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13 entries#reading-list ×
2025
2018
6.886 Graph Analytics Spring 2018
people.csail.mit.edu
Graph analytics have applications in a variety of domains, such as social network and Web analysis, computational biology, machine learning, and computer networking. This course will cover research topics in graph analytics including algorithms, optimizations, frameworks, and applications. Students will learn about both the theory and practice of designing efficient graph algorithms (parallel, cache-efficient, external-memory, etc.). We will also study design choices in high-level graph processing frameworks.
Graph analytics have applications in a variety of domains, such as social network and Web analysis, computational biology, machine learning, and computer networking. This course will cover research topics in graph analytics including algorithms, optimizations, frameworks, and applications. Students will learn about both the theory and practice of designing efficient graph algorithms (parallel, cache-efficient, external-memory, etc.). We will also study design choices in high-level graph processing frameworks.
2014
2013
Assorted distributed databases readings by Peter Bailis • myNoSQL
nosql.mypopescu.com
Assorted distributed databases readings by Peter Bailis #distributedsystems
Assorted distributed databases readings by Peter Bailis #distributedsystems
Papers that have influenced the design of Akka
docs.google.com
2012
9 Great Statistics papers published after 1970 - Rob Tibshirani
normaldeviate.wordpress.com
2011
Advanced Computer Science Courses : Paper Trail
the-paper-trail.org
a list of courses online
a list of courses online
2009
Alan Kay's reading list
squeakland.org
2008
2007
CS294: Reading the Classics
cs.berkeley.edu
classics in computer science
classics in computer science