Reinforcement Learning Framework
In terms of design and implementation, a reinforcement learning (RL) framework is an organized approach that can be used to create RL algorithms. It is … Read more
In terms of design and implementation, a reinforcement learning (RL) framework is an organized approach that can be used to create RL algorithms. It is … Read more
RGPV PYQ Reinforcement learning (RL) is a type of machine learning that allows an agent to learn by interacting with its environment. The agent receives … Read more
RGPV PYQ Computer vision is a field of artificial intelligence that deals with the ability of computers to interpret and understand visual information from the … Read more
Unsupervised model of ML Unsupervised model of machine learning uses machine learning algorithms to analyze and cluster unlabeled datasets. These algorithms discover hidden patterns or … Read more
Ans. Preprocessing of data in machine learning is the technique of preparing (cleaning and organizing) the raw data to make it suitable for a building … Read more
Ans. Machine Learning: Machine learning is a subfield of artificial intelligence, which is broadly defined as the capability of a machine to imitate intelligent human … Read more
Q1. Explain the machine learning concept by taking an example. Describe the perspective and issues in machine learning. Q2. What is the role of preprocessing … Read more