Introduction to Formal Concept Analysis
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This online course is an introduction into formal concept analysis (FCA), a mathematical theory oriented at applications in knowledge representation, knowledge acquisition, data analysis and visualization. It provides tools for understanding the data by representing it as a hierarchy of concepts or, more exactly, a concept lattice. FCA can help in processing a wide class of data types providing a framework in which various data analysis and knowledge acquisition techniques can be formulated. In this course, we focus on some of these techniques, as well as cover the theoretical foundations and algorithmic issues of FCA. Upon completion of the course, the students will be able to use the mathematical techniques and computational tools of formal concept analysis in their own research projects involving data processing. Among other things, the students will learn about FCA-based approaches to clustering and dependency mining. The course is self-contained, although basic knowledge of elementary set theory, propositional logic, and probability theory would help. End-of-the-week quizzes include easy questions aimed at checking basic understanding of the topic, as well as more advanced problems that may require some effort to be solved. Do you have technical problems? Write to us: [email protected].
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| Rating | 4.8★ based on 12 ratings |
|---|---|
| Length | 7 weeks |
| Effort | 6 weeks, 4-6 hours per week |
| Starts | Jan 24 (117 weeks ago) |
| Cost | $49 |
| From | Higher School of Economics, National Research University Higher School of Economics, HSE University via Coursera |
| Instructor | Sergei Obiedkov |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Data Science Mathematics |
| Tags | Computer Science Data Science Data Analysis Algorithms Math And Logic |
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What people are saying
excelente contenido y explicaciones
Excelente contenido y explicaciones.
dar la introducción sobre
Muy completo al momento de dar la introducción sobre Análisis Formal de Conceptos Great course spending a reasonable amount of time on fundamentals and steadily advancing to more complex applications.
yet maintained an intuitive
i am a mathematician and the course fulfilled my need for rigour and yet maintained an intuitive perspective.
не хватало презентационного материала
полезный и очень интересный
Но в целом курс полезный и очень интересный!
al momento de dar
instructor did provide examples
While the instructor did provide examples in each lecture, these were often much easier than the quiz questions.
instructors book helped
Instructors book helped a lot.
restricted boltzmann machines
It will not give you a lot of mathematical detail about the techniques it reviews (although it certainly does that for Restricted Boltzmann Machines) but the scope and perspective of Hinton's on the field is unique.
analyzing binary data
Only area that felt lacking was a comparison of FCA techniques to other methods for analyzing binary data (i.e.
last probability excercise
The last probability excercise was tough, but worth it.Go ahead!!
may call him
Sergei (if I may call him by his name) is a great teacher and I am looking forward to attending a more advanced course (possibly on scaling) and reading his scientific papers.
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Formal Training Requirements Coordinator $56k
R & D (Product & Concept) $67k
Concept Designer Consultant $71k
Formal Schools Instructor Trainer $80k
Acquistions / Concept Engineer $80k
Concept / 2D Artist $83k
Advanced Concept Engineer $94k
Concept Artist/Illustrator $108k
Animator and concept designer $116k
Concept/Storyboard Artist $119k
Web Marketing Concept Manager $133k
Senior Concept Artist/Illustrator $142k
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| Rating | 4.8★ based on 12 ratings |
|---|---|
| Length | 7 weeks |
| Effort | 6 weeks, 4-6 hours per week |
| Starts | Jan 24 (117 weeks ago) |
| Cost | $49 |
| From | Higher School of Economics, National Research University Higher School of Economics, HSE University via Coursera |
| Instructor | Sergei Obiedkov |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Data Science Mathematics |
| Tags | Computer Science Data Science Data Analysis Algorithms Math And Logic |
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