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UCSanDiegoX: Machine Learning Fundamentals

4.2 stars
10 ratings

Understand machine learning's role in data-driven modeling, prediction, and decision-making.

Machine Learning Fundamentals
10 weeks
8–10 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

There is one session available:

97,645 already enrolled! After a course session ends, it will be archivedOpens in a new tab.
Starts Mar 28
Ends Jul 12

About this course

Skip About this course

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.

At a glance

  • Language: English
  • Video Transcript: English
  • Associated programs:
  • Associated skills:Forecasting, Jupyter, Python (Programming Language), Unsupervised Learning, Data Science, Machine Learning, Algorithms, Predictive Modeling

What you'll learn

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  • Classification, regression, and conditional probability estimation
  • Generative and discriminative models
  • Linear models and extensions to nonlinearity using kernel methods
  • Ensemble methods: boosting, bagging, random forests
  • Representation learning: clustering, dimensionality reduction, autoencoders, deep nets

Who can take this course?

Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.

This course is part of Data Science MicroMasters Program

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Expert instruction
4 graduate-level courses
10 months
9 - 11 hours per week

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