Data Science

 0    57 词汇卡    klaudiatkacz
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Apache MLlib
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Language that makes machine learning scalable
Apache Spark
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A general-purpose cluster-computing framework allowing you to process data using compute clusters
API
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Application programming interface allows communication between two pieces of software
Caffe
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A deep learning algorithm repository built with C++ with Python and Matlab bindings
CDLA
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Community Data License Agreement
Classification models
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Are used to predict whether some information or data belongs to a category (or “class”)
CLI
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Command line interface
C++
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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
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Language for deep learning
Deep learning
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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
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Extract, Load, Transform
ETL
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Extract, Transform, and Load
FSF
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Free Software Foundation
ggplot2
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A popular library for data visualization in R
GPU
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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
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Application of Java which manages data processing and storage for big data applications running in clustered systems
Java
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Object-oriented programming language
Java-ML
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Language for machine learning
JVM
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Java Virtual Machine
JavaScript
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A general-purpose language that extended beyond the browser with the creation of Node. js and other server-side approaches
Julia
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A language for high-performance numerical analysis and computational science
Jupyter Notebook
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A browser-based application that allows you to create and share documents containing code, equations, visualizations, narrative text links, and more
Jupyter Lab
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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
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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
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Used for creating interactive plots
ML
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Machine learning uses algorithms – also known as “models” - to identify patterns in the data
Matplotlib
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Package for data visualization
Model training
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The process by which the model learns patterns from data
MNIST
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Modified National Institute of Standards and Technology
MongoDB
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A NoSQL database for big data management that was built with C++
NLP
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Natural Language Processing
NLTK
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Natural Language Toolkit
NumPy
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Libraries are based on arrays and matrices, allowing you to apply mathematical functions to the arrays
OSI
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Open-Source Initiative
PaaS
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Platform as a service
Pandas
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A library that offers data structures and tools for effective data cleaning, manipulation, and analysis
Plotly
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Used for web-based data visualizations that can be displayed or saved as individual HTML files
PMML
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Predictive Model Markup Language
Python
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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
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A statistical computing language
Regression models
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Are used to predict a numeric (or “real”) value
Reinforcement Learning
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Loosely based on the way human beings and other organisms learn
REST
the S stands for State, and the T stands for Transfer
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RE stands for Representational
RStudio
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Unifies programming, execution, debugging, remote data access, data exploration, and visualization into one tool
SaaS
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Software as a service
Scala
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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
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Integrates code, documentation, and visualizations, among others, into a single canvas
SQL
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Structured Query Language that is non-procedural, used for querying and managing data
Supervised Learning
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A learning in which a human provides input data and correct outputs
TensorFlow
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Deep Learning library for dataflow that was built with C++
Unsupervised Learning
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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
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A fully integrated development environment for data scientists
Weka
开始学习
Language for data mining

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