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Курс от Google Cloud, New York Institute of Finance
courseraАнализ данных
Introduction to Trading, Machine Learning & GCP
Курс от Google Cloud, New York Institute of FinanceО курсе
In this course, you’ll learn about the fundamentals of trading, including the concept of trend, returns, stop-loss, and volatility. You will learn how to identify the profit source and structure of basic quantitative trading strategies. This course will help you gauge how well the model generalizes its learning, explain the differences between regression and forecasting, and identify the steps needed to create development and implementation backtesters. By the end of the course, you will be able to use Google Cloud Platform to build basic machine learning models in Jupyter Notebooks. To be successful in this course, you should have advanced competency in Python programming and familiarity with pertinent libraries for machine learning, such as Scikit-Learn, StatsModels, and Pandas. Experience with SQL is recommended. You should have a background in statistics (expected values and standard deviation, Gaussian distributions, higher moments, probability, linear regressions) and foundational knowledge of financial markets (equities, bonds, derivatives, market structure, hedging).
Навыки, которые вы освоите
Artificial Neural NetworksMachine LearningFinancial TradingDeep LearningGoogle Cloud PlatformApplied Machine LearningMachine Learning AlgorithmsSecurities TradingSupervised LearningModel EvaluationTime Series Analysis and ForecastingMachine Learning SoftwareFinanceCloud PlatformsModel OptimizationArtificial Intelligence and Machine Learning (AI/ML)Statistical Machine LearningMachine Learning MethodsModel TrainingTechnical Analysis
Программа курса
4 модулей · 61 учебных материалов
01Introduction to Trading with Machine Learning on Google Cloud32 материалов
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Jack Farmer
Curriculum Director