Machine learning and deep learning handbook
➤ Gửi thông báo lỗi ⚠️ Báo cáo tài liệu vi phạmNội dung chi tiết: Machine learning and deep learning handbook
Machine learning and deep learning handbook
A Machine Learning PrimerMihail Erie ftmihail ericTable of ContentsSupervised LearningLinear Regression - Page 1Logist ic Regression - Page 8Naive Bay Machine learning and deep learning handbook yes - Page 12Support Vector Machines - Page 15Decision Trees - Page 21K-Ncarest Neighbors - Page 32Machine Learning in PracticeBias-Variance Thuleoff - Page 36How to Select a Model - Page 43How to Select Features - Page 48Regularizing Your Model - Page 52Enscmbliiig: How to Combine Your Models - Pag Machine learning and deep learning handbook e 56Evaluation Metrics - Page 62Unsupervised LearningMarket Basket .Analysis - Page 66K-Mcans Clustering - Page 70Principal Components Analysis - PageMachine learning and deep learning handbook
75Deep LearningFeedforward Neural Networks - Page 80Grab Bag of Neural Network Practices - Page 90Convolut ional Neural Networks - Page 99Recurrent NA Machine Learning PrimerMihail Erie ftmihail ericTable of ContentsSupervised LearningLinear Regression - Page 1Logist ic Regression - Page 8Naive Bay Machine learning and deep learning handbook t common and widely used machine learning techniques: linear regression.Linear regression is a very intuitive supervised learning algorithm and as its mime suggests, it is II regression technique. This means it is used when we have Libels that arc continuous values such as car prices or the temperat Machine learning and deep learning handbook ure in a room. Furthermore, as its name also suggests, linear regression seeks to find fits of data that are lines. What does this mean?MotivationsImaMachine learning and deep learning handbook
gine that you received a data set consisting of cars, where for each car you had the number of miles 11 car had driven along with its price. In this cA Machine Learning PrimerMihail Erie ftmihail ericTable of ContentsSupervised LearningLinear Regression - Page 1Logist ic Regression - Page 8Naive Bay Machine learning and deep learning handbook en along with its associated price.Here for a given car, the miles driven is rhe input and rhe price is the output. This data could be represented as (X. Y) coordinates.Plotting them on a 2 d coordinate system, this data could might look like Figure 2. Machine learning and deep learning handbook A Machine Learning PrimerMihail Erie ftmihail ericTable of ContentsSupervised LearningLinear Regression - Page 1Logist ic Regression - Page 8Naive BayGọi ngay
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