• machine learning

  word2vex

  represent word as low dimensional, dense vectors compute the statistics of how ofen some word cooccurs with its neighbor words in a large text corpus. 将数量变成小的dense的vector predictive models directly try to predict a word from its neighbours in terms of learned small, dense embedding

Word2Vec https://web.archive.org/web/20160311161826/http://cs224d.stanford.edu/lecture_notes/LectureNotes1.pdf Parameter Server https://www.cs.cmu.edu/~muli/file/parameter_server_osdi14.pdf Tensorflow http://download.tensorflow.org/paper/whitepaper2015.pdf Distributed Snapshot https://blog.acolyer.org/2015/04/22/distributed-snapshots-determining-global-states-of-distributed-systems/ Word2Vec https://web.archive.org/web/20160311161826/http://cs224d.stanford.edu/lecture_notes/LectureNotes1.pdf Parameter Server https://www.cs.cmu.edu/~muli/file/parameter_server_osdi14.pdf Tensorflow http://download.tensorflow.org/paper/whitepaper2015.pdf Distributed Snapshot https://blog.acolyer.org/2015/04/22/distributed-snapshots-determining-global-states-of-distributed-systems/ Readings in Database systems

Spark Memcached PingCAP, TiDB, TiKV Memory Management, Scheduiling, GC