Videos, slides and tutorials fopm Stanford university course
CS224d: Deep Learning for Natural Language Processing can be found here: http://cs224d.stanford.edu/syllabus.html.
Showing posts with label e-learning. Show all posts
Showing posts with label e-learning. Show all posts
Tuesday, April 7, 2015
Thursday, April 2, 2015
Spark for Data Science
In June you can learn with EdX "how to apply data science techniques using parallel programming in Apache Spark to explore big (and small) data". It will be "Introduction to Big Data with Apache Spark" course from Berkeley.
Wednesday, November 5, 2014
Coursera: Mining Massive Datasets
Extremely useful course for data scientist - Mining Massive Datasets by by Jure Leskovec, Anand Rajaraman and Jeff Ullman.
MapReduce
Link Analysis -- PageRank
Week 2:
Locality-Sensitive Hashing -- Basics + Applications
Distance Measures
Nearest Neighbors
Frequent Itemsets
Week 3:
Data Stream Mining
Analysis of Large Graphs
Week 4:
Recommender Systems
Dimensionality Reduction
Week 5:
Clustering
Computational Advertising
Week 6:
Support-Vector Machines
Decision Trees
MapReduce Algorithms
Week 7:
More About Link Analysis -- Topic-specific PageRank, Link Spam.
More About Locality-Sensitive Hashing
In addition, you can buy or download for free Mining Massive Datasets book from Mining Massive Datasets web-page .
Course Syllabus
Week 1:MapReduce
Link Analysis -- PageRank
Week 2:
Locality-Sensitive Hashing -- Basics + Applications
Distance Measures
Nearest Neighbors
Frequent Itemsets
Week 3:
Data Stream Mining
Analysis of Large Graphs
Week 4:
Recommender Systems
Dimensionality Reduction
Week 5:
Clustering
Computational Advertising
Week 6:
Support-Vector Machines
Decision Trees
MapReduce Algorithms
Week 7:
More About Link Analysis -- Topic-specific PageRank, Link Spam.
More About Locality-Sensitive Hashing
In addition, you can buy or download for free Mining Massive Datasets book from Mining Massive Datasets web-page .
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