Key Features:
Real-Life Case Studies: The book includes twenty-eight case studies based on Indian and multinational organizations such as Aavin Milk Dairy, Apollo Hospitals, Bigbasket, Bollywood, Hewlett and Packard, Larsen & Toubro, Mission Hospital, Hindustan Aeronautics Limited, and the Indian Premier League.
Industry Expertise: Authored by Manaranjan Pradhan, an alumnus of IIM Bangalore with about 20 years of industry experience working on cloud computing, big data, and machine learning projects. He has worked with TCS, HP, and iGATE before becoming a freelance consultant providing consulting and training on big data, machine learning, and deep learning. He has been teaching big data and machine learning for 4 years and has trained more than 1000 persons from several large MNCs including EMC, Cisco, Tesco, HP, Goldman Sachs, Software AG, and Amadeus.
Comprehensive Content: The book covers a wide range of topics in machine learning, providing readers with a thorough understanding of both theoretical concepts and practical applications.
About the Author
U Dinesh Kumar is a Professor of Decision Sciences and Information Systems at IIM Bangalore. Dr Dinesh Kumar has published more than 60 research articles in leading academic journals. Twenty Eight of his case studies on Business Analytics based on Indian and multinational organizations such as Aavin Milk Dairy, Apollo Hospitals, Bigbasket, Bollywood, Hewlett and Packard, Larsen & Toubro, Mission Hospital, Hindustan Aeronautics Limited, Indian Premier League Manaranjan Pradhan, an alumnus of IIM Bangalore, has about 20 years of industry experience working on Cloud computing, Big Data & Machine Learning projects. He worked with TCS, HP, and iGATE before becoming a freelance consultant providing consulting and training on Big data, Machine Learning and Deep Learning. He has been teaching Big Data and Machine Learning for 4 years and has trained more than 1000 persons from several large MNCs including EMC, Cisco, Tesco, HP, Goldman Sachs, Software AG and Amadeus.
Search Key - Machine Learning Using Python book, Manaranjan Pradhan machine learning, Python machine learning guide, Machine learning case studies, Real-life machine learning examples, Machine learning for beginners, Python libraries for machine learning, Big data and machine learning, Cloud computing in machine learning, Deep learning with Python, Machine learning industry applications, Comprehensive machine learning book, Machine learning training material, Machine learning consulting, Machine learning projects, Machine learning tutorials, Python for data science, Applied machine learning, Machine learning professional guide, Machine learning with real-world data, Machine learning textbook, Machine learning practical approach, Machine learning case study examples, Machine learning applications in industry, Python programming for machine learning, Machine learning educational resources, Machine learning course material, Machine learning reference book, Machine learning study guide, Machine learning concepts and applications Publisher : Wiley (1 January 2019), Language : English, Paperback : 240 pages, ISBN-10 : 8126579900, ISBN-13 : 978-8126579907.