V2_L5: Tools for Data Science
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Apache MLlib
Language that makes machine learning scalable
Apache Spark
A general-purpose cluster-computing framework allowing you to process data using compute clusters
API
Application programming interface allows communication between two pieces of software
Caffe
A deep learning algorithm repository built with C++ with Python and Matlab bindings
CDLA
Community Data License Agreement
Classification models
Are used to predict whether some information or data belongs to a category (or “class”)
CLI
Command line interface
C++
A general-purpose programming language. It is an extension of the C programming language or C with Classes
Data set
A structured collection of data
Deeplearning4
Language for deep learning
Deep learning
A specialized type of machine learning. It refers to a general set of models and techniques that loosely emulate the way the human brain solves a wide range of problems
ELT
Extract, Load, Transform
ETL
Extract, Transform, and Load
FSF
Free Software Foundation
ggplot2
A popular library for data visualization in R
GPU
Graphics processing units
Git
De facto standard for code asset management, also known as version management or version control. Around Git emerged several services, GitHub, and GitLab
Hadoop
Application of Java which manages data processing and storage for big data applications running in clustered systems
Java
Object-oriented programming language
Java-ML
Language for machine learning
JVM
Java Virtual Machine
JavaScript
A general-purpose language that extended beyond the browser with the creation of Node.js and other server-side approaches
Julia
A language for high-performance numerical analysis and computational science
Jupyter Notebook
A browser-based application that allows you to create and share documents containing code, equations, visualizations, narrative text links, and more