Machine Learning In Medicine

The world of medicine is changing due to the implementation of Artificial Intelligence. Fast improvement in computer science and availability of huge amount of data in the field of medicine makes machine learning system to tackle increasingly complex learning tasks, often with unbelievable success. The increasing focus of AI in medicine has led to someContinue reading “Machine Learning In Medicine”

Regularization in Neural Networks

Regularization in Neural Networks In Deep Learning it is necessary to reduce the complexity of model in order to avoid the problem of overfitting. Also, the model should be able to generalize well. This problem can be solve by using regularization techniques. Technically, overfitting harms the generalization. So, our primary goal is to solve theContinue reading “Regularization in Neural Networks”

Introduction to K-means Clustering

K-means Clustering is a unsupervised machine learning technique that solve the well known clustering problem, i.e. portioning ‘n’ number of objects into ‘k’ clusters in which each object belongs to the cluster with the nearest mean. Let’s discuss this in detail. What is Unsupervised Machine Learning? This is a term used in Machine learning which people comeContinue reading “Introduction to K-means Clustering”

YOLO : Real Time Object Detection

We sees an image and instantly know what objects are in the image and where they are unlike machines. The human visual system is fast and accurate. Every AI researcher is struggling to find an efficient method for real time object detection. In 2015 researchers from Allen institute for AI, University of Washington, and FacebookContinue reading “YOLO : Real Time Object Detection”

Capable Machine