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Related lectures (31)

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Functional Decomposition: Pattern Matching

Covers functional decomposition with pattern matching in Scala to access heterogeneous data in a class hierarchy.

Knowledge Management: Disaster Risk Reduction

Delves into knowledge management for disaster risk reduction, emphasizing education, evaluation, and technology adaptation.

Academic Promotion Process: Enhancements and Challenges

Explores changes in academic promotion processes, emphasizing the introduction of student recommendation letters for professors and addressing challenges of bias and evaluation methods.

Dataflow: Execution Models for Distributed Computing

Explores the data flow model for distributed computing using RDDs in Spark.

Peer Review in Essay Writing

Highlights the significance of peer review for improving essay quality through critical evaluation of content, form, structure, and language.

Higher-Order Functions Using Naive Substitutions

Explores higher-order functions, environments, evaluation using substitution, and examples like twice factorial.

Common Exam vs Common Requirements

Explores the pros and cons of common academic standards and evaluations.

Programming Models: Overview and Examples

Explores programming models for big data processing, including Spark's RDDs and optimizations.

Compiler Extension Lab

Covers the Compiler Extension Lab, focusing on adding new functionality to a simple functional language compiler.

Back-propagation: Understanding Neural Networks

Explains back-propagation in neural networks, updating weights based on errors and evaluating networks through training and test losses.