Category
Statistical sampling
Related lectures (358)
Natural Language Generation: Decoding & Training
Explores challenges in natural language generation, decoding algorithms, training issues, and reward functions.
Data Issues in Research
Explores challenges in data assumptions, biases, and more in research, including incomplete write-ups and frustrations of newcomers.
Spatial Sampling: Concepts and Techniques
Covers spatial sampling in GIS, including autocorrelation, elevation models, and interpolation methods.
Estimation Methods: BLP and Control-Function
Covers the inconsistency in estimates due to endogeneity and introduces the BLP and Control-Function estimation methods.
Approximate Query Processing: BlinkDB
Introduces BlinkDB, a framework for approximate query processing using sampling techniques.
Fourier Transform and Sampling
Covers the Fourier transform of sampled signals, reconstruction, and harmonic response.
Natural Language Generation: Decoding Techniques and Training Challenges
Covers decoding methods and training challenges in natural language generation.
Wireless Receivers: Time and Phase Offset
Covers the impact and compensation of time and phase offset in wireless receivers.
Digital Signal Processing: Theory
Covers the theory of digital signal processing, including sampling, transformation methods, digitization, and PID controllers.
Monte Carlo Techniques: Sampling and Simulation
Explores Monte Carlo techniques for sampling and simulation, covering integration, importance sampling, ergodicity, equilibration, and Metropolis acceptance.