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Chapter 6

I/O Bound Program

CPU Bound Program

Scheduling Criteria

• CPU Utilization
• Throughput
• Waiting Time
• Turnaround Time

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Angular JS

Directives

• ng-app: Load directives in Page
• ng-controller: Load controller in an HTML element
• ng-show: Display HTML element based on expression
• ng-hide: Hide GTML element based on expression
• ng-repeat: For Loop

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Apache Spark

This will be a quick guide to get you introduced with one of the most popular and effective tools used for working with big data. Apache Spark is a cluster computing platform designed to be fast and general-purpose. On the speed side, Spark extends the popular MapReduce model to efficiently suport more types of computations, including interactive queries and stream processing.

Getting Spark

• Unlike Hadoop, it is very easy to get Spark installed and running on your computer locally. But we have provided a pre-configured VM to get Spark and IPython notebook running quickly on your machine.
• A VagrantFile is provided in the repository which will instantiate an Ubuntu virtual machine for you. The steps for running a vagrant VM has been explained in the previous assignment.
• Once we have the machine up and running and you have ssh-ed into it, you will see a file spark-notebook.py in /home/vagrant directory.
• Simply run this script using the command python spark_notebook.py. This wi

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Deep Learning & Neural Networks

##Linear Algebra

##Probability & Information Theory

• Random Variables
• Probability Distributions
  • Probability Mass Function (PMF)
• Probability Density Function (PDF)

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#Data Mining

##Knowledge Discovery in Databases

• Types:
  • Association Rules**
  • Causality (Interestingness, Conviction)
  • Clustering
  • Classification
  • Sequential Patterns
• Association Rules