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Tic Tac Toe AI with Minimax168:29

Tic Tac Toe AI with Minimax

B1
TensorFlow Probability: Learning with confidence (TF Dev Summit '19)13:57

TensorFlow Probability: Learning with confidence (TF Dev Summit '19)

5
B1
The Handmaids Tale Part 1: Crash Course Literature #40312:41

The Handmaids Tale Part 1: Crash Course Literature #403

68
B2
VLOG #5 | Multitasking, New Career, Purpose25:43

VLOG #5 | Multitasking, New Career, Purpose

1
A2
Bitcoin Price Prediction | $100,000 After 2021 | $1,000,000 After 202513:25

Bitcoin Price Prediction | $100,000 After 2021 | $1,000,000 After 2025

6
B1
The 7 Most Common Logical Fallacies of Relevance:Beware of Misleading Logic16:54

The 7 Most Common Logical Fallacies of Relevance:Beware of Misleading Logic

71
B2
Rorschach and Freudians: Crash Course Psychology #2112:24

Rorschach and Freudians: Crash Course Psychology #21

16
B1
Lec 6 | MIT 6.00 Introduction to Computer Science and Programming, Fall 200850:11

Lec 6 | MIT 6.00 Introduction to Computer Science and Programming, Fall 2008

130
A2
Discrete Lidar Uncertainty: A Presentation35:06

Discrete Lidar Uncertainty: A Presentation

11
B1
7. Eckart-Young: The Closest Rank k Matrix to A47:16

7. Eckart-Young: The Closest Rank k Matrix to A

1
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NEURAL NETWORKS, PART 2! - CS50 Live, EP. 55124:07

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

2
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Why Don't We Remember Our Past Lives? (Episode about Past Lives) - Teal Swan15:16

Why Don't We Remember Our Past Lives? (Episode about Past Lives) - Teal Swan

68
B1
AI Pong - TensorFlow.js p.315:47

AI Pong - TensorFlow.js p.3

4
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CSS Algorithms - Lara Schenck - JSConf US 201937:01

CSS Algorithms - Lara Schenck - JSConf US 2019

5
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Getting Started with TensorFlow 2.0 (Google I/O'19)31:48

Getting Started with TensorFlow 2.0 (Google I/O'19)

3
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Why Build Higher?16:33

Why Build Higher?

21
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Scouting and more Visual inputs - Python AI in StarCraft II tutorial p.819:10

Scouting and more Visual inputs - Python AI in StarCraft II tutorial p.8

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Lecture 01 - The Learning Problem81:28

Lecture 01 - The Learning Problem

135
B1
Machine learning is not the future - Google I/O 201639:00

Machine learning is not the future - Google I/O 2016

118
A2
K Means Clustering: Pros and Cons of K Means Clustering24:07

K Means Clustering: Pros and Cons of K Means Clustering

4
B1
'Science' of the gaps20:56

'Science' of the gaps

154
B2
How Hard Should You Train for MAXIMUM Muscle Growth?16:26

How Hard Should You Train for MAXIMUM Muscle Growth?

16
B1
Peter Joseph - Pathologie sociale - Z-Day 2010104:53

Peter Joseph - Pathologie sociale - Z-Day 2010

23
B1
Peter Joseph - Social Pathology104:53

Peter Joseph - Social Pathology

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Zday 2010 "Social Pathology" Lecture, by Peter Joseph104:53

Zday 2010 "Social Pathology" Lecture, by Peter Joseph

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B1
Data Analysis 7: Clustering - Computerphile16:13

Data Analysis 7: Clustering - Computerphile

6
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Data Analysis 5: Data Reduction - Computerphile17:50

Data Analysis 5: Data Reduction - Computerphile

12
B1
Heaven Is a Place for Sociopaths24:18

Heaven Is a Place for Sociopaths

10
B2
Complete Data Science Career Guide with Former Facebook Data Scientist Joma22:25

Complete Data Science Career Guide with Former Facebook Data Scientist Joma

5
A2
8. Conscious of the Present; Conscious of the Past:59:43

8. Conscious of the Present; Conscious of the Past:

107
B1
Deconstruction: The Lindsay Shepherd Affair124:54

Deconstruction: The Lindsay Shepherd Affair

1
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The Neuroscience of Intelligence: Dr. Richard Haier84:32

The Neuroscience of Intelligence: Dr. Richard Haier

4
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TensorFlow 2.0 Crash Course133:17

TensorFlow 2.0 Crash Course

2
A2
Inside TensorFlow: TF-Agents49:59

Inside TensorFlow: TF-Agents

6
A2
GTAC 2011: The Latest in Google Test Tools57:25

GTAC 2011: The Latest in Google Test Tools

57
A2
TensorFlow in production: TF Extended, TF Hub, and TF Serving (Google I/O '18)36:49

TensorFlow in production: TF Extended, TF Hub, and TF Serving (Google I/O '18)

5
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Deep Q Learning w/ DQN - Reinforcement Learning p.532:19

Deep Q Learning w/ DQN - Reinforcement Learning p.5

9
B1
Inside the multibillion‑dollar business of dating apps | Econ World podcast28:27

Inside the multibillion‑dollar business of dating apps | Econ World podcast

1
B1
Lec 1 | MIT 14.01SC Principles of Microeconomics34:14

Lec 1 | MIT 14.01SC Principles of Microeconomics

195
A2
The new IFRS 9 hedging model - Financial Reporting Update (Deloitte Canada)88:30

The new IFRS 9 hedging model - Financial Reporting Update (Deloitte Canada)

44
B1
TensorFlow Extended (TFX): Machine Learning Pipelines and Model Understanding (Google I/O'19)37:51

TensorFlow Extended (TFX): Machine Learning Pipelines and Model Understanding (Google I/O'19)

2
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DEF CON 23 - Jason Haddix - How to Shot Web: Web and mobile hacking in 201548:23

DEF CON 23 - Jason Haddix - How to Shot Web: Web and mobile hacking in 2015

12
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Day 2 Keynote (TF World '19)89:35

Day 2 Keynote (TF World '19)

5
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Lecture - 2 Structure of Power Systems59:38

Lecture - 2 Structure of Power Systems

91
B1
Performant, scalable models in TensorFlow 2 with tf.data, tf.function & tf.distribute (TF World '19)40:35

Performant, scalable models in TensorFlow 2 with tf.data, tf.function & tf.distribute (TF World '19)

2
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AI has a tricky relationship with facts. Can that be fixed?41:27

AI has a tricky relationship with facts. Can that be fixed?

3
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