Class Description

The workshop, in collaboration with Microsoft Israel R&D center, will focus on knowledge extraction from machine generated data, using statistical tools and machine learning algorithms. The students will be required to design and implement such systems and present their results in class.

Meeting Schedule

# Date Class Details Lecturer Files
1 29/02/2016 Introduction: Intro to data science, Project Details, Important Dates Yossi Attas (Microsoft) Slides(PDF)
2 07/03/2016 Information Visualization and Descriptive Analytics: Forming dashboards with Ms Excel 360 Dany Hoter (Microsoft)
3 14/03/2016 Hands-On Data Mining (Python): with Numpy, Scipy, Scikit-Learn, Pandas Amit Somech (TAU) Slides(PDF)
4 21/03/2016 Practical Data Science: Showing real life scenarios, utilizing methods learned, examples for potential projects Adi Eldar (Microsoft) Python in Visual Studio
iPython Notebooks
5 04/04/2016 Preliminary Demo: A short preliminary demo presentation (by student teams ) of the outlines of the project (design, tools and techniques, etc.) Adi, Nir (Microsoft)
6 09/05/2016 Status Meeting: Teams will report their current status of the project
7 13/06/2016 Final Project Presentations: Fully functioning project demonstrations
7 22/07/2016 Projects Submission Deadline

Notifications

Date Notification
26/03/2016 ApplicationInsight - Explained :
23/03/2016 Final project guidelines: here (PDF)
22/03/2016 Preliminary demo guidelines:
  • Presentations will be in front of staff only
  • Each session is 10 minutes
  • Should include: The business goal for your project
  • Should include: Defining the data mining/analysis/BI problem
  • Should include: Your thoughts on how to implement
  • Should include: Description (can be vague) of your final presentation
07/03/2016 Application Insight data for the final project can be found here (gzipped compressed): http://www.cs.tau.ac.il/courses/0368-3528-03/appinsight_data/