Enterprise data science teams need collaborative access to business data, tools, and computing resources required to develop and deploy machine learning workflows. Cloudera Machine Learning (CML), part of the Cloudera Data Platform (CDP), provides the solution, giving data science teams the required resources. This four-day course covers machine learning workflows and operations using CML. Participants explore, visualize, and analyze data. You will also train, evaluate, and deploy machine learning models. The course walks through an end-to-end data science and machine learning workflow based on realistic scenarios and datasets from a fictitious technology company. The demonstrations and exercises are conducted in Python (with PySpark) using CML.
What Skills You Will Gain Through lecture and hands-on exercises, you will learn how to:
• Utilize Cloudera SDX and other components of the Cloudera Data Platform to locate data for machine learning experiments
• Use an Applied ML Prototype (AMP)
• Manage machine learning experiments
• Connect to various data sources and explore data
• Utilize Apache Spark and Spark ML
• Deploy an ML model as a REST API
• Manage and monitor deployed ML models
Download DSCI-272: Predicting with Cloudera Machine Learning 240402
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Upon completion of the 4-day training course, you will receive a Training Certificate of Completion.
