Data Representation: Models and Systems

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Related lectures (30)

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Maximum Likelihood: Inference and Model Comparison

Explores maximum likelihood inference, model selection, and comparing models using likelihood ratios.

Finite Element Methodology

Explores finite element methodology, covering geometric modeling, technical data, physical behavior assumptions, and mesh convergence studies.

Neurophysiological Data Analysis

Explores neurophysiological data analysis, covering AP identification, firing rates, subthreshold activity, FFT spectral analysis, and event-triggered analysis using MATLAB.

Data Analysis to AI and ML, Social Media

Explores the evolution from data analysis to AI and ML, emphasizing big data, machine learning, and social media interaction.

Sustainable Resilient Value Chains: Circular Economy Insights

Covers the transition to circular economy and sustainable value chains in manufacturing.

Functions and Lists: Complements and Manipulation

Explores functions' complements, parameter order, and list manipulation, including counting occurrences and solving the '100 prisoners problem'.

Extended Josephson Junctions: Modeling and Critical Current

Covers the magnetic thickness, short and long junctions, and critical current.

Excel Upgrade: Advanced Functions and Data Analysis

Covers advanced Excel functions and data analysis techniques, including automatic recording and using Solver.

Image Processing Techniques: Seam Carving and Pixel Manipulation

Discusses image processing techniques, focusing on seam carving and pixel manipulation in Python programming.

Structured Data: C++

Covers structured data representation, arrays, structures, variable declaration, initialization, and functions with multiple return values.