Probability and Statistics
Comprehensive exploration of probability theory, statistical distributions, sampling, estimation, and hypothesis testing, providing a solid foundation for data analysis and statistical inference.
Data Analytics with Python
Learn Python-based data analytics, covering statistics, probability, hypothesis testing, regression, ANOVA, clustering, and decision trees. Gain practical skills for data-driven decision making and statistical analysis.
Statistics and Machine Learning in R
If you want to do statistics and machine learning in R, this playlist is for you, and you only. No one else is allowed to watch it.
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…
Probability Foundation for Electrical Engineers
Comprehensive exploration of probability theory for electrical engineers, covering fundamental concepts, random variables, expectation, and limit theorems with rigorous mathematical foundations.
Probability and Random Variables - Processes for Wireless Communications
Explore probability and random processes in wireless communications, covering axioms, conditional probability, random variables, and applications in fading channels and array processing.
Estimation of Signals and Systems
This course covers lessons on probability theory, random variables, mean and variance, linear signal models, z-transform, Kalman filter, variants of least squares estimation, and estimation problems in instrumentation and control.
Introduction to Probability and Statistics
This course is aimed at being a pre-term or a preparatory course for probability and statistics. It is very basic and introduces the students to the understanding of data and measuring associations. It also introduces the concepts of probability and dist…
Pattern Recognition
Comprehensive exploration of statistical pattern recognition, covering Bayes classifiers, density estimation, linear discriminants, neural networks, SVMs, and advanced learning techniques.
Probability and Stochastics for Finance
This course provides the minimum mathematical requirements to study mathematical finance or more precisely the pricing of financial derivatives.
Physics - Nonequilibrium Statistical Mechanics
Explore advanced concepts in nonequilibrium statistical mechanics, including Langevin models, linear response theory, Fokker-Planck equations, and critical phenomena, with practical applications and quizzes.
Applied Natural Language Processing
Explore natural language processing techniques, from corpus operations to advanced neural networks, for applications in machine translation, topic modeling, and conversation systems.
Probability Methods in Civil Engineering
Comprehensive exploration of probability concepts, distributions, and statistical methods applied to civil engineering problems, enhancing analytical skills for real-world applications.
Statistical Mechanics
Comprehensive exploration of probability, statistical ensembles, and quantum mechanics, covering discrete and continuous distributions, entropy, and applications to physical systems.
Linear Regression Analysis and Forecasting
The accuracy of forecasting depends upon the goodness of obtained model. What are the steps and checks required to obtain a good model and in turn, how to do forecasting is being aimed to be taught in this course.
Sidney Redner on Statistics and Everyday Life
Explore everyday phenomena through statistical analysis, revealing hidden patterns in parking, elevators, and sports. Learn how complex systems research uncovers universal principles in daily life.
Privacy in Census Data - Math Meets Policy
Explore the impact of differential privacy on Census data, focusing on redistricting implications and the balance between data protection and accuracy in demographic statistics.
A Statistical Physicist Looks at Some Complex Systems
Explore complex systems through statistical physics, examining random walks, lead changes in sports, and data analysis techniques for understanding dynamic processes.
Prediction in Immune Repertoires
Explore how the adaptive immune system predicts future threats by balancing new pathogen encounters with past infection experiences, using a dynamic Bayesian approach.
Nonadditive Entropies and Statistical Mechanics at the Edge of Chaos - Cornerstones
Explore nonadditive entropies and statistical mechanics at chaos' edge. Delve into Boltzmann-Gibbs entropy, Q-logarithm, and complex networks, challenging traditional thermodynamic principles.
Why Are Cell Populations Maintained via Multiple Intermediate Compartments?
Explore the efficiency of multiple intermediate compartments in maintaining cell populations, minimizing clonality, and optimizing division rounds from progenitors to product cells.