Recommender systems - Study guides, Class notes & Summaries

How would you create a taxonomy to identify key customer trends in unstructured data? - correct answersThe best way to approach this question is to mention that it is good to check with the business owner and understand their objectives before categorizing the data. Having done this, it is always good to follow an iterative approach by pulling new data samples and improving the model accordingly by validating it for accuracy by soliciting feedback from the stakeholders of the business. This help...

Samenvatting van het vak Machine Learning, gegeven aan de Universiteit van Maastricht. Contains at least the following topics: ai regression (logistic and linear) bayesian networks graphs classification tasks/models clustering decision trees confidence intervals neural nets recommender systems support vector machine instance based learning (nearest neighbour) reinforcement learning

Programing ebook

De twee hoofdstukken die je nodig hebt om het tentamen van CI te leren.

Duidelijke uitwerking van alle hoorcolleges van het vak Marketing Analytics for Big Data. Inclusief uitgelegde voorbeelden.

Summary for the course 0HM270 SuperCrunchers (2019-2020), formally part of the Human-Technology Interaction master program at the University of Technology Eindhoven. The summary covers all the lecture material, including all material covered in the slides (including figures) as well as all of the required readings (i.e. all separate articles provided per topic).

Summary of the theory for Advances in Data Mining for the Computer Science master at Leiden University. Covers tokenization, Recommender Systems (Naive methods, Collaborative filtering, Matrix Factorization), RBM, Similarity Search (shingling, minhashing, LSH) and Pagerank (Markov process, RageRank algorithm) It is missing the part about Support Vector machines, the last bit of minhasing and the part of the DGIM algorithm for data streams and. Parts missing are labeled with a colored marking.

I passed this course with a 7,5. Concise summary including all papers, case studies, lectures and sample exam questions: - Frey & Steiner (2012): Pay as you go - Caves (2003): Contracts between art and commerce - Hirsch: Fads and fashions, the cultural industries (revisited) - Wijnberg & Gemser (2000): Adding value to innovation: impressionism and the transformation of the selection system in visual arts. - Peltoniemi (2014): Cultural industries: product-market characteristics, management chal...