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Related lectures (11)

Signal Representations

Covers matrix operations, Fourier transformations, Gaussian models, and signal representations using algebraic methods.

From AdS/CFT to Soft Theorems

Explores the transition from AdS/CFT to soft theorems in flat space physics, including the construction of scattering states and the application of Weinberg soft theorems.

Signal Representation

Discusses signal representation, focusing on mathematical expressions and inequalities in signal processing.

Deep Visual Recognition: Interpretability

Explores deep visual recognition, interpretability, CNN architectures, visual dictionaries, and attention mechanisms.

Signal Representations

Covers signal representations in Hilbert Spaces and the importance of orthogonality.

Python Programming: Dictionaries and Classes

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

Dictionary Operations

Covers operations and methods related to dictionaries in Python, including creating, updating, and handling key errors.

File Management and Exception Handling in Python

Focuses on file management and exception handling in Python programming.

Programming Basics: Dictionaries and Classes

Introduces the basics of programming with a focus on dictionaries and classes in Python.

Python Programming: List Comprehensions and Higher Order Functions

Explores advanced Python programming concepts, focusing on list comprehensions and higher order functions.

Tuples, Sets, and Dictionaries

Covers tuples, sets, and dictionaries in Python, explaining their similarities and differences, common operations, and key concepts.

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