Pub Date : 2019-11-04DOI: 10.1002/9781119404729.ch28
{"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}
Pub Date : 2019-11-04DOI: 10.1002/9781119404729.ch21
{"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}
Pub Date : 2019-11-04DOI: 10.1002/9781119404729.ch18
{"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}
Pub Date : 2017-05-17DOI: 10.1002/9781119404729.ch13
David J. Olive
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.
{"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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