sharad jainBuilding the right MVPOne of the first steps in building a product is to validate the idea and mitigate the risk of failure by coming up with a prototype with…Jul 30, 2018Jul 30, 2018
sharad jainApplying Hidden Markov Models to predict failuresA key challenge in running applications seamlessly on cloud is to proactively handle downtime. These error events generally results into…Jun 11, 2018Jun 11, 2018
sharad jainUnderstanding Markov ModelsMarkov chains is a way to statistically model real world’s stochastic processes. The system under consideration hops from one discrete…Jun 9, 2018Jun 9, 2018
sharad jainImportance of Feature engineering in Predictive AnalyticsRecently I took part in a Kaggle competition for a NYC based company called RentHop. It’s an internet based rental apartment listing…Apr 30, 2018Apr 30, 2018
sharad jainHow Apple stole ‘Mobile’ from Microsoft ?“Microsoft was able to successfully pull out bulky computers from giant labs to our desks but failed miserably to put the same…Apr 20, 2018Apr 20, 2018
sharad jainTowards Predictive Maintenance : Fixing the failures before they occur !When DeepBlue defeated Gary Kasparov in 1997, The contemporary AI researchers claimed that it will take another century for an AI to master…Apr 9, 2018Apr 9, 2018
sharad jainA Tale of Imbalanced classesIn many deep learning and machine learning applications, we often come across data sets where one type of data may be seen more than other…Mar 5, 2018Mar 5, 2018
sharad jainLeveraging Cloud to do Data ScienceIn this blog series we will discuss how data scientists use cloud services like AWS to deploy data science solutions to production or to…Feb 11, 2018Feb 11, 2018