VLSI Data Conversion Circuits
Comprehensive exploration of data conversion circuits, covering sampling, quantization, delta-sigma modulation, ADC/DAC architectures, and advanced techniques for improving performance and accuracy.
Tractable Novelty Exploration Over Continuous and Discrete Sequential Decision Problems
Explore cutting-edge width-based planning algorithms for sequential decision problems, covering continuous dynamics, polynomial approximations of novelty, and comparisons with deep reinforcement learning.
Signals and Systems
This course is a study of signals and systems, covering topics: formal definition of 'signal' and 'system', continuous and discrete signals, continuous and discrete-time systems, Linear Time-Invariant (LTI) systems, representation of continuous and discr…
Digital Signal Processing and Its Applications
Explore digital signal processing fundamentals, including sampling, Fourier transforms, discrete systems, filters, and various transform techniques. Gain practical skills in filter design and implementation.
Diffusion Models and Score-Based Generative Models Explained - From Scratch
Dive into a comprehensive 38-minute video lecture on Diffusion Models, exploring them through the lens of Score-Based Generative Models. Gain a deeper intuition for diffusion models, visualize key concepts, and understand the connections between differen…
Top Business Secrets Revealed by Data Analytics Expert
Unlock data analytics' power for business success. Learn predictive analytics, sampling, forecasting, and cybersecurity considerations. Gain insights to drive growth and make data-driven decisions.
Counting Probabilities with Combinatorics and the Factorial
Master combinatorics and factorial concepts in probability. Learn to count event occurrences, analyze sampling methods, and apply formulas for various probability scenarios, including coin flips and poker hands.
Central Limit Theorem - Probability and Statistics for Beginners
Comprehensive tutorial on Central Limit Theorem, covering sampling, population, implementation in Python, hypothesis testing, and error types. Ideal for beginners in probability and statistics.
Data Analysis
Explore central tendency, data distribution, and statistical concepts using TI-84+ calculators. Learn about sampling methods and survey design for comprehensive data analysis skills.
Logic Tips
Our weekly Logic Pro tips show on synthesizing music with Jono Buchanan.
Digital Signal Processing, 1975
Comprehensive introduction to analog and digital signal processing, covering applications in various fields. Gain practical skills through 20 video lectures led by a renowned expert.
Real-Time Digital Signal Processing Laboratory Course
Comprehensive video series on real-time digital signal processing, covering DSP architecture, filters, modulation techniques, and communication systems. Includes lectures and homework discussions for hands-on learning.
Biostatistics and More
Comprehensive biostatistics overview covering central tendency, dispersion, distributions, data visualization, research variables, statistical testing, and hypothesis analysis.
Complete Statistics for Data Science
Comprehensive statistics guide covering descriptive and inferential techniques, probability, hypothesis testing, and data analysis using Python. Ideal for aspiring data scientists and analysts.
On the Critic Function of Implicit Generative Models - Arthur Gretton
Explore implicit generative models' critic function, divergence measures, and energy-based models with Arthur Gretton. Gain insights into topological properties, neural net divergences, and multimodality in machine learning.
Neural SDEs - Deep Generative Models in the Diffusion Limit - Maxim Raginsky
Explore deep generative models through stochastic control, diffusion limits, and neural nets. Learn about efficient sampling, expressiveness quantification, and unbiased simulation techniques.
Une Histoire de Sample - The Art of Sampling in Music
Plongez dans l'univers fascinant du sampling avec Simon Weissberg, étudiant passionné de musique et de rap, qui partage son expérience et sa créativité dans cette performance captivante.
Differentially Private Sampling from Distributions - Google Algorithms Seminar
Explore private sampling from distributions, examining dataset size requirements for various distribution families and comparing private sampling to non-private learning in different parameter regimes.
Shifting and Scaling in Discrete Time - Lecture 13
Explore shifting and scaling operations in discrete time systems, enhancing understanding of signal processing concepts and their practical applications.
Signal and Noise - Lecture 14
Explore signal and noise concepts in this concise lecture, enhancing your understanding of fundamental principles in signal processing.
Signals in the Physical World - Lecture 15
Explore signals in the physical world, examining their characteristics, types, and applications in various scientific and engineering domains.