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StanfordOnline: Mining Massive Datasets

The course is based on the text Mining of Massive Datasets by Jure Leskovec, Anand Rajaraman, and Jeff Ullman, who by coincidence are also the instructors for the course.

Mining Massive Datasets
7 semanas
5–10 horas por semana
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Sobre este curso

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The course is based on the text Mining of Massive Datasets by Jure Leskovec, Anand Rajaraman, and Jeff Ullman, who by coincidence are also the instructors for the course.

The book is published by Cambridge Univ. Press, but by arrangement with the publisher, you can download a free copy Here. The material in this on-line course closely matches the content of the Stanford course CS246.

The major topics covered include: MapReduce systems and algorithms, Locality-sensitive hashing, Algorithms for data streams, PageRank and Web-link analysis, Frequent itemset analysis, Clustering, Computational advertising, Recommendation systems, Social-network graphs, Dimensionality reduction, and Machine-learning algorithms.

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  • Institution StanfordOnline
  • Subject Informática
  • Level Advanced
  • Prerequisites

    The course is intended for graduate students and advanced undergraduates in Computer Science. At a minimum, you should have had courses in Data structures, Algorithms, Database systems, Linear algebra, Multivariable calculus, and Statistics.

  • Language English
  • Video Transcript English
  • Associated skillsText Mining, MapReduce, Dimensionality Reduction, Algorithms, PageRank, Link Analysis, Machine Learning

Lo que aprenderás

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  • MapReduce systems and algorithms
  • Locality-sensitive hashing
  • Algorithms for data streams
  • PageRank and Web-link analysis
  • Frequent itemset analysis
  • Clustering
  • Computational advertising
  • Recommendation systems
  • Social-network graphs
  • Dimensionality reduction
  • Machine-learning algorithms

Preguntas frecuentes

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How much work is expected?

The amount of work will vary, depending on your background and the ease with which you follow mathematical and algorithmic ideas. However, 10 hours per week is a good guess.

¿Quién puede hacer este curso?

Lamentablemente, las personas residentes en uno o más de los siguientes países o regiones no podrán registrarse para este curso: Irán, Cuba y la región de Crimea en Ucrania. Si bien edX consiguió licencias de la Oficina de Control de Activos Extranjeros de los EE. UU. (U.S. Office of Foreign Assets Control, OFAC) para ofrecer nuestros cursos a personas en estos países y regiones, las licencias que hemos recibido no son lo suficientemente amplias como para permitirnos dictar este curso en todas las ubicaciones. edX lamenta profundamente que las sanciones estadounidenses impidan que ofrezcamos todos nuestros cursos a cualquier persona, sin importar dónde viva.

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