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Invidious > Channel > BOFFIN ASTRO TAM / ENGLISH

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YT 51 minutes 52 seconds MIT OpenCourseWare Advanced 3. Image Classification via Deep Learning YT 1 hour 11 minutes 48 seconds MIT OpenCourseWare Advanced 6. Planning with Temporal Logic YT 1 hour 22 minutes 51 seconds MIT OpenCourseWare Advanced 7: Probabilistic and Infinite Horizon Planning

YT 1 hour 23 minutes 26 seconds MIT OpenCourseWare Advanced 4. Monte Carlo Tree Search YT 1 hour 13 minutes 37 seconds MIT OpenCourseWare Advanced 5. Reachability YT 40 minutes 20 seconds MIT OpenCourseWare Advanced 2. Semantic Localization

YT 1 hour 22 minutes 46 seconds MIT OpenCourseWare Advanced 1. Incremental Path Planning YT 8 minutes 46 seconds MIT OpenCourseWare Vector Subspaces YT 12 minutes 31 seconds MIT OpenCourseWare Graphs and Networks

YT 13 minutes 2 seconds MIT OpenCourseWare Complex Matrices YT 9 minutes 56 seconds MIT OpenCourseWare Properties of Determinants YT 10 minutes 45 seconds MIT OpenCourseWare Computing the Four Fundamental Subspaces

YT 17 minutes 52 seconds MIT OpenCourseWare Exam #2 Problem Solving YT 14 minutes 45 seconds MIT OpenCourseWare Subspaces of Three Dimensional Space YT 12 minutes 40 seconds MIT OpenCourseWare Symmetric Matrices and Positive Definiteness

YT 12 minutes 50 seconds MIT OpenCourseWare Positive Definite Matrices and Minima YT 12 minutes 18 seconds MIT OpenCourseWare Final Exam Problem Solving YT 9 minutes 4 seconds MIT OpenCourseWare Solving Ax=b

YT 10 minutes 4 seconds MIT OpenCourseWare Solving Ax=0 YT 9 minutes 7 seconds MIT OpenCourseWare Powers of a Matrix YT 11 minutes 49 seconds MIT OpenCourseWare Markov Matrices

YT 8 minutes 13 seconds MIT OpenCourseWare Similar Matrices YT 9 minutes 51 seconds MIT OpenCourseWare Projection into Subspaces YT 10 minutes MIT OpenCourseWare Gram-Schmidt Orthogonalization

YT 14 minutes 40 seconds MIT OpenCourseWare Pseudoinverses YT 10 minutes 20 seconds MIT OpenCourseWare Orthogonal Vectors and Subspaces YT 13 minutes 50 seconds MIT OpenCourseWare Determinants and Volume

YT 12 minutes 49 seconds MIT OpenCourseWare Determinants YT 11 minutes 36 seconds MIT OpenCourseWare Computing the Singular Value Decomposition YT 9 minutes 22 seconds MIT OpenCourseWare Eigenvalues and Eigenvectors

YT 9 minutes 35 seconds MIT OpenCourseWare LU Decomposition YT 8 minutes 10 seconds MIT OpenCourseWare Basis and Dimension YT 12 minutes 26 seconds MIT OpenCourseWare Change of Basis

YT 8 minutes 4 seconds MIT OpenCourseWare Least Squares Approximation YT 10 minutes 18 seconds MIT OpenCourseWare Elimination with Matrices YT 8 minutes 56 seconds MIT OpenCourseWare Matrix Spaces

YT 7 minutes 43 seconds MIT OpenCourseWare An Overview of Key Ideas YT 1 second [Private video] YT 6 minutes 39 seconds MIT OpenCourseWare L25.4 The Probability of a Path

YT 5 minutes 28 seconds MIT OpenCourseWare L11.7 The Intuition for the Monotonic Case YT 4 minutes 12 seconds MIT OpenCourseWare L05.9 Elementary Properties of Expectation YT 6 minutes 28 seconds MIT OpenCourseWare L06.5 Total Expectation Theorem

YT 5 minutes 30 seconds MIT OpenCourseWare L03.6 Independence Versus Conditional Independence YT 8 minutes 12 seconds MIT OpenCourseWare L21.7 The Time of the K-th Arrival YT 5 minutes 36 seconds MIT OpenCourseWare L10.7 Independent Normals

YT 8 minutes 28 seconds MIT OpenCourseWare L18.6 Convergence in Probability YT 1 minute 47 seconds MIT OpenCourseWare L13.1 Lecture Overview YT 10 minutes 41 seconds MIT OpenCourseWare L22.7 Time of the K-th Arrival

YT 2 minutes 29 seconds MIT OpenCourseWare L04.1 Lecture Overview YT 5 minutes 29 seconds MIT OpenCourseWare L16.6 Example Continued: LMS Performance Evaluation YT 6 minutes 17 seconds MIT OpenCourseWare L02.6 The Multiplication Rule

YT 11 minutes 25 seconds MIT OpenCourseWare L23.5 The Time Until the First (or last) Lightbulb Burns Out YT 8 minutes 18 seconds MIT OpenCourseWare L15.3 Estimating a Normal Random Variable in the Presence of Additive Noise YT 4 minutes 53 seconds MIT OpenCourseWare S01.2 De Morgan's Laws

YT 3 minutes 53 seconds MIT OpenCourseWare L13.4 Stick-Breaking Revisited YT 11 minutes MIT OpenCourseWare L20.2 Overview of the Classical Statistical Framework YT 7 minutes 14 seconds MIT OpenCourseWare L11.8 A Nonmonotonic Example

YT 5 minutes 37 seconds MIT OpenCourseWare L24.8 Recurrent and Transient States YT 12 minutes 10 seconds MIT OpenCourseWare L24.3 Checkout Counter Example YT 5 minutes 3 seconds MIT OpenCourseWare L01.3 Sample Space Examples

YT 6 minutes 22 seconds MIT OpenCourseWare L12.11 Correlations Matter YT 6 minutes 13 seconds MIT OpenCourseWare L20.7 Confidence Intervals for the Mean, When the Variance is Unknown YT 18 minutes 30 seconds MIT OpenCourseWare L26.5 Design of a Phone System

YT 7 minutes 53 seconds MIT OpenCourseWare L24.4 Discrete-Time Finite-State Markov Chains YT 10 minutes 16 seconds MIT OpenCourseWare L06.7 Joint PMFs and the Expected Value Rule YT 5 minutes 20 seconds MIT OpenCourseWare L04.7 Partitions

YT 7 minutes 35 seconds MIT OpenCourseWare L14.8 Inferring the Unknown Bias of a Coin and the Beta Distribution YT 10 minutes 24 seconds MIT OpenCourseWare S14.1 The Beta Formula YT 3 minutes 46 seconds MIT OpenCourseWare L14.7 Continuous Parameter, Continuous Observation

YT 10 minutes 20 seconds MIT OpenCourseWare L20.10 Maximum Likelihood Estimation Examples YT 2 minutes 45 seconds MIT OpenCourseWare L11.4 A Linear Function of a Normal Random Variable YT 4 minutes 31 seconds MIT OpenCourseWare L13.2 Conditional Expectation as a Random Variable

YT 6 minutes 19 seconds MIT OpenCourseWare S01.8 Countable and Uncountable Sets YT 5 minutes 19 seconds MIT OpenCourseWare L25.9 Visit Frequency Interpretation of Steady-State Probabilities YT 5 minutes 7 seconds MIT OpenCourseWare L22.2 Definition of the Poisson Process

YT 9 minutes 9 seconds MIT OpenCourseWare L23.7 Random Incidence in the Poisson Process YT 7 minutes 42 seconds MIT OpenCourseWare L11.9 The PDF of a Function of Multiple Random Variables YT 5 minutes MIT OpenCourseWare L23.4 Where is an Arrival of the Merged Process Coming From?

YT 2 minutes 34 seconds MIT OpenCourseWare L22.9 Summary of Results YT 1 hour 19 minutes 9 seconds MIT OpenCourseWare 6. Maximum Likelihood Estimation (cont.) and the Method of Moments YT 1 hour 15 minutes 29 seconds MIT OpenCourseWare 15. Regression (cont.)

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