Artificial Neural Network – Activation Function

Viewer Rating Today’s topic is Activation functions of ANN. Let me list out the most common activation functions. Sigmoid function . ReLU ( Rectified linear unit). Tanh Leaky ReLU. Let’s start the discussion with a simple example: If we try to predict house price then which function can we use? If we use sigmoid function … Read more

Machine Learning is Fun – Part 15 – Recommendation System

Viewer Rating Hello! I hope you enjoyed my last few articles on Machine learning. Today, I want to talk about a very interesting topic, that is recommendation system. There are a number of articles on this topic. But I do not want to re-explain any of these. My intention is to make you understand the … Read more

Machine Learning is Fun – Part 14 – Bias/Variance

Viewer Rating Let us try to explain today’s topic without delving into statistics. Consider that we are analysing height of men for a population of m number of dataset. Now, if we are Indian, we shall attempt to collect data from Indian men because it is the easiest way to collect. Am I correct? After … Read more

Machine Learning is Fun – Part 13 – Decision Tree

Viewer Rating Hi Friends, Today I would like to discuss on the most popular classification and regression algorithm (better to say a set of algorithms) named Decision Tree. What is Decision tree? By the name suggested in the model, it is a tree-based structural model to identify or classify or predict value of any outcome … Read more

Machine Learning is Fun – Part 12 – ARIMA

Viewer Rating What is ARIMA? Actually, it is a combination of two models – AR and MA. AR – Auto Regressive. MA – Moving Average. Lots of jargons? Let me make it clear. Auto Regressive means when there is some correlation between values in a time series and the values that precede and succeed them. … Read more

Machine Learning is Fun – Part 10 – K-Means Clustering

Viewer Rating Hello! I hope you are well and exploring lots of topics in Machine Learning (ML). To continue with my series of ML posts, today, I feel that I need to share a common unsupervised algorithm for a classification problem in ML. My favorite is K means clustering. K-Means: Let’s explore the meaning of … Read more

What is Deep Learning?

Viewer Rating Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. Learning can be supervised, semi-supervised or unsupervised. Deep learning architectures such as deep neural networks, deep belief networks and recurrent neural networks … Read more

Machine Learning is Fun – Part 9 – Logistic Regression

Viewer Rating Hi Friends, Let’s get back to technical things again. In my last topic, I have explained the concept of linear regression. Today, I am going to explain what is logistic regression. Let’s start with an example: suppose, you want to predict a diagnostic test for cancer. Now, you have some features of data … Read more