World Business StrategiesServing the Global Financial Community since 2000
Time Day 1 Day 2
08:30 – 09:00 Registration and welcome, a tour of Level39 Registration and welcome
09:00 – 10:00 Lecture 1: Foundations of kdb+ and the q programming language Lecture 1: Introduction to Data science and machine learning crash course
10:00 – 10:30 Tutorial 1 Tutorial 1
10:30 – 11:00 Coffee break Coffee break
11:00 – 12:00 Lecture 2: Working with tables and q-sql Lecture 2: Tree-based regression and classification, random forests
12:00 – 12:30 Tutorial 2 Tutorial 2
12:30 – 13:30 Lunch Lunch
13:30 – 14:30 Lecture 3: Big data in kdb+/q Lecture 3: Neural networks in kdb+/q
14:30 – 15:00 Tutorial 3 Tutorial 3
15:00 – 15:30 Coffee break Coffee break
15:30 – 16:30 Lecture 4: Tickerplant architecture for data captures Lecture 4: Applications of machine learning in kdb+/q; Google DeepMind and Monte Carlo search
16:30 – 17:00 Tutorial 4 Tutorial 4
17:00 – 18:00 Lab Lab
  • Discount Structure
  • Super early bird discount
    25% until February 1st 2019

  • Early bird discount
    10% until February 22nd 2019

  • Special Offer
    When two colleagues attend the 3rd goes free!

  • 50% Academic Discount
    (FULL-TIME Students Only)

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