Confusion Matrix is a great tool to measure the performance of a classifier, be it a binary classifier or a multi-class classifier. Click to know more!
Perceptron Learning is a supervised learning algorithm for classification of data in linearly separable datasets. Click to know more about Perceptrons!
Bayesian network is a model used for studying different statistical information based on conditional probabilities. The model consists of nodes and edges, forming a tree that is important for establishing a conditional connection between all the nodes. Click to know more!
Machine learning involves processes used in data mining and predictive modeling. What’s common in all these is looking up into the data for patterns and also monitoring the program actions accordingly. Click to learn about 5 machine learning algorithms!
Regression is a technique that is used to model the relationship of a dependent variable with respect to one or more independent variables. It is widely used in several statistical analysis problems and it is also one of the most important tools in Machine Learning.
The regression tree is a type of decision tree. With the regression tree, a user can visualize each step to help with decision-making.
Deep learning is a learning technique that allows a computer program, to recognize the content of an image or understand the spoken language – complex challenges, on which the artificial intelligence research community has developed. Click to know more about Deep Learning AI!
Data science and artificial intelligence are creating buzz in today’s world. Most companies, including non-technology companies, are opening a separate department for data science and artificial intelligence for their organization to achieve a competitive advantage over others. Click to know more!
Robotics and Artificial intelligence are two areas that are now undoubtedly the most actively developing fields of science and technology. Click to know more about them!
Logistic Regression is one of the most commonly used Machine Learning algorithms that is used to model a binary variable. Click to know some of the popularly studied Logistic Regression examples!