Question No. 01

What is the pre-requisite to start this course?

Sem 1: CS1200 – Data Analysis with Python 

Sem 2: CS1830 – Linear Algebra

Question No. 02

What is Machine Learning?

Machine Learning is a branch of artificial intelligence that focuses on developing algorithms and models allowing computers to learn from data and make predictions or decisions without explicit programming.

Question No. 03

Is prior programming experience required for the Introduction to Machine Learning course? 

While a background in programming is beneficial, the course assumes a basic understanding of Python gained through the prerequisite CS1200. The focus is on introducing machine learning concepts. 

Question No. 04

What programming language is used in the Introduction to Machine Learning course?

The course primarily utilizes Python for implementing machine learning algorithms due to its simplicity, extensive libraries, and widespread use in the field.

Question No. 05

What are the career implications of taking the Introduction to Machine Learning course?

Completing this course provides a foundational understanding of machine learning, a valuable skill in various industries, including data science, artificial intelligence, and automation, enhancing career prospects in these fields.