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Курс от H2O.ai
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Practical Machine Learning on H2O
Курс от H2O.aiО курсе
In this course, we will learn all the core techniques needed to make effective use of H2O. Even if you have no prior experience of machine learning, even if your math is weak, by the end of this course you will be able to make machine learning models using a variety of algorithms. We will be using linear models, random forest, GBMs and of course deep learning, as well as some unsupervised learning algorithms. You will also be able to evaluate your models and choose the best model to suit not just your data but the other business restraints you may be under.
Навыки, которые вы освоите
AutoencodersDeep LearningData ManipulationApplied Machine LearningData Import/ExportAnomaly DetectionModel TrainingModel EvaluationUnsupervised LearningMachine Learning AlgorithmsClassification AlgorithmsMachine Learning SoftwareData ValidationDecision Tree LearningModel OptimizationMachine LearningSupervised LearningPredictive ModelingMachine Learning MethodsRandom Forest Algorithm
Программа курса
6 модулей · 103 учебных материалов
01H2O AND THE FUNDAMENTALS20 материалов
Course Introduction
Welcome!ВидеоPrerequisite Knowledge
What's In Week One?ВидеоNeed To KnowВидеоFurther Reading: Course PrerequisitesЧтениеУчитесь у экспертов
Darren Cook
Преподаватель курса