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

Step 1: Defining Machine Learning (ML):
Machine Learning is a subset of Artificial Intelligence (AI) focused on building algorithms that allow computers to extract patterns from data and make predictions or decisions without being explicitly programmed for those specific outputs.

Step 2: Key Operational Principles of ML:

• Data Input: Ingesting large historical datasets (previous data).
• Pattern Recognition: Iterative parameter tuning via optimization algorithms to minimize loss/error.
• Continuous Improvement: Refinement of model weights as more new data is introduced, operating autonomously with minimal human guidance.

Step 3: Evaluation of Alternate Concepts:

• (A) IoT: A network of connected physical hardware.
• (B) Edge Computing: An architectural distribution of computation locations.
• (D) Cloud Computing: On-demand delivery of IT infrastructure and compute power via the internet. None of these alternative paradigms are inherently defined by algorithmic pattern learning and auto-improvement; hence, (C) is the correct option.