About numerator results of 127

Relevance
克里斯汀生TED演說「你要如何衡量你的人生？」(中文字幕)19:37

克里斯汀生TED演說「你要如何衡量你的人生？」(中文字幕)

28
B1
NEURAL NETWORKS, PART 2! - CS50 Live, EP. 55124:07

NEURAL NETWORKS, PART 2! - CS50 Live, EP. 55

2
B1
The Berenstain Bears: Trouble At School/Visit The Dentist - Ep.124:35

The Berenstain Bears: Trouble At School/Visit The Dentist - Ep.1

60
B1
15. Cache-Oblivious Algorithms81:47

15. Cache-Oblivious Algorithms

2
B2
Could Coronavirus lead to a new English super league? | Sunday Supplement15:04

Could Coronavirus lead to a new English super league? | Sunday Supplement

7
B1
Basel III22:33

Basel III

230
B1
Diagonal Winning Algo - Python 3 Programming Tutorial p.1221:55

Diagonal Winning Algo - Python 3 Programming Tutorial p.12

6
A2
Inside TensorFlow: tf.distribute.Strategy54:33

Inside TensorFlow: tf.distribute.Strategy

6
B1
17. Learning: Boosting51:40

17. Learning: Boosting

93
A2
Volume of Distribution - Pharmacology Lect 523:53

Volume of Distribution - Pharmacology Lect 5

98
B1
Lec 1 | MIT 18.02 Multivariable Calculus, Fall 200738:41

Lec 1 | MIT 18.02 Multivariable Calculus, Fall 2007

92
B1
A Miraculous Proof (Ptolemy's Theorem) - Numberphile38:28

A Miraculous Proof (Ptolemy's Theorem) - Numberphile

8
B1
2. Electric Fields73:03

2. Electric Fields

93
B1
Coding Challenge #145: 2D Raycasting36:02

Coding Challenge #145: 2D Raycasting

3
B1
California Governor Gavin Newsom gives update on coronavirus outbreak41:59

California Governor Gavin Newsom gives update on coronavirus outbreak

8
B1
Google Sheets - Full Tutorial35:14

Google Sheets - Full Tutorial

11
A2
Module 14 - Using Markers to Predict Breeding Values53:50

Module 14 - Using Markers to Predict Breeding Values

112
B2
Chem 203. Organic Spectroscopy. Lecture 18. Dynamic Effects in NMR Spectroscopy55:33

Chem 203. Organic Spectroscopy. Lecture 18. Dynamic Effects in NMR Spectroscopy

85
B1
YouTube CEO Susan Wojcicki | Full interview | Code 201941:49

YouTube CEO Susan Wojcicki | Full interview | Code 2019

191
A2
Machine Learning for Everybody – Full Course233:53

Machine Learning for Everybody – Full Course

14
B1
Deep Learning Chatbot R&D74:28

Deep Learning Chatbot R&D

4
A2
Training & Testing Deep reinforcement learning (DQN) Agent - Reinforcement Learning p.648:37

Training & Testing Deep reinforcement learning (DQN) Agent - Reinforcement Learning p.6

9
B1
7. Q-Equation Continued and Examples52:00

7. Q-Equation Continued and Examples

3
B1
Snake Game Python Tutorial49:28

Snake Game Python Tutorial

17
A2
2017/02/11: An incendiary discussion at Ryerson U111:30

2017/02/11: An incendiary discussion at Ryerson U

B1
Unity Game Dev Full Tutorial - 3D Snake Game109:08

Unity Game Dev Full Tutorial - 3D Snake Game

B1
Introduction to Probability Distributions06:20

Introduction to Probability Distributions

3
B1
Excel Basics 1: Introduction To Excel 1: Formatting, Formulas, Cell References, Page Setup62:55

Excel Basics 1: Introduction To Excel 1: Formatting, Formulas, Cell References, Page Setup

24
B1
Mod-03 Lec-08 Bayesian Estimation examples; the exponential family of densities and ML estimates57:05

Mod-03 Lec-08 Bayesian Estimation examples; the exponential family of densities and ML estimates

65
C1
Juggling Act | Pat Gelsinger | Talks at Google53:23

Juggling Act | Pat Gelsinger | Talks at Google

11
B1
10. Measurement and Timing81:28

10. Measurement and Timing

4
B1
8. Analysis of Multithreaded Algorithms77:34

8. Analysis of Multithreaded Algorithms

11
B1
Ses 15: Portfolio Theory III & The CAPM and APT I78:34

Ses 15: Portfolio Theory III & The CAPM and APT I

80
B1
2. Bentley Rules for Optimizing Work80:10

2. Bentley Rules for Optimizing Work

2
B1
CS50 2021 in HDR - Lecture 1 - C148:50

CS50 2021 in HDR - Lecture 1 - C

12
B1