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Hands-On Data Science for Biologists Using Python最新文献

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Neural Nets and Deep Learning 神经网络和深度学习
Hands-On Data Science for Biologists Using Python Pub Date : 2021-04-02 DOI: 10.1201/9781003090113-13-13
Y. Hasija, Rajkumar Chakraborty
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引用次数: 2
Decision Trees and Random Forests 决策树和随机森林
Hands-On Data Science for Biologists Using Python Pub Date : 2021-04-02 DOI: 10.1201/9781003090113-11-11
Y. Hasija, Rajkumar Chakraborty
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引用次数: 0
Natural Language Processing 自然语言处理
Hands-On Data Science for Biologists Using Python Pub Date : 2021-04-02 DOI: 10.1201/9781003090113-15-15
Y. Hasija, Rajkumar Chakraborty
{"title":"Natural Language Processing","authors":"Y. Hasija, Rajkumar Chakraborty","doi":"10.1201/9781003090113-15-15","DOIUrl":"https://doi.org/10.1201/9781003090113-15-15","url":null,"abstract":"","PeriodicalId":299784,"journal":{"name":"Hands-On Data Science for Biologists Using Python","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125724394","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}
引用次数: 0
Principal Component Analysis 主成分分析
Hands-On Data Science for Biologists Using Python Pub Date : 2021-04-02 DOI: 10.1201/9781003090113-6-6
Y. Hasija, Rajkumar Chakraborty
{"title":"Principal Component Analysis","authors":"Y. Hasija, Rajkumar Chakraborty","doi":"10.1201/9781003090113-6-6","DOIUrl":"https://doi.org/10.1201/9781003090113-6-6","url":null,"abstract":"","PeriodicalId":299784,"journal":{"name":"Hands-On Data Science for Biologists Using Python","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126882869","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}
引用次数: 0
Support Vector Machines 支持向量机
Hands-On Data Science for Biologists Using Python Pub Date : 2021-04-02 DOI: 10.1201/9781003090113-12-12
Y. Hasija, Rajkumar Chakraborty
{"title":"Support Vector Machines","authors":"Y. Hasija, Rajkumar Chakraborty","doi":"10.1201/9781003090113-12-12","DOIUrl":"https://doi.org/10.1201/9781003090113-12-12","url":null,"abstract":"Introduction SVMs deliver state-of-the-art performance in real-world applications such as text categorisation, handwritten character recognition, image classification, biosequences analysis, etc., and are now established as one of the standard tools for machine learning and data mining. A support vector machine (SVM) is a concept in computer science for a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis. The standard SVM takes a set of input data and predicts, for each given input, which of two possible classes comprises the input, making the SVM a non-probabilistic binary linear classifier. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples into one category or the other. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall on.","PeriodicalId":299784,"journal":{"name":"Hands-On Data Science for Biologists Using Python","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124055387","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}
引用次数: 0
Biopython
Hands-On Data Science for Biologists Using Python Pub Date : 1900-01-01 DOI: 10.1201/9781003090113-3-3
Y. Hasija, Rajkumar Chakraborty
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引用次数: 13
Logistic Regression 逻辑回归
Hands-On Data Science for Biologists Using Python Pub Date : 1900-01-01 DOI: 10.1201/9781003090113-9-9
Y. Hasija, Rajkumar Chakraborty
{"title":"Logistic Regression","authors":"Y. Hasija, Rajkumar Chakraborty","doi":"10.1201/9781003090113-9-9","DOIUrl":"https://doi.org/10.1201/9781003090113-9-9","url":null,"abstract":"","PeriodicalId":299784,"journal":{"name":"Hands-On Data Science for Biologists Using Python","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134478767","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}
引用次数: 0
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