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

依關聯性

VoiceTube 廣告

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

數據分析讓複雜的地球過程變得有意義 (Data analytics making sense of complex earth processes)

02:09

數據分析讓複雜的地球過程變得有意義 (Data analytics making sense of complex earth processes)

112

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

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

Oliver Zeigermann - 高級用戶體驗與tensorflow.js | JSUnconf 2019 (Oliver Zeigermann - Advanced UX with tensorflow.js | JSUnconf 2019)

29:10

Oliver Zeigermann - 高級用戶體驗與tensorflow.js | JSUnconf 2019 (Oliver Zeigermann - Advanced UX with tensorflow.js | JSUnconf 2019)

5

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

簡單明瞭的估算器(AI歷險記) (Plain and Simple Estimators (AI Adventures))

05:47

簡單明瞭的估算器(AI歷險記) (Plain and Simple Estimators (AI Adventures))

57

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

一個老問題--第5集（深度學習SIMPLIFIED）。 (An Old Problem - Ep. 5 (Deep Learning SIMPLIFIED))

05:25

一個老問題--第5集（深度學習SIMPLIFIED）。 (An Old Problem - Ep. 5 (Deep Learning SIMPLIFIED))

1312

We’re already using AI more than we realize

06:32

We’re already using AI more than we realize

18

分佈式TensorFlow訓練（谷歌I/O'18 (Distributed TensorFlow training (Google I/O '18))

35:27

分佈式TensorFlow訓練（谷歌I/O'18 (Distributed TensorFlow training (Google I/O '18))

2

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

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

神經網絡和深度學習。AI速成班#3 (Neural Networks and Deep Learning: Crash Course AI #3)

12:23

神經網絡和深度學習。AI速成班#3 (Neural Networks and Deep Learning: Crash Course AI #3)

2

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

第2天主題演講（TF World '19) (Day 2 Keynote (TF World '19))

89:35

第2天主題演講（TF World '19) (Day 2 Keynote (TF World '19))

3

TensorFlow開發峰會2020主題演講 (TensorFlow Dev Summit 2020 Keynote)

31:12

TensorFlow開發峰會2020主題演講 (TensorFlow Dev Summit 2020 Keynote)

1

回答你最新的TensorFlow問題#AskTensorFlow (Answering your latest TensorFlow questions! #AskTensorFlow)

11:56

回答你最新的TensorFlow問題#AskTensorFlow (Answering your latest TensorFlow questions! #AskTensorFlow)

3

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

計算機科學地圖 (Map of Computer Science)

10:58

計算機科學地圖 (Map of Computer Science)

219

中文 B1 中級

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

12.1:什麼是word2vec？- 使用文本編程 (12.1: What is word2vec? - Programming with Text)

10:20

12.1:什麼是word2vec？- 使用文本編程 (12.1: What is word2vec? - Programming with Text)

3

Swift for TensorFlow (Google I/O'19) (Swift for TensorFlow (Google I/O'19))

28:25

Swift for TensorFlow (Google I/O'19) (Swift for TensorFlow (Google I/O'19))

3

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

S1E3:Gilbert Strang教授讓深度學習變得人性化 (S1E3: Making Deep Learning Human with Prof. Gilbert Strang)

10:48

S1E3:Gilbert Strang教授讓深度學習變得人性化 (S1E3: Making Deep Learning Human with Prof. Gilbert Strang)

4

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

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

第1課：編碼人員的實用深度學習 (Lesson 1: Practical Deep Learning for Coders)

98:46

第1課：編碼人員的實用深度學習 (Lesson 1: Practical Deep Learning for Coders)

504

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

機器的崛起--為什麼這次自動化不一樣？ (The Rise of the Machines – Why Automation is Different this Time)

11:41

機器的崛起--為什麼這次自動化不一樣？ (The Rise of the Machines – Why Automation is Different this Time)

587

中文 B1 中級

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

ml5.js: 訓練你自己的神經網絡 (ml5.js: Train Your Own Neural Network)

34:49

ml5.js: 訓練你自己的神經網絡 (ml5.js: Train Your Own Neural Network)

1

TensorFlow在生產中。TF Extended、TF Hub和TF Serving (Google I/O '18) (TensorFlow in production: TF Extended, TF Hub, and TF Serving (Google I/O '18))

36:49

TensorFlow在生產中。TF Extended、TF Hub和TF Serving (Google I/O '18) (TensorFlow in production: TF Extended, TF Hub, and TF Serving (Google I/O '18))

4

什麼是人工智能（或機器學習）？ (What is Artificial Intelligence (or Machine Learning)?)

06:15

什麼是人工智能（或機器學習）？ (What is Artificial Intelligence (or Machine Learning)?)

342

中文 B1 中級

機器學習。谷歌的願景--谷歌I/O 2016 (Machine Learning: Google's Vision - Google I/O 2016)

44:45

機器學習。谷歌的願景--谷歌I/O 2016 (Machine Learning: Google's Vision - Google I/O 2016)

407

用TensorFlow負責任的AI（TF Dev Summit '20）。 (Responsible AI with TensorFlow (TF Dev Summit '20))

21:52

用TensorFlow負責任的AI（TF Dev Summit '20）。 (Responsible AI with TensorFlow (TF Dev Summit '20))

2

利用高性能計算進行基礎科學的深度學習（O'Reilly AI Conference）。 (Deep learning for fundamental sciences using high-performance computing (O’Reilly AI Conference))

26:36

利用高性能計算進行基礎科學的深度學習（O'Reilly AI Conference）。 (Deep learning for fundamental sciences using high-performance computing (O’Reilly AI Conference))

1

TensorFlow Lite for on-device ML (TensorFlow Meets) (TensorFlow Lite for on-device ML (TensorFlow Meets))

07:24

TensorFlow Lite for on-device ML (TensorFlow Meets) (TensorFlow Lite for on-device ML (TensorFlow Meets))

2

如果機器人掌管世界會怎樣？| 如果機器人掌管世界，會怎樣？ (What if robots were in charge of the world? | BBC Ideas)

04:05

如果機器人掌管世界會怎樣？| 如果機器人掌管世界，會怎樣？ (What if robots were in charge of the world? | BBC Ideas)

32

Scott Hanselman的最佳演示!物聯網、Azure、機器學習等。 (Scott Hanselman’s best demo! IoT, Azure, Machine Learning & more)

14:31

Scott Hanselman的最佳演示!物聯網、Azure、機器學習等。 (Scott Hanselman’s best demo! IoT, Azure, Machine Learning & more)

60