Machine Learning: DL, A.I., and Robotics
245 videos • 17 views • by The Sunlit
1
Effective TensorFlow for Non-Experts (Google I/O '17)
Google for Developers
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2
TensorFlow and Deep Learning without a PhD, Part 1 (Google Cloud Next '17)
Google Cloud Tech
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3
Open Source TensorFlow Models (Google I/O '17)
Google for Developers
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4
Project Magenta: Music and Art with Machine Learning (Google I/O '17)
Google for Developers
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5
[Private video]
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6
Resume for Machine Learning
Siraj Raval
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7
[Private video]
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8
Andrew Trask - Really Quick Questions with an AI Researcher
Siraj Raval
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9
How Ziva Dynamics uses AI to enhance CGI visual effects (VFX)
Welcome.AI
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10
The Next Leap: How A.I. will change the 3D industry - Andrew Price
Blender
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11
The 7 steps of machine learning
Google Cloud Tech
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12
But what is a neural network? | Deep learning chapter 1
3Blue1Brown
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13
Gradient descent, how neural networks learn | DL2
3Blue1Brown
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14
Backpropagation, step-by-step | DL3
3Blue1Brown
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Backpropagation calculus | DL4
3Blue1Brown
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16
Playing Guitar in a Self-Driving Car
Lex Fridman
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17
Self driving car neural network in the city - Python plays GTA with Tensor Flow p.14
sentdex
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18
China: facial recognition and state control
The Economist
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19
Heroes of Deep Learning: Andrew Ng interviews Yoshua Bengio
Preserve Knowledge
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20
5 Steps to Pass Data Science Interviews
Siraj Raval
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21
Artificial Intelligence Vs Machine Learning Vs Data science Vs Deep learning
IoTRecruiting
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22
Deep Learning State of the Art (2019) - MIT
Lex Fridman
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23
I Forced a Drone Bot To Follow Me
Jabrils
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24
Deep Learning Frameworks Compared
Siraj Raval
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25
PyTorch vs TensorFlow: The Force Is Strong With Which One? | Which One You Should Learn? | Edureka
edureka!
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26
Keras vs Tensorflow vs PyTorch | Deep Learning Frameworks Comparison | Edureka
edureka!
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27
Really Quick Questions with Siraj Raval
Siraj Raval
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28
Pieter Abbeel - Really Quick Questions with a Berkeley Professor
Siraj Raval
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29
Really Quick Questions with Sebastian Thrun
Siraj Raval
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30
How to Read Math Equations
Siraj Raval
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31
Calculus - The basic rules for derivatives
MySecretMathTutor
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32
How to Do Linear Regression using Gradient Descent
Siraj Raval
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33
The Best Way to Prepare a Dataset Easily
Siraj Raval
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34
AI vs Machine Learning vs Deep Learning | AI vs ML vs DL - Differences Explained | Edureka
edureka!
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35
Learn Machine Learning in 3 Months (with curriculum)
Siraj Raval
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36
Recurrent Neural Networks (RNN) | RNN LSTM | Deep Learning Tutorial | Tensorflow Tutorial | Edureka
edureka!
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37
DensePose - 3D Machine Vision
Siraj Raval
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38
Data Scientist From Tinder Gives Dating Advice
Joma Tech
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39
Catherine Olsson - Really Quick Questions with an OpenAI Engineer
Siraj Raval
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40
Dandelion Mane - Really Quick Questions with a Tensorflow Engineer
Siraj Raval
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41
Joel Shor - Really Quick Questions with an Awesome Google Engineer
Siraj Raval
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42
67 Questions with a Lyft Data Scientist
Siraj Raval
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43
5 Tips For Getting A Data Science Job
Joma Tech
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44
What REALLY is Data Science? Told by a Data Scientist
Joma Tech
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45
3 Types of Data Science Interview Questions
Joma Tech
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46
[Private video]
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47
The Best Way to Visualize a Dataset Easily
Siraj Raval
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48
Intro to Data Analysis / Visualization with Python, Matplotlib and Pandas | Matplotlib Tutorial
CS Dojo
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49
A.I. Experiments: Visualizing High-Dimensional Space
Google for Developers
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50
Geoffrey Hinton: What is wrong with convolutional neural nets? | Fields Institute, 2017
Preserve Knowledge
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51
Research in Focus: Deep Learning Research and the Future of AI
Microsoft Research
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52
Top data scientist D J Patil's Tips to Build a Career in Data
FactorDaily
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53
Illustrated Guide to LSTM's and GRU's: A step by step explanation
The AI Hacker
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54
Dimensionality Reduction - The Math of Intelligence #5
Siraj Raval
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55
[Private video]
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56
How to implement CapsNets using TensorFlow
Aurélien Géron
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57
Is Data Science A Viable Career Path?
The Daily Blob
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58
Kaggle Challenge (LIVE)
Siraj Raval
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59
How to Make a Data Science Project with Kaggle
Google Cloud Tech
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60
Introduction to Kaggle Kernels
Google Cloud Tech
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61
Code with me (live): How to make your first Kaggle submission from scratch!
Daniel Bourke
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62
Beginner's Guide to Machine Learning Competitions
PyTexas
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63
How To Win Kaggle Competitions: Hear Owen Zhang Spill His Secrets
Lillian Pierson, 𝗙𝗿𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗠𝗢
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64
Hyperparameter Tuning in Practice (C2W3L03)
DeepLearningAI
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65
Jaroslaw Szymczak - Gradient Boosting in Practice: a deep dive into xgboost
PyData
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66
Wrangling Data with Pandas
Google Cloud Tech
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67
How to Do Sentiment Analysis - Intro to Deep Learning #3
Siraj Raval
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68
Sentiment Analysis in Python with TextBlob and VADER Sentiment (also Dash p.6)
sentdex
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69
[Private video]
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70
A Quick Guide To Sentiment Analysis | Sentiment Analysis In Python Using Textblob | Edureka
edureka!
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71
Twitter Sentiment Analysis - Learn Python for Data Science #2
Siraj Raval
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72
Natural Language Processing (NLP) & Text Mining Tutorial Using NLTK | NLP Training | Edureka
edureka!
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73
Lessons Learned from Tens of Thousands of Kaggle Notebooks
O'Reilly
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74
What Kaggle has learned from almost a million data scientists - Anthony Goldbloom (Kaggle)
O'Reilly
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75
AI Adventures: art, science, and tools of machine learning (Google I/O '18)
Google Cloud Tech
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76
Episode 514: Zach Miller on Data Science Myths
Technology and Friends
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77
Dispelling Data Science Myths for Beginners
IDEAS
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78
[Private video]
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79
The human insights missing from big data | Tricia Wang
TED
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80
The most important skills of data scientists | Jose Miguel Cansado | TEDxIEMadrid
TEDx Talks
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81
AI & The Future of Work | Volker Hirsch | TEDxManchester
TEDx Talks
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82
[Private video]
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83
Big Data and its implications for research, with Alex Pentland, PhD | Speaking of Psychology
American Psychological Association
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84
Mathematics of Data Science - Data Science is Everywhere
Society for Industrial and Applied Mathematics (SIAM)
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85
Week 8, should I get a PhD, if so in what?
Brian Caffo
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86
Week 3 Data Scientist Versus Statistician
Brian Caffo
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87
Week 9 Machine Learning versus classical statistics
Brian Caffo
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88
Mathematics of Dopamine
Siraj Raval
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89
How to Read a Research Paper
Siraj Raval
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90
[Machine Learning] Linear Regression using Least Square Error, Gradient Descent
Minsuk Heo 허민석
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91
Beginner Intro to Neural Networks 5: Squared Error Cost Function
giant_neural_network
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92
Beginner Intro to Neural Networks 6: Slope of the Cost Function
giant_neural_network
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93
Tic Tac Toe A.I.
giant_neural_network
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94
AI CAR LEARNS TO AVOID INCOMING TRAFFIC (sort of self-driving car)
ROBY
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95
Beginner Intro to Neural Networks 7: Slope of Cost + Simple Train in Python
giant_neural_network
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96
Beginner Intro to Neural Networks 8: Linear Regression
giant_neural_network
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97
Beginner Intro to Neural Networks 9: Linear Regression Cost
giant_neural_network
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98
Is MS in Business Analytics or MS in Data Science really for you? Think again!
Yudi J
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99
Are Data Science Masters Worth It
Mark Meloon
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100
What Recruiters Look For In Data Scientists
Mark Meloon
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101
Kaggle: How to Place in the Top 10% (part 1)
Jeff Heaton
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102
On Deep Learning with Ian Goodfellow, Andrew Trask, Kelvin Lwin, Siraj Raval and the Udacity Team
Udacity
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103
Is this the BEST BOOK on Machine Learning? Hands On Machine Learning Review
Python Programmer
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104
Kaggle Challenge (LIVE)
Siraj Raval
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105
Kaggle - Titanic Solution [1/3] - data analysis
Minsuk Heo 허민석
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106
Kaggle - Titanic Solution [3/3] - Classifier, Cross Validation
Minsuk Heo 허민석
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107
Real Talk with Instagram Data Scientist
Springboard
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101
Kaggle: How to Place in the Top 10% (part 1)
Jeff Heaton
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102
On Deep Learning with Ian Goodfellow, Andrew Trask, Kelvin Lwin, Siraj Raval and the Udacity Team
Udacity
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103
Is this the BEST BOOK on Machine Learning? Hands On Machine Learning Review
Python Programmer
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104
Kaggle Challenge (LIVE)
Siraj Raval
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105
Kaggle - Titanic Solution [1/3] - data analysis
Minsuk Heo 허민석
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106
Kaggle - Titanic Solution [3/3] - Classifier, Cross Validation
Minsuk Heo 허민석
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107
Real Talk with Instagram Data Scientist
Springboard
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108
[Data Science YVR] How to (almost) win at Kaggle - Kiri Nichol
Polyglot Software Association
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109
Fans use Machine Learning to HD Remaster Final Fantasy VII
The Night Sky Prince
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110
Gigs: A day in the life of a data scientist
RCR Wireless News
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111
How to Write a Research Paper
Siraj Raval
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112
Build your own "Not Hotdog" deep learning model
PyGotham 2017
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113
CogX 2018 - Symbolic Methods Coming Back | CogX
CogX
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114
Data scientist archetypes
Brandon Rohrer
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115
How Support Vector Machines work / How to open a black box
Brandon Rohrer
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116
[Private video]
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117
Intro to Statistics
Siraj Raval
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118
Can You Become a Data Scientist?
365 Data Science
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119
Python Tutorial for Beginners: Python Variables
365 Data Science
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120
Python Tutorial for Beginners: Understand Python Data Types in 10 minutes
365 Data Science
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121
Which Activation Function Should I Use?
Siraj Raval
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122
Stochastic Gradient Descent
Udacity
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123
What is Deep Learning?
Udacity
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124
Prof. Brian Cox - Machine Learning & Artificial Intelligence - Royal Society
The Artificial Intelligence Channel
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125
Learn Deep Learning in 6 Weeks
Siraj Raval
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126
Prof. Geoffrey Hinton - Artificial Intelligence Will Almost Certainly Surpass Humans
The Artificial Intelligence Channel
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127
Data Wrangling: Part 1
myAcademic-Scholartica
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128
What is data wrangling? Intro, Motivation, Outline, Setup -- Pt. 1 Data Wrangling Introduction
Posit PBC
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129
Python For Data Analysis | Data Analysis Using Python | Python Data Analysis Tutorial | Edureka
edureka!
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130
NVIDIA's Image Restoration AI: Almost Perfect!
Two Minute Papers
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131
Random Forest in 7 minutes
Augmented AI
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132
Will AI Take Over the Jobs? - Jack Ma Speaks on AI Vs Machine Learning Vs Data Science
ACADGILD
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133
Daniel Chen: Cleaning and Tidying Data in Pandas | PyData DC 2018
PyData
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134
KAGGLE/WSDM 2018 Winning Solution - Predicting Customer Churn - XGBoost with Temporal Data
Bryan
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135
Machine Learning Fundamentals: Bias and Variance
StatQuest with Josh Starmer
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136
Machine Learning Fundamentals: The Confusion Matrix
StatQuest with Josh Starmer
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137
StatQuest: Logistic Regression
StatQuest with Josh Starmer
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138
Data Science at Work | Peter Grindrod | TEDxNewcastle
TEDx Talks
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139
Data science and our magical mind: Scott Mongeau at TEDxRSM
TEDx Talks
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140
Big Data and the Rise of Augmented Intelligence: Sean Gourley at TEDxAuckland
TEDx Talks
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141
RI Seminar: Jeff Schneider : Self Driving Cars and AI
CMU Robotics Institute
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142
AlphaGo - How AI mastered the hardest boardgame in history
Arxiv Insights
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143
DeepMind DQN Tutorial - Installation and explanation of the Atari-playing agent
James Brady
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144
DeepMind AlphaGo Zero Explained
Siraj Raval
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145
This algorithm decodes rat squeaks and could revolutionize animal research
Verge Science
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146
Machine Learning Interview Questions & Answers | Machine Learning Interview Preparation |Simplilearn
Simplilearn
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147
Data Science Interview Questions | Data Science Interview Questions Answers And Tips | Simplilearn
Simplilearn
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148
[Private video]
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149
Introduction to Web Scraping with Python and Beautiful Soup
Data Science Dojo
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150
Generative Adversarial Networks (GANs) - How and Why They Work
Zenva
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151
You have doppelgängers. They’re quietly influencing your life. | Seth Stephens-Davidowitz
Big Think
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152
This Curious AI Beats Many Games...and Gets Addicted to the TV
Two Minute Papers
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153
Real Talk with SurveyMonkey Machine Learning Engineer
Springboard
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154
Real Talk with Airbnb Machine Learning Engineer
Springboard
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155
How can a data scientist transition to a machine learning engineer role?
Springboard
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156
Introduction to Pandas with the Titanic Dataset
Mike Bernico
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157
Full Titanic Example with Random Forest
Mike Bernico
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158
Predicting Survival of a Passenger on Titanic with Scikit-Learn | Python | Pandas | LinearSVC
arijit mukherjee
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159
Machine Learning with Python - Part 1: Spotify EDA
Wes Doyle
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160
Python solution for Kaggle competition on Titanic disaster
Krish Narukulla
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161
Data Science Workflow (HD)
Adam
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162
Building the Network - Using Convolutional Neural Network to Identify Dogs vs Cats p. 2
sentdex
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163
Real Talk with Google Data Scientist (with a PhD in Physics)
Springboard
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164
Do Neural Networks Need To Think Like Humans?
Two Minute Papers
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165
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras FI
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166
Machine Learning with No Code
Siraj Raval
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167
Algorithms: Killing Jobs, Narrowing Our Personalities, says Douglas Rushkoff | Big Think
Big Think
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168
AI Codes its Own ‘AI Child’ - Artificial Intelligence breakthrough!
ColdFusion
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169
How AI Creates 3D Materials from Photography
NVIDIA
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170
AI Creates Facial Animation From Audio | Two Minute Papers #185
Two Minute Papers
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171
41. Data Science with Python - Matplotlib Visualization
Data Warrior
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172
Webinar: Data Science for Beginners - How to Get Started
365 Data Science
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173
Really Quick Questions - Nvidia Research
Siraj Raval
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174
Natural Language Processing
Siraj Raval
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175
Watch Me Build an AI Startup
Siraj Raval
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176
How to Build a Compelling Data Science Portfolio & Resume | Kaggle
Kaggle
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177
PyTorch Tensors Explained - Neural Network Programming
deeplizard
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178
PyTorch Datasets and DataLoaders - Training Set Exploration for Deep Learning and AI
deeplizard
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179
PyTorch Explained - Python Deep Learning Neural Network API
deeplizard
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180
A Short Introduction to Entropy, Cross-Entropy and KL-Divergence
Aurélien Géron
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181
Loss Functions Explained
Siraj Raval
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182
[Private video]
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183
Machine Learning in Neuroscience
Siraj Raval
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184
Hadley Wickham – “You can't do data science in a GUI”
Association for Computing Machinery (ACM)
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185
12.1: What is word2vec? - Programming with Text
The Coding Train
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186
The Evolution of Gradient Descent
Siraj Raval
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187
Yelp Dataset Challenge Winners: How they turned a machine into an artist
Yelp
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188
A Guide to Building Your First Decentralized Application
Siraj Raval
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189
School of AI Research Fellows
Siraj Raval
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190
Live Coding A Machine Learning Model from Scratch (Google I/O'19)
Google Cloud Tech
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191
How AI will liberate doctors from keyboards and basements | Eric Topol | Big Think
Big Think
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192
CUDA Explained - Why Deep Learning uses GPUs
deeplizard
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193
Tensors Explained - Data Structures of Deep Learning
deeplizard
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194
Rank, Axes, and Shape Explained - Tensors for Deep Learning
deeplizard
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195
Code for Deep Learning - ArgMax and Reduction Tensor Ops
deeplizard
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196
Yolov3 Object Detection Tutorial #3 - Web Scrape Images | OpenCV Python | Computer Vision 2020
Augmented AI
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197
Yolo v3 Object Detection - How to Implement Yolo V3 Object Detection on Windows with GPU | Tut #1
Augmented AI
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198
Build PyTorch CNN - Object Oriented Neural Networks
deeplizard
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199
CNN Layers - PyTorch Deep Neural Network Architecture
deeplizard
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200
Numenta Explained
Siraj Raval
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201
Why everyone should be data literate | Jordan Morrow | TEDxBoise
TEDx Talks
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202
CNN Training with Code Example - Neural Network Programming Course
deeplizard
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203
John Wilkins - Frequentism vs Bayesianism
Science, Technology & the Future
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