Data Science

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Apache MLlib
学び始める
Language that makes machine learning scalable
Apache Spark
学び始める
A general-purpose cluster-computing framework allowing you to process data using compute clusters
API
学び始める
Application programming interface allows communication between two pieces of software
Caffe
学び始める
A deep learning algorithm repository built with C++ with Python and Matlab bindings
CDLA
学び始める
Community Data License Agreement
Classification models
学び始める
Are used to predict whether some information or data belongs to a category (or “class”)
CLI
学び始める
Command line interface
C++
学び始める
A general-purpose programming language. It is an extension of the C programming language or C with Classes
Data set
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A structured collection of data
Deeplearning4
学び始める
Language for deep learning
Deep learning
学び始める
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
学び始める
Extract, Load, Transform
ETL
学び始める
Extract, Transform, and Load
FSF
学び始める
Free Software Foundation
ggplot2
学び始める
A popular library for data visualization in R
GPU
学び始める
Graphics processing units
Git
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De facto standard for code asset management, also known as version management or version control. Around Git emerged several services, GitHub, and GitLab
Hadoop
学び始める
Application of Java which manages data processing and storage for big data applications running in clustered systems
Java
学び始める
Object-oriented programming language
Java-ML
学び始める
Language for machine learning
JVM
学び始める
Java Virtual Machine
JavaScript
学び始める
A general-purpose language that extended beyond the browser with the creation of Node. js and other server-side approaches
Julia
学び始める
A language for high-performance numerical analysis and computational science
Jupyter Notebook
学び始める
A browser-based application that allows you to create and share documents containing code, equations, visualizations, narrative text links, and more
Jupyter Lab
学び始める
A browser-based application that allows you to access multiple Jupyter Notebook files, other code, and data files
Kernel
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An execution environment for the different programming languages
Lattice
学び始める
It is a high-level data visualization library that can handle graphics without customizations
Library
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A collection of functions and methods that allow you to perform many actions without writing the code
Leaflet
学び始める
Used for creating interactive plots
ML
学び始める
Machine learning uses algorithms – also known as “models” - to identify patterns in the data
Matplotlib
学び始める
Package for data visualization
Model training
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The process by which the model learns patterns from data
MNIST
学び始める
Modified National Institute of Standards and Technology
MongoDB
学び始める
A NoSQL database for big data management that was built with C++
NLP
学び始める
Natural Language Processing
NLTK
学び始める
Natural Language Toolkit
NumPy
学び始める
Libraries are based on arrays and matrices, allowing you to apply mathematical functions to the arrays
OSI
学び始める
Open-Source Initiative
PaaS
学び始める
Platform as a service
Pandas
学び始める
A library that offers data structures and tools for effective data cleaning, manipulation, and analysis
Plotly
学び始める
Used for web-based data visualizations that can be displayed or saved as individual HTML files
PMML
学び始める
Predictive Model Markup Language
Python
学び始める
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
学び始める
A statistical computing language
Regression models
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Are used to predict a numeric (or “real”) value
Reinforcement Learning
学び始める
Loosely based on the way human beings and other organisms learn
REST
the S stands for State, and the T stands for Transfer
学び始める
RE stands for Representational
RStudio
学び始める
Unifies programming, execution, debugging, remote data access, data exploration, and visualization into one tool
SaaS
学び始める
Software as a service
Scala
学び始める
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
学び始める
Integrates code, documentation, and visualizations, among others, into a single canvas
SQL
学び始める
Structured Query Language that is non-procedural, used for querying and managing data
Supervised Learning
学び始める
A learning in which a human provides input data and correct outputs
TensorFlow
学び始める
Deep Learning library for dataflow that was built with C++
Unsupervised Learning
学び始める
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
学び始める
A fully integrated development environment for data scientists
Weka
学び始める
Language for data mining

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