The Handbook of Data Science and AI by Papp, Weidinger (.ePUB)
File Size: 45.1 MB
The Handbook of Data Science and AI: Generate Value from Data with Machine Learning and Data Analytics by Stefan Papp, Wolfgang Weidinger, Katherine Munro, Bernhard Ortner, Annalisa Cadonna, Georg Langs, Roxane Licandro, Mario Meir-Huber
Requirements: .ePUB reader, 45.1 MB | True EPUB
Overview: Data Science, Big Data, and Artificial Intelligence (AI) 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. 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. There had been a dispute over whether R or Python was the primary language for data scientists. While R is popular within special user groups, especially academia, the industry seems to favor Python. As a result, Python may have become the lingua franca in this domain. Moreover, Python engineers have tons of analytical frameworks available to them, such as Keras, PyTorch, Scifi, NumPy, and many more.
Genre: Non-Fiction > Tech & Devices
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