课程详情
Apache Spark is one of the most widely used and supported open-source tools for machine learning and big data. In this course, discover how to work with this powerful platform for machine learning. Instructor Dan Sullivan discusses MLlib—the Spark machine learning library—which provides tools for data scientists and analysts who would rather find solutions to business problems than code, test, and maintain their own machine learning libraries. He shows how to use DataFrames to organize data structure, and he covers data preparation and the most commonly used types of machine learning algorithms: clustering, classification, regression, and recommendations. By the end of the course, you will have experience loading data into Spark, preprocessing data as needed to apply MLlib algorithms, and applying those algorithms to a variety of machine learning problems.
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Chukwuebuka Ikenga-Metuh
Chukwuebuka Ikenga-Metuh
CEO at IKSectors || Developer - (ReactJS, Solidity, Java, C++, HTML, PHP, CSS, Javascript)
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Chandrashekar Mysore Subbakrishna Dikshit
Chandrashekar Mysore Subbakrishna Dikshit
Creative and innovative Leader in Project & Program management | Scrum and Agile practices | Product development | in information technology| Data…
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- 边学边练 1 个练习文件
- 知识测验 6 个测验
- 随时随地学习 可在平板电脑和手机上访问
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