Machine Learning for Decision Sciences with Case Studies in Python
商品資訊
ISBN13：9781032193564
出版社：PBKTYFRL
作者：S. (PSG College of Technology Sumathi Coimbatore Tamil Nadu India); Suresh (KPMG LLP Rajappa Texas); L Ashok (PSG COLLEGE OF TECHNOLOGY Kumar TAMILNADU INDIA.); Surekha (Amrita School of Engineering Pane
出版日：2022/05/26
裝訂／頁數：精裝／400頁
規格：17.8cm*25.4cm (高/寬)
商品簡介
This book provides a detailed description of machine learning algorithms in data analytics, data science life cycle, Python for machine learning, linear regression, logistic regression, and so forth. It addresses the concepts of machine learning in a practical sense providing complete code and implementation for real-world examples in electrical, oil and gas, e-commerce, and hi-tech industries. The focus is on Python programming for machine learning and patterns involved in decision science for handling data.
Features:
- Explains the basic concepts of Python and its role in machine learning.
- Provides comprehensive coverage of feature engineering including real-time case studies.
- Perceives the structural patterns with reference to data science and statistics and analytics.
- Includes machine learning-based structured exercises.
- Appreciates different algorithmic concepts of machine learning including unsupervised, supervised, and reinforcement learning.
This book is aimed at researchers, professionals, and graduate students in data science, machine learning, computer science, and electrical and computer engineering.
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