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Related lectures (30)
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Linear Applications: Definitions and Properties
Explores the definition and properties of linear applications, focusing on injectivity, surjectivity, kernel, and image, with a specific emphasis on matrices.
Linear Applications: Kernel and Preimage (Part 2)
Explores the kernel of a linear transformation and the concept of preimage.
Linear Transformation: Matrix Determination and Subspaces
Covers the determination of a matrix associated with a linear transformation and the concepts of kernel and image.
Linear Applications: Definitions and Matrices
Covers the definition of linear applications in IR³ to R³ and explores examples and properties.
Rank Theorem: Part 2
Delves into the Rank Theorem's implications for linear transformations and mappings.
Data Science Visualization with Pandas
Covers data manipulation and exploration using Python with a focus on visualization techniques.
Cohomology Groups: Hopf Formula
Explores the Hopf formula in cohomology groups, emphasizing the 4-term exact sequence and its implications.
HexHive: Research and Impact
Explores the HexHive project's research questions, bug pruning techniques, and industry collaborations, showcasing its impactful alumni.
Dimension Calculation in Linear Algebra
Covers the calculation of dimensions in linear algebra, focusing on determining the dimension of the kernel of a given matrix.
Object-Oriented Programming Fundamentals
Covers the basics of object-oriented programming in Python, including objects, classes, inheritance, and input/output handling.
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