Introduction to Data Science
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Imported Edition - Ships in 18-21 Days
Free Shipping in India on orders above Rs. 500
Introduction to Data Science provides students with a greater understanding of how to extract insights and knowledge from large volumes of data, be it structured or unstructured, and to utilize this data in predictive analytics and decision-making processes. The book covers foundational components of data science, including data collection, cleaning, exploratory analysis, modeling, and interpretation with an emphasis on communication of conclusions to stakeholders.
The book explores various machine learning paradigms, including supervised, unsupervised, and reinforcement learning, detailed through key concepts like classification, regression, clustering, and neural networks. It underscores the necessity for understanding underlying theoretical principles, such as probability, decision theory, and optimization. Furthermore, performance assessment principles for both numerical and categorical target modeling are thoroughly discussed alongside Python code implementations of different algorithms.
Introduction to Data Science is ideal for courses on data science, statistics, and machine learning. The inclusion of practical Python applications makes the book a great fit for programs that emphasize hands-on, practical learning.
Wang, Chung-Ching: - Chung-Ching Wang is a professor in the Department of Statistics and Data Science at the University of Central Florida. He holds a Ph.D. in statistics from Iowa State University, an M.S. in math and computer science from Mankato State University, and a B.S. in management science from National Chiao-Tung University.
Wang, Jay-Yun: - Jay-Yun Wang is a pricing manager at American Integrity Insurance Group. He previously held positions as a data analyst with Clearcover and a manager of product ad marketing analysis at UPC Insurance.
Zhu, Jianbin: - Jianbin Zhu is a senior biostatistician at AdventHealth Central Florida. He holds doctoral degree in big data analytics and engineering mechanics from the University of Central Florida and the University of Nebraska-Lincoln, as well as an M.S. in statistical computing and data mining from the University of Central Florida.
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