The Top 10 Machine Learning Algorithms You Should Know
Machine learning is a branch of artificial intelligence that deals with the design and development of algorithms that can learn from and make predictions on data. These algorithms are used in a variety of applications, including predictive analytics, natural language processing, image recognition, and robotics.
There are a variety of machine learning algorithms, each with its own strengths and weaknesses. In this article, we will take a look at 10 of the most popular machine learning algorithms and how they are used.
1. Linear Regression
Linear regression is a simple and widely used machine learning algorithm. It is used to predict a quantitative response variable based on a single predictor variable. Linear regression is a parametric method, meaning it makes certain assumptions about the data.
2. Logistic Regression
Logistic regression is a machine learning algorithm used for classification. It is similar to linear regression, but instead of predicting a quantitative response, it predicts a probability. This probability can be used to classify data into two or more classes.
