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Data Fusion Mathematics: Theory and Practice offers a comprehensive overview of data fusion (DF) and provides a proper and adequate understanding of the basic mathematics directly related to DF.
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Speed up common data science tasks with AI assistants like ChatGPT and Large Language Models (LLMs) from Anthropic, Cohere, AI21, Hugging Face, and more!
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A practical introduction to data engineering on the powerful Snowflake cloud data platform.
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Learn the technical and soft skills you need to succeed in your career as a data analyst.
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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.
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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
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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.
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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
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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.
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Offers a comprehensive guide to learning statistical inference with data science tools widely used in industry, academia, and... Læs mere
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This book is a comprehensive, step-by-step learning guide towards understanding entire value chain of Business Analytics, its inter-related components and hence signifying its role in business decision making in India and globally.