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Data Science for Innovation

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Related lectures (32)

Hyperloop Technology: From Startup to Global Expansion Log in to Mediaspace to watch this video

Explores the evolution of a startup into a global player in high-speed transportation technology, emphasizing the importance of innovation, investment, and team building.

Decision Trees: Classification Log in to Mediaspace to watch this video

Explores decision trees for classification, entropy, information gain, one-hot encoding, hyperparameter optimization, and random forests.

Hydroacoustics for Hydroelectric Installations Log in to Mediaspace to watch this video

Explores hydroacoustic simulation parameters, mass oscillation modeling, and validation errors in hydroelectric installations.

Opportunity Identification: Factors, Vision, and Innovation Log in to Mediaspace to watch this video

Explores factors influencing opportunity identification, the distinction between ideas and opportunities, and the tools for recognizing opportunities.

Model Complexity and Overfitting in Machine Learning Log in to Mediaspace to watch this video

Covers model complexity, overfitting, and strategies to select appropriate machine learning models.

Machine Learning Fundamentals: Overfitting and Regularization Log in to Mediaspace to watch this video

Covers overfitting, regularization, and cross-validation in machine learning, exploring polynomial curve fitting, feature expansion, kernel functions, and model selection.

Model Selection and Evaluation Log in to Mediaspace to watch this video

Discusses the experimental framework for selecting and evaluating supervised learning models to prevent overfitting.

Regression Trees and Ensemble Methods in Machine Learning Log in to Mediaspace to watch this video

Discusses regression trees, ensemble methods, and their applications in predicting used car prices and stock returns.

Machine Learning Fundamentals: Regularization and Cross-validation Log in to Mediaspace to watch this video

Explores overfitting, regularization, and cross-validation in machine learning, emphasizing the importance of feature expansion and kernel methods.

Cross-validation & Regularization Log in to Mediaspace to watch this video

Explores polynomial curve fitting, kernel functions, and regularization techniques, emphasizing the importance of model complexity and overfitting.

Scaling Startup Operations Log in to Mediaspace to watch this video

Explores pitching strategies, funding, competition differentiation, and scaling operations for startups, offering practical insights and examples.

Assessing Opportunities: Market, Timing, and Growth Log in to Mediaspace to watch this video

Covers core questions to assess opportunities for launching new ventures and emphasizes seizing windows of opportunity and charting firm growth options.

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