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Learn the fundamentals and advanced concepts of machine learning, a subset of artificial intelligence that enables computers to learn from data. Explore the types, applications, history, and examples of machine learning algorithms.
- Linear Regression. Linear regression is one of the most popular and simple machine learning algorithms that is used for predictive analysis. Here, predictive analysis defines prediction of something, and linear regression makes predictions for continuous numbers such as salary, age, etc.
- Logistic Regression. Logistic regression is the supervised learning algorithm, which is used to predict the categorical variables or discrete values. It can be used for the classification problems in machine learning, and the output of the logistic regression algorithm can be either Yes or NO, 0 or 1, Red or Blue, etc.
- Decision Tree Algorithm. A decision tree is a supervised learning algorithm that is mainly used to solve the classification problems but can also be used for solving the regression problems.
- Support Vector Machine Algorithm. A support vector machine or SVM is a supervised learning algorithm that can also be used for classification and regression problems.
Learn what is machine learning, its techniques, applications, and examples. Javatpoint is a popular website for Java and other technologies.
- 62 min
- Introduction : Getting Started with Machine Learning. An Introduction to Machine Learning. What is Machine Learning ? Introduction to Data in Machine Learning.
- Data and It’s Processing: Introduction to Data in Machine Learning. Understanding Data Processing. Python | Create Test DataSets using Sklearn. Python | Generate test datasets for Machine learning.
- Supervised learning : Getting started with Classification. Basic Concept of Classification. Types of Regression Techniques. Classification vs Regression. ML | Types of Learning – Supervised Learning.
- Unsupervised learning : ML | Types of Learning – Unsupervised Learning. Supervised and Unsupervised learning. Clustering in Machine Learning. Different Types of Clustering Algorithm.
Learn the basics of machine learning, a branch of artificial intelligence that allows computers to learn from data and make predictions or decisions. Explore the types, stages, algorithms, and applications of machine learning with examples and resources.
Machine learning is a branch of artificial intelligence that involves developing algorithms and statistical models that allow computers to learn from data and make predictions or decisions without being explicitly programmed.
1 day ago · G-Fact 74 | Introduction to Machine Learning. In this video, we will explore the fundamentals of machine learning, a branch of artificial intelligence that enables systems to learn from data and improve their performance over time without being explicitly programmed. This tutorial is perfect for students, professionals, or anyone interested in ...
