World Business StrategiesServing the Global Financial Community since 2000

Day One

09:00 – 10:00 – Lecture 1: Probability and Statistics

  • Interpretation of probability – classical, frequentist, Bayesian, axiomatic
  • Statistical inference and estimation theory

10:00 – 10:30 – Tutorial 1: Statistical inference and estimation theory

10:30 – 11:00 – Coffee break

11:00 – 12:00 – Lecture 2: Linear regression

  • A geometric perspective
  • Interpreting the linear regression, multicollinearity

12:00 – 12:30 – Tutorial 2: Linear regression

12:30 – 13:30 – Lunch

13:30 – 14:30 – Lecture 3: PCA and dimensionality reduction

  • The geometry of eigenvectors and eigenvalues, covariance and correlation matrixes
  • PCA and dimensionality reduction

14:30 – 15:00 – Tutorial 3: Demo of PCA

15:00 – 15:30 – Coffee break

15:30 – 16:30 – Lecture 4: Unsupervised machine learning

  • Anomaly detection
  • Clustering

16:30 – 17:00 – Tutorial 4: Demo of clustering analysis

  • Discount Structure
  • Super early bird discount
    25% until January 11th 2019

  • Early bird discount
    15% until February 1st 2019

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

  • 70% Academic Discount
    (FULL-TIME Students Only)

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