Data Sclence & ML
Machine Learning
Machine learning (ML) is a branch of artificial intelligence (AI) and computer science that
focuses on the using data and algorithms to enable AI to imitate the way that humans
learn, gradually improving its accuracy.
Computer Vision
Computer vision is a field of computer science that focuses on enabling computers to
identify and understand objects and people in images and videos. Like other types of AI,
computer vision seeks to perform and automate tasks that replicate human capabilities.
NPL
Natural language processing (NLP) is a machine learning technology that gives
computers the ability to interpret, manipulate, and comprehend human language.
Deep Learning
Deep learning is a method in artificial intelligence (AI) that teaches computers to process
data in a way that is inspired by the human brain. Deep learning models can recognize
complex patterns in pictures, text, sounds, and other data to produce accurate insights
and predictions.
Generative Models
A generative model includes the distribution of the data itself, and tells you how likely a
given example is. For example, models that predict the next word in a sequence are
typically generative models (usually much simpler than GANs) because they can assign
a probability to a sequence of words.
Time Series Analysis
Time series analysis is a specific way of analyzing a sequence of data points collected
over an interval of time. In time series analysis, analysts record data points at consistent
intervals over a set period of time rather than just recording the data points intermittently
or randomly.
Data Analysis
Data Analytics
Data analytics converts raw data into actionable insights. It includes a range of tools,
technologies, and processes used to find trends and solve problems by using data. Data
analytics can shape business processes, improve decision-making, and foster business
growth.
Data Visualization
Data visualization is the process of using visual elements like charts, graphs, or maps to
represent data. It translates complex, high-volume, or numerical data into a visual
representation that is easier to process.
Data Dashboards
Data dashboards are a summary of different, but related data sets, presented in a way
that makes the related information easier to understand. Dashboards are a type of data
visualization, and often use common visualization tools such as graphs, charts, and
tables.
Data Collection
Data Entry
Data entry is the process of entering data and updating information into some electronic
service or database. An individual that enters data does so by directly inputting data into
a company database with a computer, mouse, keyboard, scanner or other data entry tool.
Data Scraping
Data scraping, in its most general form, refers to a technique in which a computer program
extracts data from output generated from another program. Data scraping is commonly
manifest in web scraping, the process of using an application to extract valuable
information from a website.
Data Annotation
Data annotation is the process of labeling data available in a video, image or text. The
data is labeled, so that models can easily comprehend a given data source and recognize
certain formats, objects, information, or patterns in the future.
Data Typing
Data entry is the process of inputting information into electronic systems, databases, or
computer files. This crucial task involves transferring data from various sources, such as
paper documents, spreadsheets, or audio recordings, into a digital format that
organizations can easily access, analyze, and use.
Data Management
Data Processing
Data processing occurs when data is collected and translated into usable information.
Usually performed by a data scientist or team of data scientists, it is important for data
processing to be done correctly as not to negatively affect the end product, or data output.
Data Engineering
Data engineering is the practice of designing and building systems for collecting, storing,
and analyzing data at scale. It is a broad field with applications in just about every industry.
Databases
A database is an organized collection of structured information, or data, typically stored
electronically in a computer system.
Data Governance & Protection
Information Governance (IG) is the framework for handling information in a secure and
confidential manner that allows organizations and individuals to manage patient, personal
and sensitive information legally, securely, efficiently and effectively in order to deliver the
best possible healthcare and services.