Data Science

Top Buzzwords in the Field of Data Science and What They Represent

Satavisa Pati

Buzzwords of the data science world that one should know about

Buzzword refers to the word that has a buzz around it, meaning it is popularly used among people a lot. Buzzwords can be discussed in conversation, social media posts and may also come in many search results. Here are the top buzzwords related to data science.

Big Data

Social media trends: 5000+

Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it's not the amount of data that's important. It's what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves.

Cloud Computing

Social media trends: 1000+

Cloud computing is on-demand access, via the internet, to computing resources—applications, servers (physical servers and virtual servers), data storage, development tools, networking capabilities, and more—hosted at a remote data center managed by a cloud services provider (or CSP). The CSP makes these resources available for a monthly subscription fee or bills them according to usage.

Deep Learning

Social media trends: 1000+

Deep Learning is a subset of Machine Learning, which on the other hand is a subset of Artificial Intelligence. Deep learning algorithms attempt to draw similar conclusions as humans would by continually analyzing data with a given logical structure. To achieve this, deep learning uses a multi-layered structure of algorithms called neural networks.

Machine Learning

Social media trends: 1.2m

Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.

Real-Time Analytics

Social media trends: 500+

Real time analytics refers to the process of preparing and measuring data as soon as it enters the database. In other words, users get insights or can draw conclusions immediately (or very rapidly after) the data enters their system. Real-time analytics allows businesses to react without delay. They can seize opportunities or prevent problems before they happen.

Data Accuracy

Social media trends: 100+

In data management, data accuracy is the first and critical component/standard of the data quality framework. A popularly cited work, Data Quality: The Accuracy Dimension by Jack Olson explains form and content as two of the most important characteristics of data accuracy.

Digital Automation

Social media trends: 1000+

Digital Automation is an alternative to traditional automation approaches like Application Programme Interfaces' (APIs). The technology accesses systems using the user interface of applications enabling rapid 'virtual' integration to autonomously execute business processes with human exception management.

Cognitive Computing

Social media trends: 1000+

Cognitive computing is the use of computerized models to simulate the human thought process in complex situations where the answers may be ambiguous and uncertain. The phrase is closely associated with IBM's cognitive computer system, Watson. Cognitive computing overlaps with AI and involves many of the same underlying technologies to power cognitive applications, including expert systems, neural networks, robotics and virtual reality (VR).

Mobile Analytics

Social media trends: 500+

Mobile analytics is the practice of collecting user behavior data, determining intent from those metrics and taking action to drive retention, engagement, and conversion. The field includes the mobile web, but tends to focus on analytics for native iOS and Android applications.

Natural Language Processing

Social media trends: 14.7k

Natural language processing (NLP) is a branch of artificial intelligence that helps computers understand, interpret and manipulate human language. NLP draws from many disciplines, including computer science and computational linguistics, in its pursuit to fill the gap between human communication and computer understanding.

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