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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
Viewer Rating Today, I want to discuss about a very important algorithm in Machine learning (or you can say the heart of Deep learning) and that is ANN or Artificial Neural Network. Where did the concept come from ? On the left , let me show you a very simple picture of a human neuron. … Read more
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
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
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
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
Viewer Rating Dear Friends, Hope you are all well. Today I want to discuss an interesting topic and that is time series analysis. Yes, we are trying to predict the amount of data that is captured in some interval of time. Now you can ask – if we already have linear regression, then why do … Read more
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
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
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