Definition of Terminologies 1
Artificial Intelligence (AI) is a field within computer science that focuses on developing systems capable of executing tasks that would ordinarily require human intelligence. These tasks encompass learning, reasoning, solving problems, perceiving as well as language comprehension.
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Machine Learning (ML) is a subset of Artificial Intelligence that entails developing algorithms that can learn and make predictions based on data.
Deep Learning is a subset of Machine Learning that analyses data using neural networks with several layers (deep networks). It’s very good at handling unstructured data like images and audio.
Natural Language Processing (NLP) is a branch of Artificial Intelligence that focuses on the interaction between computers and humans using natural language. The objective of NLP is for computers to be able to understand, interpret, and respond to human languages in a useful way.
Computer Vision is a domain in Artificial Intelligence which involves teaching computers to recognize and comprehend the visual world.
Robotic and Automation encompasses the building and management of robots, with robotics specifically focusing on this aspect. Automation, on the other hand, is the application of technology aimed at eliminating human involvement. Within the realm of Al, these fields aim to enhance processes, making them more intelligent and flexible.
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Big Data are extraordinarily large data sets that can be computationally analyzed to identify patterns, trends, and correlations.
Business Intelligence is the application of technology to analyse data and provide useful insights for strategic decision-making.
Data Analytics is the science of examining unprocessed data to draw inferences about it is known as data analytics.
The Internet of Things (loT) refers to a system where physical objects, or ‘things,’ are embedded with sensors, software, and various technologies, enabling them to connect and share data with other devices and systems via the internet.
Fintech is a term that describes businesses that leverage technology to improve or automate financial services and operations
The Startup Ecosystem refers to the interconnected community of people (such as founders, investors, mentors), organizations (like educational institutions, governmental bodies, startup accelerators, and incubators), and activities (including creating business models, conducting market analysis, and developing products) that collectively support and nurture the evolution and expansion of new business ventures. Innovation Hubs and Incubators refers to establishments and initiatives structured to cultivate creativity and assist emerging companies and entrepreneurs in advancing their products or services. They offer essential resources such as workspace, guidance, networking opportunities, and financial support.
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