机器学习基础（双语）Foundations of Machine LearningFoundations of Machine LearningLesson 1 - 1Requirements考勤： 10 分作业： 10 分实验： 20 分期末考试： 60 分Foundations of Machine LearningLesson 1 - 2ContentsPythonLinear RegressionLinear Model for ClassificationDecision TreekNN and BayesSupport Vector MachineEnsemble LearningClustering MethodsReinforcement LearningArtificial Neural NetworksApplications of Machine LearningFoundations of Machine LearningBasics of Python ( 一 )College of Computer and Information ScienceFujian Agriculture and Forestry UniversityYiwen ZhongFoundations of Machine LearningBasics of python ( 一 )Installation, usage, and featuresData and operationControl flowFunctionModuleData structures…Foundations of Machine LearningLesson 1 - 5Installation （安装 Python ）Installation on Windows （ Windows 环境下的安装）Visit https://www.python.org/downloads/ and download the latest version. The installation is just like any other Windows-based software.使用 anacondaAnaconda 是一个开源的包、环境管理器，可以用于在同一个机器上安装不同版本的软件包及其依赖，并能够在不同的环境之间切换Anaconda 包括 Conda 、 Python 以及一大堆安装好的工具包，比如： numpy 、 pandas 等https://www.anaconda.com/Foundations of Machine LearningLesson 1 - 6使用方式Using The Interpreter Prompt （利用解释器）print("Hello World“)Choosing An Editor to edit source file （编辑源程序文件） and Using A Source File （在命令行运行源程序文件）Edit source file and save it as .pyOpen a terminal windowChange directory to where you saved the file, for example, cd /tmp/pyRun the program by entering the command python hello.py. Use IDLE (Integrated Development and Learning Environment)Foundations of Machine LearningLesson 1 - 7Features of PythonFeatures of Python (Python 的特色 )Simple ( 简单 )Easy to Learn (...
