EX1 Part I 1. Identify the keys in your tables as follows. For this exercise, ignore the performance considerations while choosing your keys. 1. For each table, indicate the Primary Key(s) (PKs). If there is no PK, state so. Fully justify your answe
Workshop spark-in-practice In this workshop the exercises are focused on using the Spark core and Spark Streaming APIs, and also the dataFrame on data processing. Exercises are available both in Java and Scala on my github account (here in java). Yo
SQUASHFS 1.3r3 - A squashed read-only filesystem for Linux Copyright 2004 Phillip Lougher (phillip@lougher.demon.co.uk) Released under the GPL licence (version 2 or later). Squashfs is currently at version 1.3 release 3. Please see the CHANGES file
SQUASHFS 2.2 - A squashed read-only filesystem for Linux Copyright 2005 Phillip Lougher (phillip@lougher.demon.co.uk) Released under the GPL licence (version 2 or later). Welcome to Squashfs version 2.2-r2. Please see the CHANGES file for details of
深度学习工具包 Deprecation notice. ----- This toolbox is outdated and no longer maintained. There are much better tools available for deep learning than this toolbox, e.g. [Theano](http://deeplearning.net/software/theano/), [torch](http://torch.ch/) or [te
select distinct city from location, (select toareacode,count(status) from call table1 where table1.callstarttime > '1989-10-17 18:00:00' and table1.callstarttime '1989-10-17 18:00:00' and table2.callstarttime < '1989-10-17 19:00:00' group by
Programming Exercise 1: Linear Regression Machine Learning Introduction In this exercise, you will implement linear regression and get to see it work on data. Before starting on this programming exercise, we strongly recom- mend watching the video l
