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Machine Learning With Big Data · LearnSpace
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Machine Learning With Big Data

Курс от University of California San Diego
Уровень не указан≈ 20.1 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Want to make sense of the volumes of data you have collected? Need to incorporate data-driven decisions into your process? This course provides an overview of machine learning techniques to explore, analyze, and leverage data. You will be introduced to tools and algorithms you can use to create machine learning models that learn from data, and to scale those models up to big data problems. At the end of the course, you will be able to: • Design an approach to leverage data using the steps in the machine learning process. • Apply machine learning techniques to explore and prepare data for modeling. • Identify the type of machine learning problem in order to apply the appropriate set of techniques. • Construct models that learn from data using widely available open source tools. • Analyze big data problems using scalable machine learning algorithms on Spark. Software Requirements: Cloudera VM, KNIME, Spark

Навыки, которые вы освоите

Classification AlgorithmsApache SparkModel EvaluationUnsupervised LearningExploratory Data AnalysisData PreprocessingRegression AnalysisDescriptive StatisticsMachine LearningMachine Learning AlgorithmsMachine Learning SoftwareData AnalysisBig DataData MiningData TransformationModel TrainingApplied Machine LearningStatistical AnalysisData WranglingMachine Learning Methods

Программа курса

7 модулей · 96 учебных материалов

01Welcome4 материалов

Machine Learning with Big Data

Welcome to Machine Learning With Big DataВидеоSummary of Big Data Integration and ProcessingВидеоGetting to Know You: Tell us about yourself and why you are taking this course.ОбсуждениеDiscussion Forum for Course Content IssuesОбсуждение
02Introduction to Machine Learning with Big Data

Учитесь у экспертов

Mai Nguyen

Lead for Data Analytics

Ilkay Altintas

Chief Data Science Officer

Machine Learning With Big Data
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 20.1 ч

7 модулей

Язык: Английский

Субтитры: Арабский, Французский, Бенгальский, Узбекский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Вьетнамский, Нидерландский, Корейский, Ория, Немецкий, Пушту, Урду, Русский, Тайский, Индонезийский, Шведский, Турецкий, Азербайджанский, Испанский, Дари, Хинди, Японский, Казахский, Венгерский, Польский

Часть программы вашего университета
15 материалов

Machine Learning Overview and Applications

Machine Learning OverviewВидеоCategories Of Machine Learning TechniquesВидеоSlides: Machine Learning Overview and ApplicationsЧтениеMachine Learning in Everyday LifeОбсуждение

Machine Learning Process

Machine Learning ProcessВидеоGoals and Activities in the Machine Learning ProcessВидеоCRISP-DMВидео

Scalability and Tools

Scaling Up Machine Learning AlgorithmsВидеоTools Used in this CourseВидеоMachine Learning OverviewЗадание

Hands-On: Setting Up Your Software Environment

Downloading and Installing Docker Desktop InstructionsЧтениеInstroduction to Jupyter NotebooksЧтениеDownloading Hands-On MaterialsЧтениеBasic terminal shell commandsЧтениеDownloading, Installing and Using KNIMEЧтение
03Data Exploration13 материалов

Data Exploration

Data TerminologyВидеоData ExplorationВидеоData Exploration through Summary StatisticsВидеоData Exploration through PlotsВидеоWhat's Wrong with Pie Charts?ОбсуждениеSlides: Data Exploration Overview and TerminologyЧтениеData ExplorationЗадание

Hands-On: Activities for Data Exploration

Description of Daily Weather DatasetЧтениеExploring Data with KNIME PlotsЧтениеExploring Data with KNIME PlotsВидеоData Exploration in SparkЧтениеData Exploration in SparkВидеоData Exploration in KNIME and Spark QuizЗадание
04Data Preparation15 материалов

Data Preparation for Machine Learning

Data PreparationВидеоData QualityВидеоQuality Issues with Real DataОбсуждениеAddressing Data Quality IssuesВидеоFeature SelectionВидеоFeature TransformationВидеоDimensionality ReductionВидеоDomain Knowledge in Data PreparationОбсуждениеData PreparationЗаданиеSlides: Data Preparation for Machine LearningЧтение

Hands-On

Handling Missing Values in KNIMEЧтениеHandling Missing Values in KNIMEВидеоHandling Missing Values in SparkЧтениеHandling Missing Values in SparkВидеоHandling Missing Values in KNIME and Spark QuizЗадание
05Classification16 материалов

What is Classification?

ClassificationВидеоBuilding and Applying a Classification ModelВидеоSlides: What is Classification?Чтение

Classification Algorithms

Classification AlgorithmsВидеоk-Nearest NeighborsВидеоDecision TreesВидеоNaïve BayesВидеоSlides: Classification AlgorithmsЧтениеClassificationЗадание

Hands-On

Classification using Decision Tree in KNIMEЧтениеClassification using Decision Tree in KNIMEВидеоInterpreting a Decision Tree in KNIMEЧтениеClassification in SparkЧтениеClassification in SparkВидеоWhy Exclude Relative Humidity?Обсуждение
06Evaluation of Machine Learning Models16 материалов

Overfitting: What is it and how would you prevent it?

Generalization and OverfittingВидеоOverfitting in Decision TreesВидеоUsing a Validation SetВидеоSlides: Overfitting: What is it and how would you prevent it?Чтение

Model evaluation metrics and methods

Metrics to Evaluate Model PerformanceВидеоConfusion MatrixВидеоModel Interpretability vs. AccuracyОбсуждениеSlides: Model evaluation metrics and methodsЧтениеModel EvaluationЗадание

Hands-On

Evaluation of Decision Tree in KNIMEЧтениеEvaluation of Decision Tree in KNIMEВидеоCompleted KNIME WorkflowsЧтениеEvaluation of Decision Tree in SparkЧтениеEvaluation of Decision Tree in SparkВидеоComparing Classification Results for KNIME and SparkЧтение
07Regression, Cluster Analysis, and Association Analysis17 материалов

Regression

Regression OverviewВидеоLinear RegressionВидеоSlides: RegressionЧтение

Cluster Analysis

Cluster AnalysisВидеоk-Means ClusteringВидеоSlides: Cluster AnalysisЧтениеClustering ApplicationsОбсуждение

Association Analysis

Association AnalysisВидеоAssociation Analysis in DetailВидеоSlides: Association AnalysisЧтениеApplications of Association AnalysisОбсуждениеMachine Learning With Big Data - Final RemarksВидеоRegression, Cluster Analysis, & Association AnalysisЗадание

Hands-On

Description of Minute Weather DatasetЧтениеCluster Analysis in SparkЧтениеCluster Analysis in SparkВидеоCluster Analysis in Spark QuizЗадание
Classification in KNIME and Spark QuizЗадание
Model Evaluation in KNIME and Spark QuizЗадание