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Barcelona Data Science Summer School

Barcelona Data Science Summer School

Barcelona Graduate School of Economics

Curso presencial

Barcelona


Precio a consultar

The main aim of the Data Science Summer School is to introduce participants to some of the tools and methods of Data Science.

The course will provide:

- A hands-on training on data warehousing, computing and computational machine learning.

- A good introduction to Machine Learning for Recommender Systems

- An introduction to some modern topics in Machine Learning, e.g Deep Learning.

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Localización

Fecha inicio

Barcelona
Julio 2016

Temario completo de este curso

The Data Science toolbox (8 hours)
This will be a hands-on session where a range of tools commonly used in Data Science will be introduced.
  1. Introduction to Python for Machine Learning & tools for Data, Pandas, scikit-learn, numpy through case studies
  2. Basic SQL (interfaces to R, Python, data extraction etc.)
  3. Introduction to R for Machine Learning and packages such as dplyr, tidyr, reshape2, ggplot2, through case studies
Introduction to Machine Learning for Recommender Systems (6 hours)
  1. Memory based collaborative filtering
  2. Model-based collaborative Filtering, Matrix Factorization, Restricted Boltzmann Machines
  3. Context-aware collaborative Filtering, Tensor Factorization, Factorization Machines
  4. Learning to Rank for Collaborative Filtering
  5. Diversification
  6. Content-based recommendations
Advanced Data Science and Machine Learning Topics (6 hours)
  1. Unsupervised Learning, k-means clustering, spectral methods, hierarchical clustering
  2. Gradient Boosted Models
  3. Deep Neural Networks, from Logistic Regression to Deep Belief Networks
  4. Convolutional Neural Networks
  5. Recurrent Neural Networks
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