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Overview*Machine Learning Basics: Building Intelligent Systems* is a foundational guide to understanding the principles and practices of machine learning. It covers core concepts such as supervised and unsupervised learning, data preprocessing, model selection, and evaluation. The book emphasizes practical applications, offering step-by-step explanations for implementing algorithms like decision trees, neural networks, and clustering methods. With a focus on problem-solving, it bridges theoretical knowledge and real-world use cases, making it an accessible resource for beginners and a solid refresher for experienced practitioners. Full Product DetailsAuthor: Nandini K , Mary Stella JPublisher: LAP Lambert Academic Publishing Imprint: LAP Lambert Academic Publishing Dimensions: Width: 15.20cm , Height: 0.90cm , Length: 22.90cm Weight: 0.200kg ISBN: 9786208426897ISBN 10: 6208426898 Pages: 144 Publication Date: 12 February 2025 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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