Data Science for Cricket
Authored by Raghunathan Rengaswamy, IIT Madras Data Science, ML, AI are the flavors of the season all over the world and India is no exception. Interest in these techniques is at a fever pitch; academicians and industrial practitioners alike are exploring the fundamental underpinnings and application potential of these techniques. As a result, data science is being evaluated for implementation in all imaginable fields and sub-fields. Sports is one such area with tremendous potential for data science applications. While sports analytics has been around for a long time, sabermetrics being a prime example, the scale of what can be achieved now with analytics is quite stupendous. Disparate data from various sources can be collected and analyzed towards making decisions regarding almost all aspects of any sport. Take cricket, which is the focus of this blog, as an example. Ball-by-ball commentary, video feed, bats that are actual Io...