A Data Science Project-Introduction: How can we have better life expectancy!

Hi, future data science buddies! I have been asked many times how can I become data scientist or what should I do to become a data scientist.  Here I have written about some technical skills that are required to be a data scientist. https://d4datascience.wordpress.com/2016/02/13/how-to-make-career-into-data-science/ But above article was lacking one thing, and Monica Rogati has … More A Data Science Project-Introduction: How can we have better life expectancy!

How to improve performance of Neural Networks

  Neural networks have been the most promising field of research for quite some time. Recently they have picked up more pace. In earlier days of neural networks, it could only implement single hidden layers and still we have seen better results. Deep learning methods are becoming exponentially more important due to their demonstrated success … More How to improve performance of Neural Networks

RECOMMENDER SYSTEMS 101

Have you ever given a thought how e-commerce websites show you products with “Customer who bought this also bought this” or how Netflix recommends movies based on your interest or how facebook discovers “Person you may know” list? Let’s look at the below pictures: Amazon: “When you buy a book” Netflix: “Other Movies You Might … More RECOMMENDER SYSTEMS 101

Introduction To Lasso Regression

Lasso regression analysis is a shrinkage and variable selection method for linear regression models. The goal of lasso regression is to obtain the subset of predictors that minimizes prediction error for a quantitative response variable. The lasso does this by imposing a constraint on the model parameters that causes regression coefficients for some variables to … More Introduction To Lasso Regression

Difference between Usual Machine Learning and Deep Learning Explained!

As wikipedia defines: “Machine learning is a subfield of computer science[1] that evolved from the study of pattern recognition and computational learning theory in artificial intelligence.[1] Machine learning explores the study and construction of algorithms that can learn from and make predictions on data.[2] Such algorithms operate by building a model from example inputs in order to make data-driven predictions or decisions,[3]:2 rather than following strictly static program instructions.” i.e. you collect a … More Difference between Usual Machine Learning and Deep Learning Explained!