Machine Learning

Introduction Working with Python has always been a good experience for me. Not just because of its easy code syntax, but due to its phenomenal community support. …

Overview Deep dive into the concept of recommendation engine in python Building a recommendation system in python using the graphlab library Explanation of the …

Introduction Don’t be a data scientist whose models fail to get deployed! An epic example of model deployment failure is from Netflix Prize Competition. In …

Introduction Learn to connect AWS instance with your laptop / desktop for faster computation! Do you struggle with working on big data (large data sets) …

Introduction Last week, I wrote an introductory article on the package data.table. It was intended to provide you a head start and become familiar with …

Introduction Surprises arrive when you expect them least to arrive. The Seer’s Accuracy turned out to be a challenging surprise for data scientists.  So, what changed …

Introduction R users (mostly beginners) struggle helplessly while dealing with large data sets. They get haunted by repetitive warnings, error messages of insufficient memory …

Introduction In my last article, I discussed the fundamentals of deep learning, where I explained the basic working of a artificial neural network. If …

Overview Explanation of tree based modeling from scratch in R and python Learn machine learning concepts like decision trees, random forest, boosting, bagging, ensemble …

Introduction The power of artificial intelligence is beyond our imagination. We all know robots have already reached a testing phase in some of the …