Machine Learning

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Machine Learning Courses/Courselets

course
  • 1
  • 11 Students
  • All Levels

Short introduction to Reinforcement Learning, mostly Q-learning

  • Free
  • 0 Rating
  • 0 Reviews

course
  • 2
  • 13 Students
  • All Levels

This course deals with the intersection of causal inference, especially heterogeneity, and Machine Learning. We will see wh..

  • Free
  • 0 Rating
  • 0 Reviews

course
  • 3
  • 21 Students
  • All Levels

We will mainly focus on Latent Dirichlet Allocation (LDA) and its extensions.

  • Free
  • 5 Rating
  • 1 Reviews

course
  • 2
  • 10 Students
  • All Levels

Latent Dirichlet Allocation (LDA) extensions

  • Free
  • 5 Rating
  • 1 Reviews

course
  • 2
  • 17 Students
  • All Levels

Introduction of Kalman filter including the background, calculation methodology and application.

  • Free
  • 4.7 Rating
  • 2 Reviews

course
  • 2
  • 2 Students
  • All Levels

Presentation of the research paper "Assessing the Quality of Human-Generated Summaries with Weakly Supervised Learning"

  • Free
  • 4.7 Rating
  • 1 Reviews

course
  • 2
  • 9 Students
  • All Levels

A systemic risk management tool

  • Free
  • 5 Rating
  • 2 Reviews

course
  • 2
  • 10 Students
  • All Levels

The Shapley Decomposition is a model-agnostic tool which is able give a variable importance measure on a local level.

  • Free
  • 0 Rating
  • 0 Reviews

course
  • 2
  • 8 Students
  • All Levels

Financial risk measure FRM (Financial Risk Meter) is proposed for Emerging markets (FRM@EM).

  • Free
  • 0 Rating
  • 0 Reviews

course
  • 2
  • 7 Students
  • All Levels

K-expectile clustering

  • Free
  • 0 Rating
  • 0 Reviews

course
  • 2
  • 18 Students
  • All Levels

After a general introduction on neural networks, we explain different recurrent neural networks architectures such as GRU an..

  • Free
  • 0 Rating
  • 1 Reviews

course
  • 1
  • 5 Students
  • All Levels

Possible Approximately Correct Learning

  • Free
  • 0 Rating
  • 0 Reviews

course
  • 2
  • 7 Students
  • All Levels

Introduction to Generative Adversarial Networks (GAN) with basic applications

  • Free
  • 5 Rating
  • 1 Reviews

course
  • 7
  • 17 Students
  • All Levels

This course includes the work of Kainat Khowaja and her PhD supervisor towards exploring the random forests, and all the rele..

  • Free
  • 0 Rating
  • 0 Reviews

course
  • 2
  • 5 Students
  • All Levels

The proposed hybrid EEMD k-factor GARMA-LLWNN based neuro-fuzzy model is simultaneously use the strengths of each model compo..

  • Free
  • 0 Rating
  • 0 Reviews

course
  • 2
  • 0 Students
  • All Levels

Features for valuation of real estate are not equally distributed spatially Amenities which contribute to high prices in Neu..

  • 0 Rating
  • 0 Reviews

course
  • 2
  • 4 Students
  • All Levels

Master thesis presentation

  • Free
  • 0 Rating
  • 0 Reviews

course
  • 2
  • 7 Students
  • All Levels

Introduction to Boosting Algorithms

  • 3
  • 0 Rating
  • 0 Reviews

course
  • 2
  • 0 Students
  • All Levels

Presentation for the paper "Does non-linear factorisation of financial returns help build better and stabler portfolio?"

  • 5 Rating
  • 1 Reviews