hjoshi
New Member
Posts: 1
Status: Offline
Joined:
pm | Machine Learning For Basics (8th May 23 at 3:23am UTC)
Machine Learning For Basics | | Machine learning is a type of artificial intelligence (AI) that allows computer systems to automatically learn from data without being explicitly programmed. In other words, it is the process of training machines to recognize patterns in data and make predictions or decisions based on that learning. Machine learning algorithms are designed to learn from data and improve their performance over time, making them ideal for applications where the amount of data is too large or complex for humans to analyze.
Types of Machine Learning
There are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning.
Supervised Learning
Supervised learning is a type of machine learning in which the model is trained on labeled data. In other words, the model is trained on data that has already been labeled with the correct output. The goal of the Machine learning Course in Pune is to learn a mapping function from input variables to output variables.
Supervised learning can be further categorized into two types: regression and classification. Regression is used when the output variable is a continuous value, while classification is used when the output variable is a categorical value.
Unsupervised Learning
Unsupervised learning is a type of machine learning in which the model is trained on unlabeled data. In other words, the model is trained on data that has not been pre-labeled with the correct output. The goal of unsupervised learning is to find patterns in the data.
Unsupervised learning can be further categorized into two types: clustering and association. Clustering is used when the goal is to group similar data points together, while association is used when the goal is to find relationships between different data points.
Reinforcement Learning
Reinforcement learning is a type of machine learning in which the model learns by interacting with an environment. The model receives feedback in the form of rewards or punishments based on its actions. The goal of Online Machine learning Training in Pune is to learn an optimal policy that maximizes the cumulative reward. | |
|
