10,000 個「 Machine learning data sets 」的搜尋結果

依關聯性

VoiceTube 廣告

用TensorFlow和Keras學習閱讀(TF Dev Summit '20) (Learning to read with TensorFlow and Keras (TF Dev Summit '20))

15:36

用TensorFlow和Keras學習閱讀(TF Dev Summit '20) (Learning to read with TensorFlow and Keras (TF Dev Summit '20))

3

我們用人工智能發現了兩顆行星! (We Found Two Planets Using Artificial Intelligence!)

06:45

我們用人工智能發現了兩顆行星! (We Found Two Planets Using Artificial Intelligence!)

1

設計、機器學習和創造力(Google I/O '18) (Design, machine learning, and creativity (Google I/O '18))

35:42

設計、機器學習和創造力(Google I/O '18) (Design, machine learning, and creativity (Google I/O '18))

401

什麼是雲【數據科學101】？ (What is the cloud [Data Science 101])

03:16

什麼是雲【數據科學101】？ (What is the cloud [Data Science 101])

82

有監督的機器學習。Crash Course Statistics #36 (Supervised Machine Learning: Crash Course Statistics #36)

11:51

有監督的機器學習。Crash Course Statistics #36 (Supervised Machine Learning: Crash Course Statistics #36)

2

鯨歌與人工智能，供大家探討。 (Whale Songs and AI, for everyone to explore)

04:25

鯨歌與人工智能，供大家探討。 (Whale Songs and AI, for everyone to explore)

9

無監督學習 - 喬治亞理工學院 - 機器學習 (Unsupervised Learning - Georgia Tech - Machine Learning)

04:24

無監督學習 - 喬治亞理工學院 - 機器學習 (Unsupervised Learning - Georgia Tech - Machine Learning)

76

利用英特爾軟件工具加速機器學習｜英特爾軟件 (Accelerate Machine Learning with Intel Software Tools | Intel Software)

02:26

利用英特爾軟件工具加速機器學習｜英特爾軟件 (Accelerate Machine Learning with Intel Software Tools | Intel Software)

38

機器學習入門(ML Zero to Hero，第一部分) (Intro to Machine Learning (ML Zero to Hero, part 1))

07:18

機器學習入門(ML Zero to Hero，第一部分) (Intro to Machine Learning (ML Zero to Hero, part 1))

5

矢量--智慧的數學#3。 (Vectors - The Math of Intelligence #3)

10:59

矢量--智慧的數學#3。 (Vectors - The Math of Intelligence #3)

43

TensorFlow Extended（TFX）。機器學習管道和模型理解（Google I/O'19) (TensorFlow Extended (TFX): Machine Learning Pipelines and Model Understanding (Google I/O'19))

37:51

TensorFlow Extended（TFX）。機器學習管道和模型理解（Google I/O'19) (TensorFlow Extended (TFX): Machine Learning Pipelines and Model Understanding (Google I/O'19))

2

編寫公平與道德的人工智能與機器學習的遊戲手冊（Google I/O'19）。 (Writing the Playbook for Fair & Ethical Artificial Intelligence & Machine Learning (Google I/O'19))

27:05

編寫公平與道德的人工智能與機器學習的遊戲手冊（Google I/O'19）。 (Writing the Playbook for Fair & Ethical Artificial Intelligence & Machine Learning (Google I/O'19))

1

使用TensorFlow進行廣度和深度學習 - 機器學習 (Wide & Deep Learning with TensorFlow - Machine Learning)

03:25

使用TensorFlow進行廣度和深度學習 - 機器學習 (Wide & Deep Learning with TensorFlow - Machine Learning)

145

TensorFlow開發峰會2019主題演講 (TensorFlow Dev Summit 2019 Keynote)

31:43

TensorFlow開發峰會2019主題演講 (TensorFlow Dev Summit 2019 Keynote)

3

處理動態數據 - Computerphile (Dealing with Dynamic Data - Computerphile)

17:25

處理動態數據 - Computerphile (Dealing with Dynamic Data - Computerphile)

2

第01講--學習問題 (Lecture 01 - The Learning Problem)

81:28

第01講--學習問題 (Lecture 01 - The Learning Problem)

133

深度學習與AlphaGo--計算機戰勝人類#2》。 (Deep Learning and AlphaGo - Computers Beating Humans #2)

06:26

深度學習與AlphaGo--計算機戰勝人類#2》。 (Deep Learning and AlphaGo - Computers Beating Humans #2)

143

卷積網 - 第8集 (深度學習SIMPLIFIED) (Convolutional Nets - Ep. 8 (Deep Learning SIMPLIFIED))

08:16

卷積網 - 第8集 (深度學習SIMPLIFIED) (Convolutional Nets - Ep. 8 (Deep Learning SIMPLIFIED))

120

從原型到生產，輕鬆實現設備上的ML（TF Dev Summit '20）。 (Easy on-device ML from prototype to production (TF Dev Summit '20))

16:30

從原型到生產，輕鬆實現設備上的ML（TF Dev Summit '20）。 (Easy on-device ML from prototype to production (TF Dev Summit '20))

1

將人工智能和機器學習創新帶到醫療領域（Google I/O '18）。 (Bringing AI and machine learning innovations to healthcare (Google I/O '18))

32:51

將人工智能和機器學習創新帶到醫療領域（Google I/O '18）。 (Bringing AI and machine learning innovations to healthcare (Google I/O '18))

53

數據分析0：數據分析簡介--電腦愛好者篇。 (Data Analysis 0: Introduction to Data Analysis - Computerphile)

14:08

數據分析0：數據分析簡介--電腦愛好者篇。 (Data Analysis 0: Introduction to Data Analysis - Computerphile)

21

機器學習API實例（Google Cloud Next'17 (Machine Learning APIs by Example (Google Cloud Next '17))

38:36

機器學習API實例（Google Cloud Next'17 (Machine Learning APIs by Example (Google Cloud Next '17))

154

TensorFlow：開源的機器學習 (TensorFlow: Open source machine learning)

02:18

TensorFlow：開源的機器學習 (TensorFlow: Open source machine learning)

98

機器學習從零到英雄（Google I/O'19) (Machine Learning Zero to Hero (Google I/O'19))

35:33

機器學習從零到英雄（Google I/O'19) (Machine Learning Zero to Hero (Google I/O'19))

7

與Josh Gordon一起喝咖啡的機器學習--與Googler一起喝咖啡。 (Machine Learning over Coffee with Josh Gordon - Coffee with a Googler)

06:37

與Josh Gordon一起喝咖啡的機器學習--與Googler一起喝咖啡。 (Machine Learning over Coffee with Josh Gordon - Coffee with a Googler)

318

機器學習和TensorFlow的進展（Google I/O '18）。 (Advances in machine learning and TensorFlow (Google I/O '18))

42:15

機器學習和TensorFlow的進展（Google I/O '18）。 (Advances in machine learning and TensorFlow (Google I/O '18))

2

用TensorFlow構建AI：概述（TensorFlow @ O'Reilly AI大會，舊金山'18）。 (Building AI with TensorFlow: An Overview (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

42:53

用TensorFlow構建AI：概述（TensorFlow @ O'Reilly AI大會，舊金山'18）。 (Building AI with TensorFlow: An Overview (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

4

Jennifer Listgarten:CRISPR生物信息學--用於指南設計的機器學習預測模型 (Jennifer Listgarten: CRISPR Bioinformatics - Machine learning predictive models for guide design)

86:38

Jennifer Listgarten:CRISPR生物信息學--用於指南設計的機器學習預測模型 (Jennifer Listgarten: CRISPR Bioinformatics - Machine learning predictive models for guide design)

11

來自世界各地的優秀TensorFlow研究雲項目(TF World '19) (Great TensorFlow Research Cloud projects from around the world (TF World '19))

33:35

來自世界各地的優秀TensorFlow研究雲項目(TF World '19) (Great TensorFlow Research Cloud projects from around the world (TF World '19))

4

完整的數據科學培訓 (Complete Data Science Training)

01:50

完整的數據科學培訓 (Complete Data Science Training)

14

數據科學（Data Science in 8 Minutes | Data Science for Beginners | What is Data Science? | Edureka）

08:15

數據科學（Data Science in 8 Minutes | Data Science for Beginners | What is Data Science? | Edureka）

23

機器學習。關於班級 (Machine Learning: About the class)

01:59

機器學習。關於班級 (Machine Learning: About the class)

111

為你的JavaScript應用提供機器學習魔力（Google I/O'19) (Machine Learning Magic for Your JavaScript Application (Google I/O'19))

39:02

為你的JavaScript應用提供機器學習魔力（Google I/O'19) (Machine Learning Magic for Your JavaScript Application (Google I/O'19))

1

讓我們來寫一個管道--機器學習食譜#4。 (Let’s Write a Pipeline - Machine Learning Recipes #4)

07:54

讓我們來寫一個管道--機器學習食譜#4。 (Let’s Write a Pipeline - Machine Learning Recipes #4)

63

使用神經網絡和ML迴歸模型進行分類(#AskTensorFlow) (Classification using neural networks & ML regression models (#AskTensorFlow))

06:56

使用神經網絡和ML迴歸模型進行分類(#AskTensorFlow) (Classification using neural networks & ML regression models (#AskTensorFlow))

2

為什麼我需要元數據？(TensorFlow Extended) (Why do I need metadata? (TensorFlow Extended))

05:32

為什麼我需要元數據？(TensorFlow Extended) (Why do I need metadata? (TensorFlow Extended))

1

技術[數據科學101] (Technology [Data Science 101])

05:41

技術[數據科學101] (Technology [Data Science 101])

89

機器學習如何讓我們的決策變得更聰明？ (How Machine Learning Makes Our Decisions Smarter)

06:46

機器學習如何讓我們的決策變得更聰明？ (How Machine Learning Makes Our Decisions Smarter)

7

字幕已審核

機器學習與人類偏見 (Machine Learning and Human Bias)

02:33

機器學習與人類偏見 (Machine Learning and Human Bias)

12153

中文 B1 中級

如何架構一個協同的大數據平臺（Google Cloud Next '17）。 (How to architect a collaborative big data platform (Google Cloud Next '17))

33:12

如何架構一個協同的大數據平臺（Google Cloud Next '17）。 (How to architect a collaborative big data platform (Google Cloud Next '17))

309

深度學習解決挑戰性問題（Google I/O'19）。 (Deep Learning to Solve Challenging Problems (Google I/O'19))

40:59

深度學習解決挑戰性問題（Google I/O'19）。 (Deep Learning to Solve Challenging Problems (Google I/O'19))

4

機器學習在你的設備上。選項（Google I/O'19 (Machine Learning on Your Device: The Options (Google I/O'19))

38:32

機器學習在你的設備上。選項（Google I/O'19 (Machine Learning on Your Device: The Options (Google I/O'19))

4

無監督的機器學習。Crash Course Statistics #37 (Unsupervised Machine Learning: Crash Course Statistics #37)

10:56

無監督的機器學習。Crash Course Statistics #37 (Unsupervised Machine Learning: Crash Course Statistics #37)

3

由TensorFlow提供技術支持：利用機器學習幫助醫生檢測呼吸系統疾病。 (Powered by TensorFlow: Helping doctors detect respiratory diseases using machine learning)

03:12

由TensorFlow提供技術支持：利用機器學習幫助醫生檢測呼吸系統疾病。 (Powered by TensorFlow: Helping doctors detect respiratory diseases using machine learning)

7

由TensorFlow提供支持：利用機器學習幫助古籍整理者轉錄中世紀文本。 (Powered by TensorFlow: helping paleographers transcribe medieval text using machine learning)

02:59

由TensorFlow提供支持：利用機器學習幫助古籍整理者轉錄中世紀文本。 (Powered by TensorFlow: helping paleographers transcribe medieval text using machine learning)

1

為什麼雲計算對數據科學家至關重要？ (Why Cloud Computing is Critical for a Data Scientist)

07:42

為什麼雲計算對數據科學家至關重要？ (Why Cloud Computing is Critical for a Data Scientist)

11