Search results
Results From The WOW.Com Content Network
Major advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, less-intuitively, the availability of high-quality training datasets. [1] High-quality labeled training datasets for supervised and semi-supervised machine learning algorithms are usually difficult and expensive to ...
The Orange Cap is awarded to the top run-scorer in the IPL during a season. It is an ongoing competition with the leader wearing the cap throughout the tournament until the final game, with the eventual winner keeping the cap for the season. [41] The Purple Cap is awarded to the top wicket-taker in the IPL during a season. It is an ongoing ...
The 2024 Indian Premier League (also known as IPL 17 and branded as TATA IPL 2024) was the 17th edition of the Indian Premier League. The tournament featured ten teams competing in 74 matches from 22 March to 26 May 2024. It was held across 13 cities in India, with Chennai hosting the opening ceremony and the final as the defending champions.
Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning. In this formalism, a classification or regression decision tree is used as a predictive model to draw conclusions about a set of observations.
The most publicly known application of machine learning in games is likely the use of deep learning agents that compete with professional human players in complex strategy games. There has been a significant application of machine learning on games such as Atari/ALE, Doom, Minecraft, StarCraft, and car racing. [1]
The Indian Premier League, also known as IPL and Tata IPL for sponsorship reasons, is a men's Twenty20 cricket league held annually in India.Founded by the BCCI in 2007, the league features ten state or city-based franchise teams.
The 2019 Indian Premier League season (also known as IPL 12) was the twelfth season of the Indian Premier League, a professional Twenty20 cricket league established by the Board of Control for Cricket in India (BCCI) in 2007.
In a classification task, the precision for a class is the number of true positives (i.e. the number of items correctly labelled as belonging to the positive class) divided by the total number of elements labelled as belonging to the positive class (i.e. the sum of true positives and false positives, which are items incorrectly labelled as belonging to the class).