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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.
Key Facts
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.Programme 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
Key information
Duration
- Part-time
- 70 days
- 8 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Campus Location
- Portland, United States
Disciplines
Machine Learning View 213 other Short Courses in Machine Learning in United StatesWhat students do after studying
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Academic 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
- Extensive prior experience required
- To obtain additional information about the programme, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents350 USD / full≈ 350 USD / full - Out-of-State350 USD / full≈ 350 USD / full
Additional Details
- Unlimited access + verified certificate: $350
- Limited access: free
Funding
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