Data Science

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

Jupyter Lab

A browser-based application that allows you to access multiple Jupyter Notebook files, other code, and data files

Kernel

An execution environment for the different programming languages

Lattice

It is a high-level data visualization library that can handle graphics without customizations

Library

A collection of functions and methods that allow you to perform many actions without writing the code

Leaflet

Used for creating interactive plots

ML

Machine learning uses algorithms – also known as “models” - to identify patterns in the data

Matplotlib

Package for data visualization

Model training

The process by which the model learns patterns from data

MNIST

Modified National Institute of Standards and Technology

MongoDB

A NoSQL database for big data management that was built with C++

NLP

Natural Language Processing

NLTK

Natural Language Toolkit

NumPy

Libraries are based on arrays and matrices, allowing you to apply mathematical functions to the arrays

OSI

Open-Source Initiative

PaaS

Platform as a service

Pandas

A library that offers data structures and tools for effective data cleaning, manipulation, and analysis

Plotly

Used for web-based data visualizations that can be displayed or saved as individual HTML files

PMML

Predictive Model Markup Language

Python

A high-level, general-purpose programming language. It has a large, standard library that provides tools suited to many different tasks, including Databases, Automation, Web scraping, Text processing, Image processing, Machine learning, and Data analytics

R

A statistical computing language

Regression models

Are used to predict a numeric (or “real”) value

Reinforcement Learning

Loosely based on the way human beings and other organisms learn

REST

RE stands for Representational

RStudio

Unifies programming, execution, debugging, remote data access, data exploration, and visualization into one tool

SaaS

Software as a service

Scala

Is a combination of scalable and language. A general-purpose programming language that provides support for functional programming and is a strong static type system

Spyder

Integrates code, documentation, and visualizations, among others, into a single canvas

SQL

Structured Query Language that is non-procedural, used for querying and managing data

Supervised Learning

A learning in which a human provides input data and correct outputs

TensorFlow

Deep Learning library for dataflow that was built with C++

Unsupervised Learning

The data is not labeled by a human. Examples are Clustering models used to divide each record of a dataset into one of a similar group

Watson Studio

A fully integrated development environment for data scientists

Weka

Language for data mining