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Spark for Machine Learning & AI

Advance Your AI and Machine Learning Skills,

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.

Contents:

  • Introduction
  • 1. Introduction to Spark and MLlib
  • 2. Data Preparation and Transformation
  • 3. Clustering
  • 4. Classification
  • 5. Regression
  • 6. Recommendations
  • Conclusion

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Length 1h 51m
Starts On Demand (Start anytime)
Cost $29/month (Access to entire library- free trial available)
From LinkedIn Learning
Instructor Dan Sullivan
Download Videos Only via the LinkedIn Learning mobile app
Language English
Subjects Programming Data Science IT & Networking
Tags Machine Learning IT Big Data Apache Spark

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Rating Not enough ratings
Length 1h 51m
Starts On Demand (Start anytime)
Cost $29/month (Access to entire library- free trial available)
From LinkedIn Learning
Instructor Dan Sullivan
Download Videos Only via the LinkedIn Learning mobile app
Language English
Subjects Programming Data Science IT & Networking
Tags Machine Learning IT Big Data Apache Spark

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