Machine Learning Fundamentals

by edX

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

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img Duration

10 Weeks

Course Details

 

Online Machine Learning Fundamentals Course by edX

 

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.

 

Online Machine Learning Fundamentals Course by edX

 

What you'll learn:

  • 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

 

NOTE:

Add a Verified Certificate for $350 USD

 

Online Machine Learning Fundamentals Course by edX

  • Online Branch

    Online, Online, Online
  • Teacher's Name
  • Sanjoy Dasgupta, lkay Altintas, Leo Porter, Alon Orlitsky, Yoav Freund
  • Teacher's Experience
  • - Sanjoy Dasgupta: Professor of Computer Science and Engineering, UC San Diego - lkay Altintas: Chief Data Science Officer at the San Diego Supercomputer Center, UC San Diego - Leo Porter: Assistant Teaching Professor, Computer Science and Engineering, UC San Diego - Alon Orlitsky: Professor, Electrical and Computer Engineering, UC San Diego - Yoav Freund: Professor of Computer Science and Engineering, UC San Diego
  • Gender
  • N/A
  • Teacher's Nationality
  • N/A

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