An Introduction to Data Science With Python - Softcover

Saltz, Jeffrey S.; Stanton, Jeffrey M.

Softcover

ISBN 10: 1071850652 ISBN 13: 9781071850657

Verlag: SAGE Publications, Inc, 2024

Inhaltsangabe

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 touch of humor.

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Über die Autorin bzw. den Autor

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 teams. In order to stay connected to the "real world", Dr. Saltz consults with clients ranging from professional football teams to Fortune 500 organizations. Prior to becoming a professor, Dr. Saltz¿s two decades of industry experience focused on leveraging emerging technologies and data analytics to deliver innovative business solutions. In his last corporate role, at JPMorgan Chase, he reported to the firm¿s Chief Information Officer and drove technology innovation across the organization. Jeff also held several other key technology management positions at the company, including CTO and Chief Information Architect. He also served as Chief Technology Officer and Principal Investor at Goldman Sachs, where he helped incubate technology start-ups. He started his career as a programmer, project leader and consulting engineer with Digital Equipment Corp. Dr. Saltz holds a B.S. degree in computer science from Cornell University, an M.B.A. from The Wharton School at the University of Pennsylvania, and a PhD in Information Systems from the New Jersey Institute of Technology.

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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.

Details zur Ausgabe

• Verlag: SAGE Publications, Inc
• Erscheinungsdatum: 2024
• Sprache: Englisch
• ISBN 10: 1071850652
• ISBN 13: 9781071850657
• Einband: Taschenbuch
• Auflage: 1
• Anzahl der Seiten: 312
• Kontakt zum Hersteller: Sage Publications; https://knockknockstuff.com/; ; 22 Liuleburgaz Str., floor 4, app. 9; Plovdiv; 4000; Bulgarien