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193 results
Fundamental Algorithms, Spring 2025, Lecture 20 Chapter 24 of www.fundamentalalgorithms.com/fas25.
55 views
8 months ago
Lecture recordings of CS 627 – Advanced Algorithms (Summer 2025) Advanced Algorithms (CS 627) is a specialization module ...
32 views
6 months ago
Randomized Algorithms, Fall 2025, Lecture 1 Chapter 1 of www.fundamentalalgorithms.com/raf25.
212 views
4 months ago
Fundamental Algorithms, Spring 2025, Lecture 3 Chapter 3 of www.fundamentalalgorithms.com/fas25.
53 views
11 months ago
O(N^2) is not amortized but average time complexity.
26 views
Have you ever struggled with high-dimensional datasets and wondered how to identify the most important features for optimal ...
24 views
9 months ago
This video demonstrates the Activity Selection Problem using a Greedy Algorithm. The goal of this project is to select the maximum ...
0 views
2 weeks ago
Hello! I wanted to make a tips and tricks video for all the new players and returning players. I tried to put together a mix of tips that ...
69,125 views
3 months ago
Column subset selection, active learning, and determinantal point processes Subset selection problems are everywhere in data ...
122 views
2 months ago
Exploring Effective Data Selection for AI Model Training In this presentation, Muru (PhD student at USC and part-time researcher ...
70 views
Consider a random shuffle acting on a deck of n cards as follows: Uniformly at random, we select k out of our n cards, remove ...
30 views
Joint IAS/PU Groups and Dynamics Seminar 4:30pm|Simonyi 101 Topic: Infinitesimal Containment and Sparse Factors of iid ...
329 views
machinelearning #featureselection #datascience #ai Are you struggling to choose the best feature selection technique for your ...
125 views
Introduction to Machine Learning ABOUT THE COURSE : With the increased availability of data from varied sources there has ...
17 views
2025-05-28: Thanh Nguyen and Andrei Constantinescu Thanh Nguyen (Purdue) Stable Social Choice Stability, or the absence of ...
101 views
7 months ago
This is how I develop trading strategies. Code: https://github.com/neurotrader888/mcpt Strategy Development Reference Books ...
344,761 views
10 months ago
In this video, I demonstrate how to fit a random forest regression solution using scikit-learn. I used Google Colab to create a ...
51 views
Jai Hind, Everyone! Thank you so much for all the love and support you've been showing me. Please do like, share, and ...
6 views
... to our uh quick select problem so we got be we what we had before is like okay the random selection algorithm gives you order ...
41 views
5 months ago
Digital Randomized Selection (DRS)-Qurrah for Haj 2026 on 13th August, 2025 at 11:30AM HAJ COMMITTEE OF INDIA Baitul ...
340,839 views
Streamed 4 months ago
Model selection is the process of choosing from a class of candidate models given data. For instance, we may wish to select which ...
501 views
7 views
Title: Benchmarking Beyond Statistics: Data-Driven Footprints for Explainable Black-Box Optimization Speaker: Tome Eftimov ...
88 views
1 month ago
Hi! In this video, I'll show you how to build a third-person grinding system in Unreal Engine 5 using C++. We'll create a custom ...
1,363 views
4 days ago
Quick sort** is an efficient, recursive, divide-and-conquer sorting algorithm. It works by selecting a "pivot" element from the array ...
28 views