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Business runs on tabular data in databases, spreadsheets, and logs. Crunch that data using deep learning, gradient boosting, and other machine learning techniques.
Oriented matroids appear throughout discrete geometry and have applications in algebra, topology, physics, and data analysis. This introductory text is intended for graduate students,... Læs mere
This practical book shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By explaining the fundamental theory... Læs mere
Confidently understand and use AI to recruit and develop a successful workforce to thrive in the future world of work with the third edition of this best-selling practical guide.
Confidently understand and use AI to recruit and develop a successful workforce to thrive in the future world of work with the third edition of this best-selling practical guide.
Human Development and the Data Revolution explores the uses of large-scale data in the contexts of development, in particular, what techniques, data sources,... Læs mere
Offering a thorough exploration of the symbiotic relationship between data engineering and modern marketing strategies, Data Engineering for Data-Driven Marketing uses a strategic lens to delve into methodologies of collecting, transforming, and storing diverse data sources.
This book focuses on different algorithms and models related to AI, big data, and IoT used for various... Læs mere
Offers a comprehensive guide to learning statistical inference with data science tools widely used in industry, academia, and... Læs mere
Offers a comprehensive guide to learning statistical inference with data science tools widely used in industry, academia, and... Læs mere