| 书目名称 | Industrial Machine Learning | | 副标题 | Using Artificial Int | | 编辑 | Andreas François Vermeulen | | 视频video | | | 概述 | Provides the link between theory and practical, real-world machine learning implementations at an industrialized level.Supplies a series of advanced practical examples of the autonomous transformation | | 图书封面 |  | | 描述 | .Understand the industrialization of machine learning (ML) and take the first steps toward identifying and generating the transformational disruptors of artificial intelligence (AI). You will learn to apply ML to data lakes in various industries, supplying data professionals with the advanced skills required to handle the future of data engineering and data science. .Data lakes currently generated by worldwide industrialized business activities are projected to reach 35 zettabytes (ZB) as the Fourth Industrial Revolution produces an exponential increase of volume, velocity, variety, variability, veracity, visualization, and value. Industrialization of ML evolves from AI and studying pattern recognition against the increasingly unstructured resource stored in data lakes.. .Industrial Machine Learning. supplies advanced, yet practical examples in different industries, including finance, public safety, health care, transportation, manufactory,supply chain, 3D printing, education, research, and data science. The book covers: supervised learning, unsupervised learning, reinforcement learning, evolutionary computing principles, soft robotics disruptors, and hard robotics disruptors...Wha | | 出版日期 | Book 2020 | | 关键词 | Machine learning; Big data; Artificial Intelligence; AI; Data lake; Supervised learning; Data science; Unsu | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-5316-8 | | isbn_softcover | 978-1-4842-5315-1 | | isbn_ebook | 978-1-4842-5316-8 | | copyright | Andreas Fran�ois Vermeulen 2020 |
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发表于 2025-3-21 18:41:26
