Explain continuous and discrete probability distributions Answer:- Probability Distributions Probability Distributions A probability distribution describes how the values of a random variable are distributed. It gives the probability of each possible outcome and is divided into two main types: Discrete…
Apply and explain Principal Component Analysis (PCA) algorithm for the given data points and prove that PCA works. [2 6] [1 7] Answer:-
Explain data preprocessing with an example Answer:- Data preprocessing is the process of cleaning, transforming, and organizing raw data before feeding it into a machine learning model. It improves the quality of data and helps the model learn effectively. Need…
Data is a raw fact or unprocessed information that can be stored, transmitted, and processed by a computer system. It can be in the form of text, numbers, images, audio, video, etc. Data becomes meaningful only after it is processed…
Explain different types of Machine Learning with a diagram. Types of Machine Learning 1. Supervised Learning In supervised learning, the model is trained on a labeled dataset, meaning each input has a known output. The goal is to learn a…
Define Machine Learning. Explain its relationship to other fields with a diagram Answer:- Relationship to other fields with a diagram
BCS602 – Machine Learning Solved Model Question Paper with Solutions Follow the VTU Updates channel on Telegram: Follow the VTU Updates channel on WhatsApp: Module 1 1.a] Define Machine Learning. Explain its relationship to other fields with a…
BCS402 – Microcontrollers Solved Model Question Paper with Solutions Module 1 1.a] Mention the difference between: 1. Microcontroller and Microprocessor 2. RISC and CISC 1.b] Explain the architecture of an ARM embedded device with the help of a neat diagram.…
BCS456B Capacity planning for IT Solved Important Questions
A Graph Database is a type of NoSQL database that represents and stores data in the form of nodes, relationships (edges), and properties. It is designed to efficiently store and query complex, highly connected data such as social networks, recommendation…
