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255 results

MIT OpenCourseWare
R4. Randomized Select and Randomized Quicksort

MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: ...

39:30
R4. Randomized Select and Randomized Quicksort

46,065 views

9 years ago

Errichto Algorithms
Randomized algorithms lecture #1 - probability, repeating a process

This is a lecture on randomized algorithms in Competitive Programming. Second part: https://youtu.be/GS2MxmorEzc Codeforces ...

22:09
Randomized algorithms lecture #1 - probability, repeating a process

62,696 views

6 years ago

MIT OpenCourseWare
6. Randomization: Matrix Multiply, Quicksort

MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: ...

1:21:52
6. Randomization: Matrix Multiply, Quicksort

67,793 views

9 years ago

Sebastian Raschka
13.3.2 Decision Trees & Random Forest Feature Importance (L13: Feature Selection)

Sebastian's books: https://sebastianraschka.com/books/ This video explains how decision trees training can be regarded as an ...

39:43
13.3.2 Decision Trees & Random Forest Feature Importance (L13: Feature Selection)

17,434 views

4 years ago

Josh Hug
CS61b Spring 2023 - Lec 31 - Sorting 3: Quicksort, Quick Select, Stability

But there does exist a randomized algorithm that maybe doesn't get the best answer, but gets you a pretty good answer.

49:48
CS61b Spring 2023 - Lec 31 - Sorting 3: Quicksort, Quick Select, Stability

4,763 views

2 years ago

Errichto Algorithms
Randomized algorithms lecture #2 - birthday paradox, random shuffle, hashing

Part 2 of Randomized algorithms in Competitive Programming. First part: https://youtu.be/0r2D32esF3Y Codeforces blog with ...

21:02
Randomized algorithms lecture #2 - birthday paradox, random shuffle, hashing

22,004 views

6 years ago

Ecological Forecasting
Statistical Methods Series: Generalized Joint Attribute Modeling (GJAM)

Tong Qiu presented on the Generalized Joint Attribute Model (GJAM) on January 24, 2022 for the “Statistical Methods” webinar ...

1:06:15
Statistical Methods Series: Generalized Joint Attribute Modeling (GJAM)

1,533 views

3 years ago

MIT OpenCourseWare
7. Randomization: Skip Lists

MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: ...

1:20:56
7. Randomization: Skip Lists

95,532 views

9 years ago

HBS Digital Initiative
Mitigating the Impact of Bias on Selection Algorithms | Swati Gupta

In this talk, Swati Gupta from Georgia Institute of Technology focuses on selection algorithms used in the hiring process (e.g., ...

21:12
Mitigating the Impact of Bias on Selection Algorithms | Swati Gupta

342 views

4 years ago

Back To Back SWE
Find the k'th Largest or Smallest Element of an Array: From Sorting To Heaps To Partitioning

Code & Problem Statement ...

29:13
Find the k'th Largest or Smallest Element of an Array: From Sorting To Heaps To Partitioning

278,979 views

6 years ago

Simons Institute for the Theory of Computing
Randomized Algorithms for Computing Full Matrix Factorizations

Gunnar Martinsson (University of Texas at Austin) ...

34:57
Randomized Algorithms for Computing Full Matrix Factorizations

1,116 views

7 years ago

Kids Academy
Matching, Sorting & Logic Games and Activities | Preschool & Kindergarten | Kids Academy

Thousands of parents and educators are turning to the kids' learning app that makes real learning truly fun. Try Kids Academy with ...

32:56
Matching, Sorting & Logic Games and Activities | Preschool & Kindergarten | Kids Academy

2,854,046 views

5 years ago

MIT OpenCourseWare
Lecture 13: Randomized Matrix Multiplication

MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018 Instructor: Gilbert Strang ...

52:24
Lecture 13: Randomized Matrix Multiplication

40,513 views

6 years ago

Sebastian Raschka
11.6 Nested CV for Algorithm Selection Code Example (L11 Model Eval. Part 4)

Sebastian's books: https://sebastianraschka.com/books/ Picking up where the previous video left off, this video goes over nested ...

24:35
11.6 Nested CV for Algorithm Selection Code Example (L11 Model Eval. Part 4)

6,427 views

5 years ago

NPTEL IIT Guwahati
Lecture 1: Introduction to Randomized Algorithms

We will see a more examples of how randomization helps, but let us first begin by looking at a randomized algorithm that all of us ...

44:09
Lecture 1: Introduction to Randomized Algorithms

23,186 views

7 years ago

Distributed Systems
Distributed Randomized Algorithms

This lecture covers the following topics: Concept of Randomization Randomized Leader Election: 1. Synchronous One-Shot ...

37:21
Distributed Randomized Algorithms

2,400 views

8 years ago

NPTEL-NOC IITM
Randomized quicksort

So, now coming back to the randomized algorithm, think about how we chose the pivot. We choose the deterministically in the ...

42:47
Randomized quicksort

2,519 views

3 years ago

MIT OpenCourseWare
2. Divide & Conquer: Convex Hull, Median Finding

MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: ...

1:20:35
2. Divide & Conquer: Convex Hull, Median Finding

221,981 views

9 years ago

MITCBMM
Sobolev Independence Criterion: Non-Linear Feature Selection with False Discovery Control.

Youssef Mroueh, IBM Research and MIT-IBM Watson AI lab Abstract: In this talk I will show how learning gradients help us ...

49:22
Sobolev Independence Criterion: Non-Linear Feature Selection with False Discovery Control.

987 views

5 years ago

ICCQ: International Conference on Code Quality
Rowland Pitts: Mutant Selection Strategies in Mutation Testing

"Mutation Testing offers a powerful approach to assess- ing unit test set quality; however, software developers are often reluctant ...

31:24
Rowland Pitts: Mutant Selection Strategies in Mutation Testing

150 views

2 years ago