Machine Learning and Data Analysis (Strijov's practice)/4th year, fall

(Различия между версиями)

Версия 12:54, 3 сентября 2015

Основная статья: Machine Learning and Data Analysis (Strijov's practice)

Desogning exploatational models

Date		Tasks	Results	Code
September	9	Introduction to the course, motivation, organisational information.
	16	Select a problem and reviewer. Make a brief presentation (45 seconds) of the project.	Sign-up using ML. Report B	Go
	23	Find literature. Find a dataset. Describe it in text and IDEF0 formats.	Reference list. Data description.	Literature
	30	Formulate the problem. Write a mathematical statement in LaTeX format; describe basic algorithm.	Problem statement and basic algorithm.	Algorithm
October	7	Design system architecture and core interfaces.	IDEF0 of the system.	Idef
	21	Add details to the interfaces, write code.	Launchable code for real data.	Code
	28	Create unit-tests for each module. Make a report, justifying the interfaces and IDEF-representations.	Unit tests, Report	Unit
November	4	Collect and preprocess data for testing the system. Complete IDEF0 for data collection. Create and run system tests.	Tests, data, completed IDEF0.	Tests, Data
	11	Optimize the code.	Profiling report.	Profiler
	18	Make a visual report. After the projects are completed, write a review.	Completed technical report, reviews.	Report, Review
	25	Create web-interface and several examples of usage.	Source code is uploaded.	Web
Декабрь	2	Make a presentation, tidy up documentation and code.	Final report	Slides
	9	-	Discussions

Reports are denoted by letters B, M, F.

@@ Строка 96: / Строка 96: @@
 |}
 Reports are denoted by letters B, M, F.
+==Homeworks==