Question

The capability of a system to learn and improve from previous data automatically, with minimal human intervention, is called

• A. Internet of Things
• B. Edge Computing
• C. Machine Learning
• D. Cloud Computing

Hint:

To remember the distinction: AI is the broad vision of smart machines; Machine Learning is the mathematical engine that allows them to learn from data; Deep Learning is a nested subset of ML using artificial neural networks.

Answer 1

The Correct Option is C

The capability of a system to learn and improve from previous data automatically, with minimal human intervention, is a fundamental property of Machine Learning.

Let's break down the options to understand why Machine Learning is the correct answer:

1. Internet of Things (IoT): IoT refers to the network of physical objects connected via the internet, allowing them to collect and exchange data. It doesn't inherently involve learning or improving from data without human intervention.
2. Edge Computing: This is a distributed computing paradigm that brings computation and data storage closer to the location where it is needed to improve response times and save bandwidth. While it processes data, it does not imply learning from data.
3. Machine Learning: This is a branch of artificial intelligence that focuses on building systems that can automatically learn and improve from experience using data, without being explicitly programmed by humans. It is the correct answer because it directly refers to systems improving autonomously over time with experience.
4. Cloud Computing: This involves delivering various services over the internet, including data storage, servers, databases, etc. While cloud computing can host machine learning models, it itself does not pertain to the learning process.

In summary, the correct answer is Machine Learning because it is designed to improve automatically through the use of algorithms that learn patterns from data, with minimal human guidance.