Machine Learning With Big Data by Coursera

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5

(8)

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Course Features

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Duration

22 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

22 hours

Course Description

Do you want to make sense of all the data? Data-driven business decisions are essential. This course will give an overview of machine learning techniques that can be used for data analysis, discovery, and usage. This course will provide an overview of the algorithms and tools that can be used for creating machine-learning models that learn and scale up to large data problems.

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Software Requirements: Cloudera VM, KNIME, Spark

What You Will Learn

Design an approach to leverage data using the steps in the machine learning process

Apply machine learning techniques to explore and prepare data for modeling

Identify the type of machine learning problem in order to apply the appropriate set of techniques

Construct models that learn from data using widely available open source tools

Analyze big data problems using scalable machine learning algorithms on Spark

Course Instructors

Mai Nguyen

Lead for Data Analytics

Mai H. Nguyen is the Lead for Data Analytics at the San Diego Supercomputer Center (SDSC) of the University of California, San Diego (UCSD). Her research centers on applying machine learning techniqu...

Ilkay Altintas

Chief Data Science Officer

Ilkay Altintas is the Chief Data Science Officer at the San Diego Supercomputer Center (SDSC), UC San Diego, where she is also the Founder and Director for the Workflows for Data Science Center of Ex...

Course Reviews

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