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Machine Learning for Marketers · LearnSpace
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Machine Learning for Marketers

Курс от University of Colorado System
Средний≈ 22 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

"Machine Learning for Marketers" is an advanced course tailored for professionals looking to integrate machine learning into their marketing strategies. This course uniquely focuses on both predictive analytics and decision-making, using supervised learning methods to analyze and forecast customer behavior. Participants will learn to implement advanced machine learning techniques, enhancing the accuracy of predictions and informing better marketing decisions. The course also covers campaign analysis through rigorous testing methods like cross-validation, ensuring the reliability of marketing strategies. A key feature of this course is its coverage of unsupervised learning algorithms, enabling learners to uncover hidden patterns in marketing data for sophisticated customer segmentation and market analysis. Additionally, the course discusses optimizing product positioning using dimensionality reduction techniques and improving personalized customer experiences through recommender system technology.

Навыки, которые вы освоите

Model EvaluationClassification And Regression Tree (CART)Unsupervised LearningSupervised LearningDimensionality ReductionMachine LearningCustomer AnalysisStrategic MarketingPredictive ModelingAdvanced AnalyticsMarketing AnalyticsPersonalized ServiceAI PersonalizationApplied Machine LearningCustomer experience improvementPredictive AnalyticsCustomer InsightsData-Driven MarketingMarketing StrategiesData-Driven Decision-Making

Программа курса

4 модулей · 84 учебных материалов

01Supervised Learning for Strategic Marketing21 материалов

Supervised Learning

A Note About Readings & R-ScriptsЧтениеSupervised LearningВидеоSupervised Learning QuizЗаданиеPrediction Model Performance EvaluationВидео

Учитесь у экспертов

A.W. Lukens

Course Developer

Tony Cox, Jr.

Преподаватель курса

Ric Mills

Преподаватель курса

Machine Learning for Marketers
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Новые знания — в удобное для вас время.

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Обучение откроется на Coursera
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Обучение на Coursera

≈ 22 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Испанский, Японский, Казахский, Венгерский

Часть программы вашего университета
Prediction Model Performance Evaluation QuizЗадание

Cross-Validation

Cross-Validation (CV)ВидеоCross-Validation (CV) QuizЗаданиеK-Fold Cross-Validation (CV)ВидеоModel DriftЧтениеK-Fold Cross-Validation (CV) QuizЗадание

Visualizing Model Comparisons

Improving Predictions with Supervised LearningВидеоImproving Predictions with Supervised Learning QuizЗаданиеVisualizing Model ComparisonsВидеоRoot Mean Squared Error (RMSE)ЧтениеVisualizing Model Comparisons QuizЗаданиеCART Trees: Finding an Informative SplitВидеоCART TreesЧтениеR-Scripts - CART TreesЧтениеMall_Customers.csvЧтениеCART Trees: Finding an Informative Split QuizЗадание

Module 1 Graded Quiz

Module 1 Graded QuizЗадание
02CART Tree Analysis18 материалов

Regression Trees

Regression Trees: Growing Larger TreesВидеоRegression TreesЧтениеRegression Trees: Growing Larger Trees QuizЗаданиеReading CART TreesВидеоReading CART Trees QuizЗадание

Classification Trees

Classification Trees: Part 1ВидеоR-Scripts - Supervised Learning - CART and Random ForestЧтение TelcoChurn.csvЧтениеClassification Trees: Part 1 QuizЗаданиеClassification Trees: Part 2ВидеоRandomForestЧтениеClassification Trees: Part 2 QuizЗадание

Causal Trees

Using Classification Trees and Causal Trees for Prediction, Explanation, and TargetingВидеоCausal Trees, Forests, & HTE ModelsЧтениеUsing Classification Trees and Causal Trees for Prediction, Explanation, and Targeting QuizЗаданиеOptimal Targeting Using Causal TreesВидеоOptimal Targeting Using Causal Trees QuizЗадание

Module 2 Graded Quiz

Module 2 Graded QuizЗадание
03Improving the Accuracy of Predictions23 материалов

Confusion Matrix

Accuracy and Confusion Matrix for a ClassifierВидеоConfusion MatrixЧтениеR-Scripts - Supervised Learning for Continuous Dependent Variable (“Regression”)ЧтениеMall_Customers.csvЧтениеR-Scripts - Supervised Learning for Discrete Dependent Variable (“Classification”)ЧтениеTelcoChurn.csvЧтениеAccuracy and Confusion Matrix for a Classifier QuizЗаданиеOther Supervised Learning Algorithms: RF, GBMВидеоSupervised Machine Learning AlgorithmsЧтениеOther Supervised Learning Algorithms: RF, GBM QuizЗаданиеMultiple Adaptive Regression Splines (MARS)ВидеоMultiple Adaptive Regression Splines (MARS)ЧтениеMultiple Adaptive Regression Splines (MARS) QuizЗадание

Combining and Comparing Models

Support Vector Machines (SVMs)ВидеоSupport Vector Machines (SVMs)ЧтениеSupport Vector Machines (SVMs) QuizЗаданиеK Nearest Neighbors (KNN), Naïve Bayes (NB), and Deep LearningВидеоNaïve Bayes, Neural Networks, and Deep LearningЧтениеK Nearest Neighbors (KNN), Naïve Bayes (NB), and Deep Learning QuizЗадание

Module 3 Graded Quiz

Module 3 Graded QuizЗадание
04Unsupervised Learning22 материалов

Principal Components Analysis

Unsupervised Learning: IntroductionВидеоClusteringЧтениеR-Scripts - Create and Display K-Means ClustersЧтениеUnsupervised Learning: Introduction QuizЗаданиеPrincipal Components Analysis (PCA) and BiplotsВидеоPrincipal Components Analysis (PCA), Perceptual Maps, and Nonlinear Alternatives to PCAЧтениеR-Scripts - CorrelationsЧтениеR-Scripts - Principal Components Analysis (PCA) and BiplotsЧтениеPrincipal Components Analysis (PCA) and Biplots QuizЗаданиеInterpreting BiplotsВидеоInterpreting Biplots QuizЗадание

Perceptual Maps and Factor Analysis

Perceptual MapsВидеоPerceptual Maps QuizЗаданиеHidden Causes: Factor AnalysisВидеоFactor AnalysisЧтениеR-Scripts - Factor AnalysisЧтениеHidden Causes: Factor Analysis QuizЗаданиеRecommendation Systems: Main Ideas

Module 4 Graded Quiz

Module 4 Graded QuizЗадание
Combining and Comparing Models: Stacked Learning and Model ComparisonsВидео
Superlearning/ Stacked LearningЧтение
Combining and Comparing Models: Stacked Learning and Model Comparisons QuizЗадание
Видео
Recommendation Engines and Matrix FactorizationЧтение
R-Scripts - Matrix Factorization For Recommendation SystemsЧтение
Recommendation Systems: Main Ideas QuizЗадание