FUNDAMENTALS OF MACHINE LEARNING FOR PREDICTIVE DATA ANALYTICS
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Pay NowPublished Date: 2024-08-25
Author Name: ARYYAMA KUMAR JANA
Fundamentals of Machine Learning for Predictive Data Analytics" offers a comprehensive introduction to key machine learning approaches utilized in predictive analytics, blending theoretical concepts with practical applications. The book systematically guides readers from data exploration to decision-making, covering essential methodologies such as information-based, similarity-based, probability-based, and error-based learning. Each approach is introduced with non-technical explanations followed by mathematical models and algorithms, supplemented with worked examples and case studies that illustrate real-world applications in areas like price prediction, risk assessment, and customer behavior analysis. The authors emphasize the importance of understanding the underlying mechanics of algorithms without relying solely on programming languages, making this text suitable for undergraduates and professionals alike. With its clear narrative and structured content, the book serves as a valuable resource for anyone looking to grasp the fundamentals of machine learning in the context of predictive data analytics.