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Overview
What you will learn
By participating in the Graph Algorithms and Machine Learning course offered by Massachusetts Institute of Technology (MIT) , you will:
- Learn how to model structured data with graphs
- Enhance your understanding of real-world graph properties and how to generate synthetic graphs
- Master fundamental graph algorithms
- Discuss parallelism and how it can be used to speed up graph processing
- Examine performance characteristics of graph algorithms
- Assess the state-of-the-art graph processing tools available today and learn to use certain graph software
- Explore the pros and cons of different graph processing approaches
- Acquire a new set of tools for improving the effectiveness and performance of machine learning pipelines
Programme Structure
The program focuses on:
- graph analytics
- applications of graphs
- the structure of real-world graphs
- fast graph algorithms
- synthetic graph generation
- performance optimizations
- programming frameworks
- learning on graphs
- software performance engineering concepts
- parallelism, caching, and compression, in the context of graph processing
- different design choices
Key information
Duration
- Part-time
- 4 days
Start dates & application deadlines
- Starting
- Apply before
-
Language
English
Credits
1 alternative credits
Delivered
Online
Campus Location
- Boston, United States
Disciplines
Machine Learning Data Analytics View 254 other Short Courses in Machine Learning in United StatesWhat students do after studying Computer Science & IT
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Total alumni
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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
- Participants should have general knowledge of computer science at an undergraduate level, as well as some programming experience—Python and C++ are preferred.
Technological requirements
- The NetworkX Python package will be used for some demonstrations and exercises, and so your laptop or computer must be compatible with the software.
Tuition Fee
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International
2500 USD/fullTuition FeeBased on the tuition of 2500 USD for the full programme during 4 days. -
National
2500 USD/fullTuition FeeBased on the tuition of 2500 USD for the full programme during 4 days.
Funding
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