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Introduction to Kaggle Kernels04:22

Introduction to Kaggle Kernels

41
B1
Prepare your dataset for machine learning (Coding TensorFlow)07:37

Prepare your dataset for machine learning (Coding TensorFlow)

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Let’s make a movie recommendation system: Crash Course AI #1614:41

Let’s make a movie recommendation system: Crash Course AI #16

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Plain and Simple Estimators (AI Adventures)05:47

Plain and Simple Estimators (AI Adventures)

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B1
Building dataset - Deep Learning in Halite AI competition p.336:15

Building dataset - Deep Learning in Halite AI competition p.3

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Working with TensorFlow Datasets (TensorFlow Meets)08:11

Working with TensorFlow Datasets (TensorFlow Meets)

1
A2
Why Skin Creams Give You Rashes06:58

Why Skin Creams Give You Rashes

6
B1
What Happens to the Human Body in Space?05:27

What Happens to the Human Body in Space?

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6 5 The CURE Algorithm 15 13 Advanced15:14

6 5 The CURE Algorithm 15 13 Advanced

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China Demos New QINGLONG AI Robot with 43 DoF (2024 WORLD ARTIFICIAL INTELLIGENCE CONFERENCE)08:29

China Demos New QINGLONG AI Robot with 43 DoF (2024 WORLD ARTIFICIAL INTELLIGENCE CONFERENCE)

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B1
Buffering dataset - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.311:37

Buffering dataset - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.3

13
A2
Cats Vs Dogs? Let's make an AI to settle this: Crash Course Ai #1913:05

Cats Vs Dogs? Let's make an AI to settle this: Crash Course Ai #19

80
A2
Differential Privacy - Simply Explained06:59

Differential Privacy - Simply Explained

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B1
Classifying Handwritten Digits with TF.Learn - Machine Learning Recipes #707:01

Classifying Handwritten Digits with TF.Learn - Machine Learning Recipes #7

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B1
6 3 The k Means Algorithm 12 4912:50

6 3 The k Means Algorithm 12 49

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The 7 Steps of Machine Learning10:36

The 7 Steps of Machine Learning

133
B1
Basic Computer Vision with ML (ML Zero to Hero, part 2)07:24

Basic Computer Vision with ML (ML Zero to Hero, part 2)

1
A2
Getting Started with Keras08:11

Getting Started with Keras

8
B1
Machine Learning Fairness: Lessons Learned (Google I/O'19)36:23

Machine Learning Fairness: Lessons Learned (Google I/O'19)

10
B1
Distributed Processing and Components (TensorFlow Extended)11:48

Distributed Processing and Components (TensorFlow Extended)

6
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How kNN algorithm works04:42

How kNN algorithm works

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B1
Introduction to Ellipsometry and Polarized Light04:31

Introduction to Ellipsometry and Polarized Light

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B2
Lecture 2 | Image Classification59:32

Lecture 2 | Image Classification

18
B1
AI Learns to Write Rap Lyrics!16:03

AI Learns to Write Rap Lyrics!

19
B2
General Sequence Learning using Recurrent Neural Networks36:50

General Sequence Learning using Recurrent Neural Networks

217
B1
Style Transfer using Spell with Yining Shi86:41

Style Transfer using Spell with Yining Shi

6
A2
The AI that creates any picture you want, explained13:33

The AI that creates any picture you want, explained

23
B1
Make an AI sound like a YouTuber (LAB): Crash Course AI #816:00

Make an AI sound like a YouTuber (LAB): Crash Course AI #8

5
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Data analytics making sense of complex earth processes02:09

Data analytics making sense of complex earth processes

112
B1
Real-World Robot Learning (TensorFlow Dev Summit 2018)10:02

Real-World Robot Learning (TensorFlow Dev Summit 2018)

2
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Using TensorBoard with Keras (TensorFlow Tip of the Week)01:58

Using TensorBoard with Keras (TensorFlow Tip of the Week)

3
B1
1 1 Data Terminology and Notation SRM Coaching Actuaries08:46

1 1 Data Terminology and Notation SRM Coaching Actuaries

11
B2
What Makes a Good Feature? - Machine Learning Recipes #305:41

What Makes a Good Feature? - Machine Learning Recipes #3

53
A2
TF Lattice: Control Your ML with Monotonicity (TF Dev Summit '19)05:07

TF Lattice: Control Your ML with Monotonicity (TF Dev Summit '19)

1
B1
Writing Our First Classifier - Machine Learning Recipes #508:44

Writing Our First Classifier - Machine Learning Recipes #5

93
B1
Data Analysis 1: What is Data? - Computerphile12:15

Data Analysis 1: What is Data? - Computerphile

42
B1
Why is Linear Algebra Useful?09:57

Why is Linear Algebra Useful?

5
B1
Performance profiling in TF 2 (TF Dev Summit '20)09:47

Performance profiling in TF 2 (TF Dev Summit '20)

5
B1
Cutting Edge TensorFlow: New Techniques (Google I/O'19)37:32

Cutting Edge TensorFlow: New Techniques (Google I/O'19)

2
B1
Skewness02:49

Skewness

9
B2
What is machine learning, and how does it work?10:21

What is machine learning, and how does it work?

60
B1
Understanding the Normal Distribution [Statistics Tutorial]03:54

Understanding the Normal Distribution [Statistics Tutorial]

2
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Do Violent Protests Actually Work?03:57

Do Violent Protests Actually Work?

3
B1
When It's OK to Violate Privacy02:33

When It's OK to Violate Privacy

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B1
TensorFlow Dev Summit 2019 Livestream541:44

TensorFlow Dev Summit 2019 Livestream

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Using GPUs in TensorFlow, TensorBoard in notebooks, finding new datasets, & more! (#AskTensorFlow)12:56

Using GPUs in TensorFlow, TensorBoard in notebooks, finding new datasets, & more! (#AskTensorFlow)

2
A2