→ Data Science → Start Learning / Download MP3 Flashcards

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

Data Science

You must sign in to write a comment

More