Want to make sense of the volumes of data you have collected? Need to incorporate data-driven decisions into your process? This course provides an overview of machine learning techniques to explore, analyze, and leverage data. You will be introduced to tools and algorithms you can use to create machine learning models that learn from data, and to scale those models up to big data problems.



Machine Learning With Big Data
This course is part of Big Data Specialization


Instructors: Mai Nguyen
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There are 7 modules in this course
What's included
2 videos2 discussion prompts
What's included
7 videos6 readings1 assignment1 discussion prompt
What's included
6 videos4 readings2 assignments1 discussion prompt
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8 videos3 readings2 assignments2 discussion prompts
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8 videos5 readings2 assignments1 discussion prompt
What's included
7 videos6 readings2 assignments1 discussion prompt
What's included
8 videos5 readings2 assignments2 discussion prompts
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Reviewed on Sep 6, 2017
Hands n exercises and corresponding quizzes are great !Content could be more detailed, but may be I felt it so given my past exposure to ML. I enjoyed learning Knime and Spark.
Reviewed on May 4, 2020
Great Learning from this course surely one have to take this course for the clarification of conceptual as well as practical implementation of Machine Learning
Reviewed on Dec 26, 2019
The fact that the assignments are graded means that there’s incentive to work on them, solve problems, and ask questions. Traditional online courses don’t offer that incentive.
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