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Matplotlib: Types of Graphs
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Excel Exercise: Trends
Explores trend analysis in Excel using rent data from 1995 to 2023.
Graphs in Deep Learning: Applications and Techniques
Explores the role of graphs in deep learning, focusing on their structure, applications, and techniques for processing graph data.
Annual Flood Flow Analysis: Gumbel Method
Covers the analysis of annual flood flows using the Gumbel method and practical applications in hydraulic engineering.
Pseudorandomness: Theory and Applications
Explores pseudorandomness theory, AI challenges, pseudo-random graphs, random walks, and matrix properties.
Real Functions: Graphs and Properties
Explores real functions, their graphs, properties, and transformations, including symmetry and surjection.
Data Visualization: Principles and Practices
Emphasizes the importance of data visualization techniques and practices for effective data analysis and communication.
Graphics: MATLAB and Octave for beginners
Introduces 2D graphics using MATLAB and Octave for beginners.
Iterated Integrals: Order and Domains
Explores iterated integrals, order, domains, and symmetrical roles of variables in 2D space.
Data Visualization: Excel Charts
Covers the basics of creating and customizing charts in Excel.
Graphical Models: Representing Probabilistic Distributions
Covers graphical models for probabilistic distributions using graphs, nodes, and edges.