In their new book, experienced instructors and researchers Jeffrey S. Saltz and Jeffrey M. Stanton guide readers new to Python and data science through the tools and techniques used to analyze data and generate predictive models. An Introduction to Data Science with Python starts with the basics, includes practice questions to check understanding, and delves into advanced topics like neural networks and deep learning, all with clarity and a...
Jeffrey S. Saltz is an Associate Professor at Syracuse University in the School of Information Studies and Director of the school′s Master′s of Science program in Applied Data Science. His research and teaching focus on helping organizations leverage information technology and data for competitive advantage. Specifically, his current research focuses on the socio-technical aspects of data science projects, such as how to coordinate and manage data science...
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Paperback. Condition: new. Paperback. For those new to Python and data science, this text guides readers through the tools and techniques used to analyze data and generate predictive models. This book starts with the basics, includes practice questions to check understanding, and delves into advanced topics like neural networks and deep learning, all with clarity and a touch of humor. For those new to Python and data science, this text guides readers through the tools and techniques used to analyze data and generate predictive models. This book starts with the basics, includes practice questions to check understanding, and delves into advanced topics like neural networks and deep learning, all with clarity and a touch of humor. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781071850657
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