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Overview
Do you want to build systems that learn from experience? Or exploit data to create simple predictive models of the world?
In the Machine Learning Fundamentals Certificate, part of the Data Science MicroMasters Program from EdX in partnership with University of California, San Diego - UC San DiegoX, you will learn a variety of supervised and unsupervised learning algorithms, and the theory behind those algorithms.
This course is part of a MicroMasters® Program
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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Visit university websiteProgramme Structure
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
Check out the full curriculum
Visit university websiteKey information
Duration
- Part-time
- 70 days
- 8 hrs/week
Start dates & application deadlines
We did our best, but couldn't find the next application deadline and start date information online.
Language
English
Delivered
Online
- Self-paced
Disciplines
Information Technology (IT) Data Science & Big Data Machine Learning View 321 other Short Courses in Information Technology (IT) in United StatesExplore more key information
Visit university websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Prerequisites
- The previous courses in the MicroMasters program: Python for Data Science and Probability and Statistics in Data Science using Python
- Multivariate calculus
- Linear algebra
Make sure you meet all requirements
Visit university websiteTuition Fee
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International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 70 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 70 days.
- Unlimited access to self-paced, in-demand courses and professional certificates
- Starting at $349 per learner/year.
Funding
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