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!
Author Archive | Aman Goel
Perceptron Learning is a supervised learning algorithm for classification of data in linearly separable datasets. Click to know more about Perceptrons!
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.
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 Lifecycle Management, also called as DLM, is a set of processes used to administer the data of the company from its definition to its withdrawal. It is a series of steps that the corporates apply in order to create, maintain and access their data. Click to know more about corporate life cycle and data!
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!
Scientific Python, popularly known as Scipy is a powerful mathematics and number processing library in Python. Click to know more about Scipy!
Database testing is generally considered to be the most important part of testing that helps in checking the overall functionality of the specific software. Click to know more about database testing!
Programming and mathematics go hand-in-hand. Eventually, every programming problem is an underlying mathematics problem where programming has been used simply as a tool to perform computation and obtain the output. Click to know more about coding math!
Neural Networks are one of the most powerful algorithms in Machine Learning. They work on large datasets and provide excellent results in certain cases. Click to learn Neural Network programming basics!