{"title":"Towards AI – Monte Carlo Tree Search","authors":"","doi":"10.1002/9781119404729.ch28","DOIUrl":"https://doi.org/10.1002/9781119404729.ch28","url":null,"abstract":"","PeriodicalId":296341,"journal":{"name":"Machine Learning and Big Data with kdb+/q","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134121159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Nearest Neighbours","authors":"","doi":"10.1002/9781119404729.ch21","DOIUrl":"https://doi.org/10.1002/9781119404729.ch21","url":null,"abstract":"","PeriodicalId":296341,"journal":{"name":"Machine Learning and Big Data with kdb+/q","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131387714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Simulating Asset Prices","authors":"","doi":"10.1002/9781119404729.ch18","DOIUrl":"https://doi.org/10.1002/9781119404729.ch18","url":null,"abstract":"","PeriodicalId":296341,"journal":{"name":"Machine Learning and Big Data with kdb+/q","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116983842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Linear Regression","authors":"David J. Olive","doi":"10.1002/9781119404729.ch13","DOIUrl":"https://doi.org/10.1002/9781119404729.ch13","url":null,"abstract":"Much of machine learning is about fitting functions to data. That may not sound like an exciting activity that will give us artificial intelligence. However, representing and fitting functions is a core building block of most working machine learning or AI systems. We start with linear functions, both because this idea turns out to be surprisingly powerful, and because it’s a useful starting point for more interesting models and methods.","PeriodicalId":296341,"journal":{"name":"Machine Learning and Big Data with kdb+/q","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115895597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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