Using GPU for deep learning has seen a tremendous performance. It has been reported that execution time using GPU is 10x -50x times faster than CPU-based deep learning and It is also a lot cheaper than CPU-based system. You can see this below in the picture. I was curious to check deep learning performance on … More Setting up a GPU based Deep Learning Machine
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!
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
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
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
People often get stuck when they are asked to improve the performance of predictive models. What usually they do is try different algorithms and check their results. But often they end up not improving the model. Today I will walk you through what we can do to improve our models. You can build a predictive … More Boosting Performance of Machine Learning Models
As wikipedia defines: “Machine learning is a subfield of computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence. Machine learning explores the study and construction of algorithms that can learn from and make predictions on data. Such algorithms operate by building a model from example inputs in order to make data-driven predictions or decisions,:2 rather than following strictly static program instructions.” i.e. you collect a … More Difference between Usual Machine Learning and Deep Learning Explained!
Hello, Guys!! Recently I have been asked by many people that what they should do to make a career in data science field. The first requisite is that you should have the fire in your belly to make into this field. Believe me, there is no dearth of jobs.There are jobs out there you should … More How to make career into Data Science