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Data Analytics Applications

Data Analytics in Marketing, Entrepreneurship, and Innovation

Data Analytics in Marketing, Entrepreneurship, and Innovation

Data Analytics Applications

Data Analytics in Marketing, Entrepreneurship, and Innovation

Data Analytics Applications: Data Analytics in Marketing, Entrepreneurship, and Innovation

 

Focusing on important aspects of analytics that facilitate innovation, promote entrepreneurship, and improve marketing efficiency and effectiveness, this book provides researchers and business practitioners insight on the techniques, tools, models, and cases of data analytics in the broad areas of innovation, entrepreneurship, and marketing.

Levertijd: 5 tot 8 werkdagen

€ 126,00

Levertijd: 5 tot 8 werkdagen

Beschrijving Data Analytics Applications: Data Analytics in Marketing, Entrepreneurship, and Innovation

Focusing on important aspects of analytics that facilitate innovation, promote entrepreneurship, and improve marketing efficiency and effectiveness, this book provides researchers and business practitioners insight on the techniques, tools, models, and cases of data analytics in the broad areas of innovation, entrepreneurship, and marketing.

ISBN
9780367184834
Pagina's
182
Verschenen
Serie
Data Analytics Applications
Rubriek
Databases
Druk
1
Uitvoering
Hardback
Taal
Engels
Uitgever
Taylor & Francis Ltd

AI for Time Series

This book provides a thorough exploration of the latest innovations in AI for general time series analysis, distribution shift and foundation models. It offers an in-depth look at cutting-edge techniques and methodologies, using advance algorithms that are transforming time series analysis across industries.

AI for Time Series

This book provides a thorough exploration of the latest innovations in AI for general time series analysis, distribution shift and foundation models. It offers an in-depth look at cutting-edge techniques and methodologies, using advance algorithms that are transforming time series analysis across industries.

A Mathematical Introduction to Data Science with Python

This textbook serves as a companion to "A Mathematical Introduction to Data Science". It uses Python programming to provide a comprehensive foundation in the mathematics needed for data science. It is designed for anyone with a basic mathematical background, including students and self-learners interested in understanding the principles behind the computational algorithms used in data science.

Databases

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