Mining Massive Datasets
About this Course
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.Created by: Stanford University
Level: Advanced
Related Online Courses
Deep learning es un área de reciente creación con una enorme popularidad. Deep learning busca el aprendizaje a partir de grandes volúmenes de datos y con ayuda de redes neuronales de gran ta... more
Is my program correct? Will it give the right output for all possible permitted inputs? Computers are now essential in everyday life. Incorrect programs lead to frustration in the best case and... more
The rapid evolution of computers has brought technical devices as an active weapon to criminals. Cybercriminals have enjoyed the pleasure of being able to combine a large array of complex... more
This new intermediate-level course from Amazon Web Services (AWS) is designed to help you to assess your preparedness for the AWS Certified Solutions Architect - Associate exam. You will learn how... more
Code and run your first Python program in minutes without installing anything! **** This course is designed for learners with limited coding experience, providing a solid foundation of not just... more
Powered by
