Aspect Supervised Learning Unsupervised Learning Reinforcement Learning Learning Paradigm Labeled data with input-output pairs Unlabeled data with no explicit target labels Feedback-based learning through interactions … Read more
Labeled data, in the context of machine learning, refers to a dataset where each example (data point) is associated with a corresponding target label or … Read more
Feature scaling is a method of preparing data that is used to make sure that the independent features (variables) in a dataset have a standardized … Read more
Missing data handling is an important part of data preparation because missing values may degrade the performance of machine learning models. Dealing with missing data … Read more
Data cleaning is an essential part of data preprocessing, where the focus is on identifying and rectifying errors, inconsistencies, and inaccuracies in the raw data. … Read more
Data preprocessing is a crucial step in the machine learning workflow that involves preparing and cleaning the raw data to make it suitable for training … Read more
Machine learning has found numerous applications across various industries and domains due to its ability to analyze large datasets, identify patterns, and make predictions or … Read more
Machine learning can be categorized into three main types based on the learning process and the type of data used for training. Types of machine … Read more
Machine Learning (ML) is a branch of artificial intelligence (AI) that concentrates on the creation of algorithms and statistics models which enable computers to learn … Read more