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
”En el mundo moderno cualquier empresa u organización requiere ser competitiva para mantenerse activa en un mercado cambiante, la toma de decisiones oportunas es fundamental para el éxito de las... more
Along with bigger and faster Cloud Computing power, comes the necessity of network security and management. This course focuses on the fundamental elements that every network requires: privacy,... more
I sistemi di database sono diventati fondamentali nei sistemi di gestione delle informazioni, contribuendo allo sviluppo di una società sempre più basata sulla conoscenza. Tutte le moderne a... more
Students will build on the skills learned from “Introduction to Object-Oriented Programming with Java I: Foundations and Syntax Basics” and learn the basics of writing classes that serve as blu... more
Welcome to this Spark AR Studio advanced course. In this course, you will build on your advanced skills and techniques to continue with your very own Spark AR journey! The goal of this course is to... more
Powered by
