SVM: Generalization & Confidence

Related lectures (29)

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Covers Python basics, Git, control structures, functions, file handling, and debugging using PDB.

Covers Python basics, threading, shared data issues, and deadlock prevention.

Delves into the importance of data and its implications.

Discusses advanced types in C, including enumerated types, typedefs, and structures, with practical examples to illustrate their usage.

Covers fundamental programming concepts and highlights the importance of modular code design.

Introduces Coq, an interactive theorem assistant based on the Curry-Howard isomorphism.

Introduces Python programming basics, covering data types, operators, variables, functions, and code tracing.

Introduces the course structure and fundamental concepts of machine learning, including supervised learning and linear regression.

Introduces Python programming concepts, focusing on dictionaries and classes, including their definitions, usage, and practical examples.

Explores challenges and solutions in analyzing big multi-dimensional data, focusing on complex data types and anomaly detection.