IntroductionFull TranscriptionKey PointsTechnical Terms GlossaryConclusion

Technical Terms Glossary

1. Algorithm

An algorithm is a step-by-step procedure or formula for solving a problem. It is often used in computer science for data processing and automated reasoning.

2. API (Application Programming Interface)

An API is a set of rules and tools that allows different software applications to communicate with each other. It defines the methods and data formats that applications can use to interact with external software components.

3. Machine Learning

Machine Learning is a subset of artificial intelligence that involves the use of algorithms and statistical models to enable computers to improve their performance on a task through experience.

4. Neural Network

A neural network is a series of algorithms that attempt to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates.

5. Big Data

Big Data refers to extremely large datasets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions.

6. Cloud Computing

Cloud Computing is the delivery of computing services—including servers, storage, databases, networking, software, and analytics—over the internet (the cloud) to offer faster innovation, flexible resources, and economies of scale.

7. Blockchain

Blockchain is a distributed ledger technology that allows data to be stored globally on thousands of servers, making it decentralized and transparent. It is the technology behind cryptocurrencies like Bitcoin.

8. IoT (Internet of Things)

The Internet of Things refers to the network of physical objects—devices, vehicles, buildings, and other items—embedded with sensors, software, and other technologies to connect and exchange data with other devices and systems over the internet.

9. Cybersecurity

Cybersecurity is the practice of protecting systems, networks, and programs from digital attacks. These attacks are usually aimed at accessing, changing, or destroying sensitive information, extorting money from users, or interrupting normal business processes.

10. Data Mining

Data Mining is the process of discovering patterns and knowledge from large amounts of data. The data sources can include databases, data warehouses, the internet, and other data repositories.

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