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The Data Science Handbook - Generate Value from Data with Data Analysis and Machine Learning (Paperback)
Loot Price: R1,573
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The Data Science Handbook - Generate Value from Data with Data Analysis and Machine Learning (Paperback)
Expected to ship within 12 - 17 working days
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Data Science, Big Data, and Artificial Intelligence are currently
some of the most talked-about concepts in industry, government, and
society, and yet also the most misunderstood. This book will
clarify these concepts and provide you with practical knowledge to
apply them. Featuring: - A comprehensive overview of the various
fields of application of data science - Case studies from practice
to make the described concepts tangible - Practical examples to
help you carry out simple data analysis projects The book
approaches the topic of data science from several sides. Crucially,
it will show you how to build data platforms and apply data science
tools and methods. Along the way, it will help you understand - and
explain to various stakeholders - how to generate value from these
techniques, such as applying data science to help organizations
make faster decisions, reduce costs, and open up new markets.
Furthermore, it will bring fundamental concepts related to data
science to life, including statistics, mathematics, and legal
considerations. Finally, the book outlines practical case studies
that illustrate how knowledge generated from data is changing
various industries over the long term. Contains these current
issues: - Mathematics basics: Mathematics for Machine Learning to
help you understand and utilize various ML algorithms. - Machine
Learning: From statistical to neural and from Transformers and
GPT-3 to AutoML, we introduce common frameworks for applying ML in
practice - Natural Language Processing: Tools and techniques for
gaining insights from text data and developing language
technologies - Computer vision: How can we gain insights from
images and videos with data science? - Modeling and Simulation:
Model the behavior of complex systems, such as the spread of
COVID-19, and do a What-If analysis covering different scenarios. -
ML and AI in production: How to turn experimentation into a working
data science product? - Presenting your results: Essential
presentation techniques for data scientists Contributors: Stefan
Papp / Wolfgang Weidinger / Katherine Munro / Bernhard Ortner /
Annalisa Cadonna / Georg Langs / Roxane Licandro / Mario Meir-Huber
/ Danko Nikoli? / Zoltan Toth / Barbora Vesela / Rania Wazir /
Günther Zauner
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