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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.
This thoroughly revised edition presents statistical concepts computationally, rather than mathematically, using programs written in Python. Through practical... Læs mere
Speed up common data science tasks with AI assistants like ChatGPT and Large Language Models (LLMs) from Anthropic, Cohere, AI21, Hugging Face, and more!
Learn the technical and soft skills you need to succeed in your career as a data analyst.
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