Welcome

Lecture 0

January 15th, 2020

Data Science: Techniques and Applications (DSTA)

Designed by DCIS for the benefit of MSc Data Science students

Contents carefully dovetail with existing DS modules

Last edition not relevant vis-a-vis a new organization of MSc Data Science

we are in it together

(may containt Linear Algebra, at pharma levels)

(may contain traces of Graph Theory)

(may contain traces of Algorithmics and Information Theory).

Overfitting to MSc DS may make this module less appealing to MSc ACT students than the title suggests

Machine Learning topics are selected so as not to overlap the essential Machine Learning module

The table of contents is varied and possibly syncretic.

This is a terminal module in charge of synthetising a large, fast-moving area.

so, expect a more seminarial (than textbook) approach.

PhD on simplification of programming languages

Specify decision processes with rules that are declarative, i.e., abstract from the control flow of the program

Machine-processable knowledge representation as a form of Artificial Intelligence. Example: spam email classification

please refer to the private repository for all contents:

Please check your email and MyBirkbeck calendar for time/place amendments.

Due to past abuses no AV recording is permitted. Thank you for understanding.

Due to size no auditors nor resit students are allowed.

Welcome Lecture 0 January 15th, 2020