AI与数据科学增长路径

GitHub Repository with Notes and Code from the eBook AboveAI and Data ScientistMathematicsLinear Algebra, Calculus, Mathematical AnalysisMathematics for Machine LearningCoursesDifferential CalculusCoursera: Algebra and Differential CalculusCourseStatisticsStatistics, CLTCoursera: Introduction to StatisticsCourseHypothesis Testing>Coursera: Hypothesis TestingCourseProbability and SamplingCoursera: Probability and StatisticsCourseAB TestingPractitioner’s Guide to Statistical TestsArticleExperiment Design ArticleArticleIncreasing Test SensitivityMinimum Detectable EffectArticlePaper: Improving Test SensitivityPaperPaper: Improving Sensitivity (CUPED)PaperCUPED at Booking.comArticleDoordash: CUPACArticleRatio MetricsMicrosoft: Delta Method in Metric AnalyticsPaperPaper: Ratio MetricsPaper>vv<^<EconometricsPre-requisites of EconometricsFundamentals of econometricsBookRegressions, time series, fitting distributionsIntro to EconometricsBookCoursera: EconometricsCourseKaggle — Learn Time SeriesCourseKaggle — Time Series BasicsTutorialARIMA Model for Time SeriesTutorialTime Series ModelsTutorialForecasting Task with SolutionOpenSource ProjectCoursera: Linear RegressionCoursevvCodingLearn Python Programming LanguageLearn Python - KaggleCourseGoogle’s Python ClassCourseAlgorithmic ExercisesTutorial + ChallengesStudy Plans - LeetcodeChallengesAlgorithms SpecializationCourseData Structures and Algorithms (Python)Learn SQLSQL TutorialCourse>Exploratory Data Analysis (EDA)Data understanding, Data Analysis, VizualisationExploratory Data Analysis With Python and PandasCourseExploratory Data Analysis for Machine LearningCourseExploratory Data Analysis with SeabornCourse>vMachine Learning<Classic ML (Sup. and Unsup.) Advanced ML (Ensembles, NNs)Open Machine Learning Course - OpenDataScienceCourseMachine Learning SpecializationCoursePattern Recognition & ML by Christopher m. bishopeBookvDeep LearningFully connected NN, CNN, RNN, LSTM, Transformers, Transfer LearningDeep Learning SpecializationCoursesDeep Learning BookeBookAttention is all you needPaperThe Illustrated TransformerArticlev><^MLOpsDeployment models, CI/CDMLOps SpecializationCoursesv><Keep LearningNetflix: StratificationPaper



请遵守《互联网环境法规》文明发言,欢迎讨论问题
扫码反馈

扫一扫,反馈当前页面

咨询反馈
扫码关注

站长云微信公众号

返回顶部