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Machine Learning Fundamentals

Data Science MicroMasters® Program,

Do you want to build systems that learn from experience? Or exploit data to create simple predictive models of the world?

In this course, part of the Data Science MicroMasters program, you will learn a variety of supervised and unsupervised learning algorithms, and the theory behind those algorithms.

Using real-world case studies, you will learn how to classify images, identify salient topics in a corpus of documents, partition people according to personality profiles, and automatically capture the semantic structure of words and use it to categorize documents.

Armed with the knowledge from this course, you will be able to analyze many different types of data and to build descriptive and predictive models.

All programming examples and assignments will be in Python, using Jupyter notebooks.

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Rating 4.0 based on 2 ratings
Length 10 weeks
Effort 8 - 10 hours per week
Starts Aug 25 (4 weeks ago)
Cost $350
From The University of California San Diego, UC San DiegoX, UCSanDiegoX via edX
Instructor Sanjoy Dasgupta
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science
Tags Computer Science Data Analysis & Statistics

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I think this course is one of most usefull machine learning courses at internet .

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The presence of staff on the Audit mode forum is very scarce, and the forums are divided into Verified/Audit students.

early 2018 run

This is the second course from UCSanDiegoX (early 2018 run) that breaks the enrollment clause stating "Audit this course for free and have complete access to all the course material, activities, tests, and forums".

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code exercises

Teacher is really good , there are enough math and code exercises

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Rating 4.0 based on 2 ratings
Length 10 weeks
Effort 8 - 10 hours per week
Starts Aug 25 (4 weeks ago)
Cost $350
From The University of California San Diego, UC San DiegoX, UCSanDiegoX via edX
Instructor Sanjoy Dasgupta
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science
Tags Computer Science Data Analysis & Statistics

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