# algorithm (video feeds) — RSS Amplifier Recent posts from the 38 feeds in the RSS Amplifier directory that cover algorithm. Page: Feed: --- ## [How To Build AI Voice Systems in 2026](https://www.youtube.com/watch?v=O6ymeQfD0G4) _2026-05-29 · Conner · Conner_ ## [Numerical Algorithms for Computing & ML, fall 2025 (lecture 26): Leapfrog integration,adjoint method](https://www.youtube.com/watch?v=zG6l4RYjerg) _2025-12-10 · Justin Solomon · Justin Solomon_ ## [Numerical Algorithms for Computing & ML, fall 2025 (lecture 25): Exponential/RK/Newmark integration](https://www.youtube.com/watch?v=MBaqylJJRqU) _2025-12-08 · Justin Solomon · Justin Solomon_ ## [Numerical Algorithms for Computing & ML, fall 2025 (lecture 24): Ordinary differential equations](https://www.youtube.com/watch?v=Z4-50sJ_QNE) _2025-12-03 · Justin Solomon · Justin Solomon_ ## [Numerical Algorithms for Computing & ML, fall 2025 (lecture 23): Numerical integrals and derivatives](https://www.youtube.com/watch?v=6WIA7aH6ZDU) _2025-12-01 · Justin Solomon · Justin Solomon_ ## [Numerical Algorithms for Computing & ML, fall 2025 (lecture 22): 1D Quadrature/Numerical Integration](https://www.youtube.com/watch?v=28wBuvPHeRc) _2025-11-26 · Justin Solomon · Justin Solomon_ ## [Numerical Algorithms for Computing & ML, fall 2025 (lecture 21): Interpolation](https://www.youtube.com/watch?v=aP0zIwYq07Q) _2025-11-24 · Justin Solomon · Justin Solomon_ ## [Numerical Algorithms for Computing & ML, fall 2025 (lecture 20): Alternating optimization and ADMM](https://www.youtube.com/watch?v=ral0DFUROpk) _2025-11-20 · Justin Solomon · Justin Solomon_ ## [Numerical Algorithms for Computing & ML, fall 2025 (lecture 19): Gauss-Newton, Levenberg-Marquardt](https://www.youtube.com/watch?v=r0rWT_r4oPI) _2025-11-17 · Justin Solomon · Justin Solomon_ ## [Numerical Algorithms for Computing & ML, fall 2025 (lecture 18): Conjugate gradient algorithm](https://www.youtube.com/watch?v=nHoDQTtC2AU) _2025-11-14 · Justin Solomon · Justin Solomon_ ## [6 5220 Lecture 4 Game theory, Lower Bounds 1, Coupon Collecting, Stable Matching.](https://www.youtube.com/watch?v=ET8g7RjWn9U) _2025-11-11 · David Karger's Lectures · MIT 6.5220 Randomized Algorithms Fall 2025_ ## [6 5220 Lecture 3 Adelman's theorem, Game tree evaluation](https://www.youtube.com/watch?v=4v9CcTqP9qU) _2025-11-11 · David Karger's Lectures · MIT 6.5220 Randomized Algorithms Fall 2025_ ## [6 5220 Lecture 2 Min-cut, Complexity theory.](https://www.youtube.com/watch?v=MTUo9nG9kPI) _2025-11-11 · David Karger's Lectures · MIT 6.5220 Randomized Algorithms Fall 2025_ ## [6 5220 Lecture 1 Introduction to Randomized Algorithms. Quicksort, BSP.](https://www.youtube.com/watch?v=3ivSUyNu4DA) _2025-11-11 · David Karger's Lectures · MIT 6.5220 Randomized Algorithms Fall 2025_ ## [Numerical Algorithms for Computing & ML, fall 2025 (lecture 17): Active set, barrier, intro to CG](https://www.youtube.com/watch?v=o3ZXMMpTQKw) _2025-11-06 · Justin Solomon · Justin Solomon_ ## [Numerical Algorithms for Computing & ML, fall 2025 (lecture 16): Constrained optim., KKT conditions](https://www.youtube.com/watch?v=57hj6F7BM8Q) _2025-11-03 · Justin Solomon · 6.7350: Numerical Algorithms for Computing and Machine Learning (fall 2025)_ ## [6 5220 Lecture 16: Parallel Maximal Independent Set. Derandomization.](https://www.youtube.com/watch?v=tICDDLNeZCI) _2025-10-31 · David Karger's Lectures · MIT 6.5220 Randomized Algorithms Fall 2025_ ## [6 5220 Lecture 18 Sampling: transitive closure. DNF counting, rare events.](https://www.youtube.com/watch?v=SCdczaZJYHQ) _2025-10-31 · David Karger's Lectures · MIT 6.5220 Randomized Algorithms Fall 2025_ ## [6 5220 Lecture 14: Symmetry breaking. Parallel Algorithms. Ethernet. Perfect matching.](https://www.youtube.com/watch?v=oTDTLiq0JfI) _2025-10-31 · David Karger's Lectures · MIT 6.5220 Randomized Algorithms Fall 2025_ ## [6 5220 Lecture 13: Fingerprinting by polynomials, perfect matching, network coding.](https://www.youtube.com/watch?v=KnsXovx4B2M) _2025-10-31 · David Karger's Lectures · MIT 6.5220 Randomized Algorithms Fall 2025_ ## [6 5220 Lecture 12: Text search. Bloom filters.](https://www.youtube.com/watch?v=r2AiAYFfS2c) _2025-10-31 · David Karger's Lectures · MIT 6.5220 Randomized Algorithms Fall 2025_ ## [6 5220 Lecture 11: Consistent Hashing. Fingerprinting.](https://www.youtube.com/watch?v=r8OxlA1E5Fo) _2025-10-31 · David Karger's Lectures · MIT 6.5220 Randomized Algorithms Fall 2025_ ## [6 5220 Lecture 10: 2 Choices (cont). Cuckoo Hashing.](https://www.youtube.com/watch?v=YkDuUEx7VJY) _2025-10-31 · David Karger's Lectures · MIT 6.5220 Randomized Algorithms Fall 2025_ ## [6 5220 Lecture 8: The power of two choices.](https://www.youtube.com/watch?v=cCUxEydVxQM) _2025-10-31 · David Karger's Lectures · MIT 6.5220 Randomized Algorithms Fall 2025_ ## [6 5220 Lecture 7: Chernoff Bound. Randomized routing.](https://www.youtube.com/watch?v=ljkB2msfwMc) _2025-10-31 · David Karger's Lectures · MIT 6.5220 Randomized Algorithms Fall 2025_ ## [Numerical Algorithms for Computing & ML, fall 2025 (lecture 15): BFGS and Quasi-Newton Methods](https://www.youtube.com/watch?v=hbGhZpJwano) _2025-10-30 · Justin Solomon · 6.7350: Numerical Algorithms for Computing and Machine Learning (fall 2025)_ ## [Numerical Algorithms for Computing & ML, fall 2025 (lecture 14): Convergence of gradient descent](https://www.youtube.com/watch?v=3TwIGr73YTs) _2025-10-30 · Justin Solomon · 6.7350: Numerical Algorithms for Computing and Machine Learning (fall 2025)_ ## [Numerical Algorithms for Computing & ML, fall 2025 (lecture 13): Golden sec search, Wolfe conditions](https://www.youtube.com/watch?v=1QkmyVpCETQ) _2025-10-20 · Justin Solomon · 6.7350: Numerical Algorithms for Computing and Machine Learning (fall 2025)_ ## [Numerical Algorithms for Computing & ML, fall 2025 (lecture 12): Broyden's method, root finding](https://www.youtube.com/watch?v=yGIMAKOYnyo) _2025-10-15 · Justin Solomon · 6.7350: Numerical Algorithms for Computing and Machine Learning (fall 2025)_ ## [Numerical Algorithms for Computing & ML, fall 2025 (lecture 11): Procrustes problem, root finding](https://www.youtube.com/watch?v=YwSchuUWSiw) _2025-10-08 · Justin Solomon · 6.7350: Numerical Algorithms for Computing and Machine Learning (fall 2025)_ ## [Numerical Algorithms for Computing & ML, fall 2025 (lecture 10): Re-deriving SVD, SVD applications](https://www.youtube.com/watch?v=lyoL7lI3GzQ) _2025-10-06 · Justin Solomon · 6.7350: Numerical Algorithms for Computing and Machine Learning (fall 2025)_ ## [Numerical Algorithms for Computing & ML, fall 2025 (lecture 9): QR iteration, intro to SVD](https://www.youtube.com/watch?v=0SYIpc1_sX8) _2025-10-01 · Justin Solomon · 6.7350: Numerical Algorithms for Computing and Machine Learning (fall 2025)_ ## [Numerical Algorithms for Computing & ML, fall 2025 (lecture 7): Applications of eigenvalues](https://www.youtube.com/watch?v=9SL83pwnNck) _2025-09-26 · Justin Solomon · 6.7350: Numerical Algorithms for Computing and Machine Learning (fall 2025)_ ## [Numerical Algorithms for Computing & ML, fall 2025 (lecture 6): QR factorization](https://www.youtube.com/watch?v=SSTh0khHN7s) _2025-09-23 · Justin Solomon · 6.7350: Numerical Algorithms for Computing and Machine Learning (fall 2025)_ ## [Numerical Algorithms for Computing & ML, fall 2025 (lecture 5): Condition number for linear systems](https://www.youtube.com/watch?v=k3rMy11u1qs) _2025-09-17 · Justin Solomon · 6.7350: Numerical Algorithms for Computing and Machine Learning (fall 2025)_ ## [6 5220 Lecture 6 Median finding. Pseudorandom numbers.](https://www.youtube.com/watch?v=S9sC7U5VgzI) _2025-09-16 · David Karger's Lectures · MIT 6.5220 Randomized Algorithms Fall 2025_ ## [Numerical Algorithms for Computing & ML, fall 2025 (lecture 4): Cholesky factorization](https://www.youtube.com/watch?v=GOrwJ3IJGHY) _2025-09-15 · Justin Solomon · 6.7350: Numerical Algorithms for Computing and Machine Learning (fall 2025)_ ## [6.5220 Lecture 5 Deviations: Markov, Chebyshev. Balls in Bins](https://www.youtube.com/watch?v=5n2wzljxeWY) _2025-09-12 · David Karger's Lectures · MIT 6.5220 Randomized Algorithms Fall 2025_ ## [Numerical Algorithms for Computing & ML, fall 2025 (lecture 3): LU factorization, least-squares](https://www.youtube.com/watch?v=jXG6TOzRcwA) _2025-09-10 · Justin Solomon · 6.7350: Numerical Algorithms for Computing and Machine Learning (fall 2025)_ ## [Numerical Algorithms for Computing & ML, fall 2025 (lecture 2): Conditioning, Gaussian elimination](https://www.youtube.com/watch?v=h8ztk2tRxIk) _2025-09-08 · Justin Solomon · 6.7350: Numerical Algorithms for Computing and Machine Learning (fall 2025)_ ## [Numerical Algorithms for Computing & ML, fall 2025 (lecture 1): Introduction, number systems](https://www.youtube.com/watch?v=MPkO8HIvhz8) _2025-09-04 · Justin Solomon · 6.7350: Numerical Algorithms for Computing and Machine Learning (fall 2025)_ ## [How to Make a VibeCode Server (and why you should)](https://www.youtube.com/watch?v=zBaq_X_6gIM) _2025-08-21 · Conner · Conner_ ## [Code Rails 10x Faster: AI-Powered Dev with Cursor](https://www.youtube.com/watch?v=Fm6o3u_V-hM) _2025-06-07 · Conner · Conner_ ## [Lesson 23: Network Algorithms and Approximations by Mohammad Hajiaghayi: Iterative Rounding Method 2](https://www.youtube.com/watch?v=llhwMWUUGYI) _2025-05-14 · Mohammad Hajiaghayi · Network Algorithms and Approximations Course by Mohammad Hajiaghayi_ ## [Lesson 22: Network Algorithms and Approximations by Mohammad Hajiaghayi: Iterative Rounding Method 1](https://www.youtube.com/watch?v=jQWe065sUVo) _2025-05-07 · Mohammad Hajiaghayi · Network Algorithms and Approximations Course by Mohammad Hajiaghayi_ ## [Lesson 21: Network Algorithms and Approximations by Mohammad Hajiaghayi:Con Facility & Group Steiner](https://www.youtube.com/watch?v=AzlPvBwToQI) _2025-04-30 · Mohammad Hajiaghayi · Network Algorithms and Approximations Course by Mohammad Hajiaghayi_ ## [Lesson 20: Network Algorithms and Approximations by Mohammad Hajiaghayi: Metric Facility Location](https://www.youtube.com/watch?v=VDlz1WRPBL0) _2025-04-23 · Mohammad Hajiaghayi · Network Algorithms and Approximations Course by Mohammad Hajiaghayi_ ## [Lecture 23 - Exam review](https://www.youtube.com/watch?v=5y5XFIrybEU) _2025-04-21 · Helen Xu Lectures · CSE 6220 / CX 4220 Spring 2025_ ## [Lesson 19: Network Algorithms and Approximations by Mohammad Hajiaghayi: k-Center and k-Median](https://www.youtube.com/watch?v=A5owZMIpcFQ) _2025-04-16 · Mohammad Hajiaghayi · Network Algorithms and Approximations Course by Mohammad Hajiaghayi_ ## [Lecture 22 - Graph Optimization](https://www.youtube.com/watch?v=gd2UCgNc2hw) _2025-04-16 · Helen Xu Lectures · CSE 6220 / CX 4220 Spring 2025_