{"id":6517,"date":"2016-04-01T19:47:00","date_gmt":"2016-04-01T14:17:00","guid":{"rendered":"http:\/\/ivyproschool.com\/blog\/?p=6517"},"modified":"2025-04-01T15:04:13","modified_gmt":"2025-04-01T09:34:13","slug":"how-does-machine-learning-affect-our-cricketing-experience","status":"publish","type":"post","link":"https:\/\/ivyproschool.com\/blog\/how-does-machine-learning-affect-our-cricketing-experience\/","title":{"rendered":"How does Machine Learning affect our Cricketing experience?"},"content":{"rendered":"

\"Untitled
\n<\/a>
\nThe fever of the World Cup T20 is at its peak. Now waiting for the final results, a thought came into my mind, \u201cHow should teams prepare their players to face the opposition?\u201d.<\/p>\n

The obvious answer is using past Statistics of the opponent team and its players to derive data based decisions like->Who plays best on the no 3 position?<\/p>\n

>Which bowler to give the last over to, given the players on the crease?<\/p>\n

But Sports Analytics as they call it has been taken to another level now.<\/p>\n

The questions now asked are:<\/p>\n

>How fast a player moves,<\/p>\n

>How far he travelled during a runup<\/p>\n

Pathbreaking advent in technology has ensured that the experience of followers of the game has become finer and more nuanced. It is no longer just about what is happening on the field but about what happened on similar occasions in the past, and what could possibly happen given the past records of the team and the players. Insights like if Dwayne Bravo takes >2 wickets west indies win 9 out of 10 matches etc<\/p>\n

Machine Learning Video Analytics involving HMM based machine learning framework is used in Sports to discover knowledge, structures, patterns and events of interest in the video data.<\/p>\n

Although sports videos are non-scripted content, there are still definite or repetitive structures and patterns. Using these structures and patterns, we can develop some flexible and effective tools for video browsing\/indexing. Currently, there are two kinds of approaches for sports video mining,\u00a0structure-based and\u00a0event-based. The former uses either supervised or unsupervised learning to recognize some basic semantic structures (such as canonical view in a baseball game or play\/break in a soccer game) that can serve as an intermediate representation supporting semantics-oriented video retrieval, but usually cannot deliver high-level semantics directly. The latter one provides a better understanding of the video content by detecting and extracting the events-of-interest or the highlights, which could be very specific and task-dependent and requires sufficient and diverse training examples.<\/p>\n

 <\/p>\n

win predictors and insights like if Dwayne Bravo takes >2 wickets west indies win 9 out of 10 matches etc<\/p>\n

Infact, Machine Learning is going to enable Commentary by Robots!<\/p>\n

Sports Analytics continues to grow and they are being relied on heavily to improve the gaming experiences for the players as well as the audiences.<\/p>\n

Sources:<\/p>\n

http:\/\/gadgets.ndtv.com\/<\/p>\n

Handbook of Research on Machine Learning Applications and Trends: Algorithms, methods and Techniques<\/p>\n","protected":false},"excerpt":{"rendered":"

The fever of the World Cup T20 is at its peak. Now waiting for the final results, a thought came into my mind, \u201cHow should teams prepare their players to face the opposition?\u201d. The obvious answer is using past Statistics of the opponent team and its players to derive data based decisions like->Who plays best on the no 3 position? >Which bowler to give the last over to, given the players on the crease? But Sports Analytics as they call it has been taken to another level now. The questions now asked are: >How fast a player moves, >How far he travelled during a runup Pathbreaking advent in technology has ensured that the experience of followers of the game has become finer and more nuanced. It is no longer just about what is happening on the field but about what happened on similar occasions in the past, and what could possibly happen given the past records of the team and the players. Insights like if Dwayne Bravo takes >2 wickets west indies win 9 out of 10 matches etc Machine Learning Video Analytics involving HMM based machine learning framework is used in Sports to discover knowledge, structures, patterns and events […]<\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[],"class_list":["post-6517","post","type-post","status-publish","format-standard","hentry","category-data-analytics"],"yoast_head":"\nNew Insights from Machine Learning: Revolutionizing Business Intelligence<\/title>\n<meta name=\"description\" content=\"Explore how machine learning is transforming business intelligence, from predictive models in banking to advancements in medical imaging and social media insights.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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