Which of the following is not true about Machine Learning?
A. Machine Learning models iteratively learn from data and allow computers to find hidden insights.
B. Machine Learning models help us in tasks such as object recognition, summarization, and recommendation.
C. Machine Learning was inspired by the learning process of human beings.
D. Machine learning gives computers the ability to make decisions by writing down rules and methods and being explicit.
The correct answer and explanation is :
The correct answer is D. Machine learning gives computers the ability to make decisions by writing down rules and methods and being explicit.
Explanation:
Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on building models that enable computers to learn from data without being explicitly programmed with rules or methods. The statement in D is not true because one of the core aspects of machine learning is that it does not rely on explicitly written rules to make decisions. Instead, machine learning algorithms learn patterns and relationships from the data itself and use these learned patterns to make predictions or decisions.
Here’s a detailed breakdown of the other options:
- A. Machine learning models iteratively learn from data and allow computers to find hidden insights.
This statement is true. One of the fundamental principles of machine learning is that models are trained iteratively on data. Through this iterative learning process, models can identify patterns or hidden relationships in data that may not be obvious at first glance. This process of continuous learning allows the system to improve its performance over time, based on new data. - B. Machine learning models help us in tasks such as object recognition, summarization, and recommendation.
This is also true. Machine learning has numerous applications, and some of the most common include object recognition (e.g., identifying objects in images), summarization (e.g., summarizing large documents), and recommendation (e.g., recommending products based on previous user behavior). These tasks are typically solved using various machine learning techniques, such as supervised learning, unsupervised learning, and reinforcement learning. - C. Machine learning was inspired by the learning process of human beings.
This statement is true as well. The inspiration behind many machine learning algorithms comes from human learning processes. Just as humans learn from experience, machine learning models are designed to learn from data through experience, adjusting their internal parameters based on the data they encounter.
In summary, machine learning is all about models learning from data, rather than being explicitly programmed with rigid rules and instructions. Hence, option D is the only incorrect statement.