Machine Learning

Notes on

  • Blog / Papers
  • 0

Basic Understanding of Quantitative Modelling

by Vadim Victor · March 15, 2013

The main goal is to show how a quantitative model could be recognized among daily routines. The model is a mathematical representation of our knowledge about some investigated phenomenon. See the presentation.

Vadim Victor

Vadim V. Strijov, Prof. Moscow Institute of Physics and Technology

  • Next story Model Selection Algorithms in Forecasting
  • Previous story Data Mining in Business Analytics

You may also like...

  • Mark up time series, demo

    Mark up time series, demo

    6 Mar, 2010

  • Ratings and Indices: Modeling, Estimation, Computation

    Ratings and Indices: Modeling, Estimation, Computation

    6 Mar, 2010

  • Presentations

    Presentations

    12 May, 2010

Follow:

Categories

  • About (3)
  • Blog (9)
  • Code (3)
  • Papers (5)

Tags

Applied math projects Calculate Ratings and Indicators Computation course data mining Downoad Electronics projects Estimation Examples Index construction: expert-statistical technique Inductive Model Generation and Multimodel Selection Least angle regression Linear model generation Mark up time series Matlab codes Multivariate Regression Composer MVR MVR Composer MVR Composer readme nductive generation for the volatility regression models PAPERS Presentations publications Ratings and Indices: Modeling Regression analysis Vadim Strijov

Notes on Machine Learning and Data Analysis © 2035