Abhishek KathuriaAug 2611 minTop 5 Machine Learning Algorithms used by Data Scientists with Python: Part-1As the first part, this article consists of two commonly used machine learning algorithms which are Logistic Regression and Clustering.....

Akshay AggarwalJul 239 minGaussian Mixture Models for ClusteringIn this article, we’ll study a popular statistic model – Gaussian Mixture Model (GMM) and see how it can be readily applied for the unsup...

Abhishek KathuriaJul 105 minTrends of AI in HealthcareThe AI in the healthcare market is expected to grow at a compound rate of 48% in the next five to ten years. The AI in health has a simple m

Abhishek KathuriaJun 303 minLinear Regression for Beginners: A Mathematical IntroductionLinear Regression is a supervised machine learning algorithm where the value of the dependent variable is predicted for one or more independ

Yash upadhyayJun 296 minReinforcement Learning: A step towards Artificial General IntelligenceYes, It's PacMan Unlike other machine learning algorithms, that are dependent on pre-collected data, Reinforcement Learning is a type of ...

Yash upadhyayJun 294 minTransfer Learning for Deep Learning: Pre-trained models to save training time and costSource Training a neural network has been posing problems for researchers and developers for a long time. There are basically two major p...

Yash upadhyayJun 288 minNLP: Applications, Techniques, and BeyondNLP (Natural Language Processing) is a subfield of AI that is concerned with understanding and synthesizing the natural language of human...

Yash upadhyayJun 288 minA Beginner's guide to GANs and their ApplicationsGenerative Adversarial Networks or GANs are a new type of neural architectures introduced by Ian Goodfellow and other researchers at the Uni