I’ve spent time over the last few months attempting to enhance my skills in the statistical sub-field of causal inference. Overly simplified, causal inference comprises… Read More »Mixing & Matching in R for Data Science
This article was posted by Dean Attali. Dean is currently an R-Shiny consultant. Shiny is a package from RStudio that can be used to build interactive web… Read More »Building Shiny Apps: Tutorial
Most of the literature we find on machine learning talks about two types of learning techniques – supervised and unsupervised. Supervised learning is where we have a… Read More »Reinforcement Learning: Super Mario, AlphaGo and beyond
By Ajit Jaokar and Cheuk Ting Ho. Exclusively for Data Science Central members, with free access. You can download this book (PDF) here. Introduction Enterprise… Read More »Free eBook: Enterprise AI – An Applications Perspective
Recommendations and Feedbacks The vast majority of B2C services are quickly discovering the strategic importance of solid recommendation engines to improve the conversion rates and… Read More »Recommendations and User-Profiling from Implicit Feedbacks
As we all know in today’s world of quick results and insights nobody wants to spend time in understanding the core concepts of certain statistical… Read More »R Squared Value Demystified
Cognitive Computing is often used interchangeably with artificial intelligence, not that it’s entirely incorrect. MIT Sloan School of Business, for instance, defines the term as… Read More »Breaking Down Cognitive Computing | What’s it all about?
Summary: A defensible data strategy increasingly defines those AI businesses that will be successful. VCs know this and are steering the funding to this strategy. … Read More »What Makes a Successful AI Company – Data Dominance
Describing and picturing MLAlgos and Machine Learning is the main idea of this post. I will attempt to answer few basic questions as well. Though… Read More »Machine Learning and Its Algorithms to Know – MLAlgos
In earlier days, solutions were associated with getting the technology right. The key was technology, the solution was technology and the business expected and paid… Read More »What is DevOps ?
