Introduction to Machine Learning.pptx
Download as PPTX, PDF
0 likes127 views
Machine learning is a form of artificial intelligence that uses algorithms and data to automatically analyze and make decisions without human intervention by learning from previous experiences. The key difference between normal computer software and machine learning is that machine learning is trained by large amounts of data rather than being explicitly programmed. Common machine learning algorithms include neural networks, random forests, decision trees, genetic algorithms, radial basis functions, and sigmoid functions. The three main types of machine learning are supervised learning, unsupervised learning, and reinforcement learning.
Introduction to Machine Learning.pptx
- 2. What is Machine Learning Machine learning is an application of artificial intelligence that involves algorithms and data that automatically analyse and make decision by itself without human intervention. It describes how computer perform tasks on their own by previous experiences. Therefore we can say in machine language artificial intelligence is genarated on the basis of experience.
- 3. Normal Computer vs ML The difference between noramal computer softaware and machine learning is that a human devaloper hasnt given codes that instructs the system how to react to situation ,instead it is being trained by a large number of data.
- 4. Some of the machine learning algorithms are : Neural Networks Random Forests Decision trees Genetic algorithm Radial basis function Sigmoid
- 5. Types of Machine Learning There are three types of machine learning -- Supervised learning -- unsupervised learning -- Reinforcement Learning