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

依關聯性

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數據科學家與人工智能工程師 (Data Scientist vs. AI Engineer)

10:39

數據科學家與人工智能工程師 (Data Scientist vs. AI Engineer)

8

中文 B1 中級

結合多個數據集--用Python和Pandas進行數據分析 p.5 (Combining multiple datasets - Data Analysis with Python and Pandas p.5)

32:13

結合多個數據集--用Python和Pandas進行數據分析 p.5 (Combining multiple datasets - Data Analysis with Python and Pandas p.5)

2

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

TFX：TensorFlow的端到端機器學習平臺(TensorFlow Meets) (TFX: an end-to-end machine learning platform for TensorFlow (TensorFlow Meets))

06:24

TFX：TensorFlow的端到端機器學習平臺(TensorFlow Meets) (TFX: an end-to-end machine learning platform for TensorFlow (TensorFlow Meets))

5

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

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

用TensorFlow為詩人訓練影像分類器--機器學習食譜#6。 (Train an Image Classifier with TensorFlow for Poets - Machine Learning Recipes #6)

07:07

用TensorFlow為詩人訓練影像分類器--機器學習食譜#6。 (Train an Image Classifier with TensorFlow for Poets - Machine Learning Recipes #6)

43

一熱編碼的演示（TensorFlow一週小技巧）。 (A demo of One Hot Encoding (TensorFlow Tip of the Week))

04:33

一熱編碼的演示（TensorFlow一週小技巧）。 (A demo of One Hot Encoding (TensorFlow Tip of the Week))

6

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

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

神經結構化學習--第二部分：用自然圖訓練 (Neural Structured Learning - Part 2: Training with natural graphs)

05:12

神經結構化學習--第二部分：用自然圖訓練 (Neural Structured Learning - Part 2: Training with natural graphs)

2

用TensorFlow進行深度學習--TensorFlow介紹 (Deep Learning with TensorFlow - Introduction to TensorFlow)

05:38

用TensorFlow進行深度學習--TensorFlow介紹 (Deep Learning with TensorFlow - Introduction to TensorFlow)

177

與圖靈獎得主、深度學習先驅Geoffrey Hinton的爐邊談話（Google I/O'19）。 (A Fireside Chat with Turing Award Winner Geoffrey Hinton, Pioneer of Deep Learning (Google I/O'19))

39:02

與圖靈獎得主、深度學習先驅Geoffrey Hinton的爐邊談話（Google I/O'19）。 (A Fireside Chat with Turing Award Winner Geoffrey Hinton, Pioneer of Deep Learning (Google I/O'19))

3

可視化相關表--用Python和Pandas進行數據分析 p.4 (Visualizing Correlation Table - Data Analysis with Python and Pandas p.4)

20:39

可視化相關表--用Python和Pandas進行數據分析 p.4 (Visualizing Correlation Table - Data Analysis with Python and Pandas p.4)

4

(HD*CC*Subbed) X JAPAN - CRUCIFY MY LOVE / DAHLIA TOUR FINAL (高清*CC*subbed) ((HD*CC*Subbed) X JAPAN - CRUCIFY MY LOVE / DAHLIA TOUR FINAL)

04:30

(HDCCSubbed) X JAPAN - CRUCIFY MY LOVE / DAHLIA TOUR FINAL (高清CCsubbed) ((HDCCSubbed) X JAPAN - CRUCIFY MY LOVE / DAHLIA TOUR FINAL)

74

數據科學的招聘[數據科學101]。 (Recruiting for data science [Data Science 101])

07:41

數據科學的招聘[數據科學101]。 (Recruiting for data science [Data Science 101])

55

Runway的介紹。創客的機器學習（第一部分 (Introduction to Runway: Machine Learning for Creators (Part 1))

17:40

Runway的介紹。創客的機器學習（第一部分 (Introduction to Runway: Machine Learning for Creators (Part 1))

2

TensorFlow高級API。第3部分 - 構建和完善你的模型 (TensorFlow high-level APIs: Part 3 - Building and refining your models)

07:26

TensorFlow高級API。第3部分 - 構建和完善你的模型 (TensorFlow high-level APIs: Part 3 - Building and refining your models)

2

揭穿關於AI的10個常見誤區 (Debunking 10 Common Misconceptions about AI)

09:46

揭穿關於AI的10個常見誤區 (Debunking 10 Common Misconceptions about AI)

5

TensorFlow.js將機器學習帶入網絡及其他領域，由Nick Kreeger和Nikhil Thorat撰寫。 (TensorFlow.js Bringing Machine Learning to the Web and Beyond by Nick Kreeger & Nikhil Thorat)

20:21

TensorFlow.js將機器學習帶入網絡及其他領域，由Nick Kreeger和Nikhil Thorat撰寫。 (TensorFlow.js Bringing Machine Learning to the Web and Beyond by Nick Kreeger & Nikhil Thorat)

3

機器學習如何幫助識別洛杉磯道路上的坑洞？ (How machine learning helps identify potholes on Los Angeles roads)

01:01

機器學習如何幫助識別洛杉磯道路上的坑洞？ (How machine learning helps identify potholes on Los Angeles roads)

109

中文 A2 初級

充分利用Colab (TF開發峰會'20) (Making the most of Colab (TF Dev Summit '20))

06:44

充分利用Colab (TF開發峰會'20) (Making the most of Colab (TF Dev Summit '20))

7

TensorFlow 2.0介紹。對初學者來說更容易，對專家來說更強大 (TF World '19) (Introduction to TensorFlow 2.0: Easier for beginners, and more powerful for experts (TF World '19))

40:56

TensorFlow 2.0介紹。對初學者來說更容易，對專家來說更強大 (TF World '19) (Introduction to TensorFlow 2.0: Easier for beginners, and more powerful for experts (TF World '19))

1

2020年如何成為一名數據工程師 (How to Become a Data Engineer in 2020)

08:22

2020年如何成為一名數據工程師 (How to Become a Data Engineer in 2020)

4

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 Extended (TFX) & Hub (TensorFlow @ O Reilly AI Conference, San Francisco '18) (TensorFlow Extended (TFX) & Hub (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

41:41

TensorFlow Extended (TFX) & Hub (TensorFlow @ O Reilly AI Conference, San Francisco '18) (TensorFlow Extended (TFX) & Hub (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

2

Spell（用於雲端機器學習）介紹。 (Introduction to Spell (for Machine Learning in the Cloud))

26:08

Spell（用於雲端機器學習）介紹。 (Introduction to Spell (for Machine Learning in the Cloud))

3

AI for Good Panel--精準醫療--SXSW 2017--#IntelAI--#theCUBE。 (AI for Good Panel - Precision Medicine - SXSW 2017 - #IntelAI - #theCUBE)

64:20

AI for Good Panel--精準醫療--SXSW 2017--#IntelAI--#theCUBE。 (AI for Good Panel - Precision Medicine - SXSW 2017 - #IntelAI - #theCUBE)

174

採訪我的兄弟，他以6000萬美元賣掉了他的創業公司｜機器學習工程師。 (Interview With My Brother Who Sold His Startup For $60 Million | Machine Learning Engineer)

29:20

採訪我的兄弟，他以6000萬美元賣掉了他的創業公司｜機器學習工程師。 (Interview With My Brother Who Sold His Startup For $60 Million | Machine Learning Engineer)

4

字幕已審核

人工智慧越發先進、各種聊天機器人爭相出現，我們該如何預防 AI 亂象呢？（How to stop AI going rogue）

05:24

人工智慧越發先進、各種聊天機器人爭相出現，我們該如何預防 AI 亂象呢？（How to stop AI going rogue）

28757

中文 B1 中級

機器學習如何推動深層欺詐世界的發展？ (How Machine Learning Drives the Deceptive World of Deepfakes)

07:32

機器學習如何推動深層欺詐世界的發展？ (How Machine Learning Drives the Deceptive World of Deepfakes)

6

機器學習與藝術--谷歌I/O 2016 (Machine learning & art - Google I/O 2016)

42:36

機器學習與藝術--谷歌I/O 2016 (Machine learning & art - Google I/O 2016)

141

TensorFlow概率。充滿信心地學習 (TF Dev Summit '19) (TensorFlow Probability: Learning with confidence (TF Dev Summit '19))

13:57

TensorFlow概率。充滿信心地學習 (TF Dev Summit '19) (TensorFlow Probability: Learning with confidence (TF Dev Summit '19))

2

雷諾鑫｜火花峰會2017 (Reynold Xin | Spark Summit 2017)

15:03

雷諾鑫｜火花峰會2017 (Reynold Xin | Spark Summit 2017)

115

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

Caffe - Ep.20 (Deep Learning SIMPLIFIED) (Caffe - Ep. 20 (Deep Learning SIMPLIFIED))

02:49

Caffe - Ep.20 (Deep Learning SIMPLIFIED) (Caffe - Ep. 20 (Deep Learning SIMPLIFIED))

217

什麼才是一個好的特徵？- 機器學習食譜#3 (What Makes a Good Feature? - Machine Learning Recipes #3)

05:41

什麼才是一個好的特徵？- 機器學習食譜#3 (What Makes a Good Feature? - Machine Learning Recipes #3)

53

準備你的機器學習數據集（葡萄牙語編碼TensorFlow）。 (Prepare o seu conjunto de dados para machine learning (Coding TensorFlow em português))

07:27

準備你的機器學習數據集（葡萄牙語編碼TensorFlow）。 (Prepare o seu conjunto de dados para machine learning (Coding TensorFlow em português))

2

如何向數據科學轉型：從計算機科學到數據科學？ (How to Transition into Data Science: from Computer Science to Data Science)

09:20

如何向數據科學轉型：從計算機科學到數據科學？ (How to Transition into Data Science: from Computer Science to Data Science)

4

Live Perception的ML解決方案（TF Dev Summit '20）。 (ML solutions for Live Perception (TF Dev Summit '20))

16:40

Live Perception的ML解決方案（TF Dev Summit '20）。 (ML solutions for Live Perception (TF Dev Summit '20))

3

TensorFlow高級API。第二部分--深入研究數據和特性 (TensorFlow high-level APIs: Part 2 - going deep on data and features)

05:09

TensorFlow高級API。第二部分--深入研究數據和特性 (TensorFlow high-level APIs: Part 2 - going deep on data and features)

2

機器學習如何被用來幫助拯救世界上的蜜蜂？ (How machine learning is being used to help save the world’s bees)

01:27

機器學習如何被用來幫助拯救世界上的蜜蜂？ (How machine learning is being used to help save the world’s bees)

102

中文 B1 中級

用Python、TensorFlow和Keras進行深度學習教程 (Deep Learning with Python, TensorFlow, and Keras tutorial)

20:34

用Python、TensorFlow和Keras進行深度學習教程 (Deep Learning with Python, TensorFlow, and Keras tutorial)

67

物聯網與大數據的結合，Chris Curran主講 (The Internet of Things Meets Big Data, with Chris Curran)

07:43

物聯網與大數據的結合，Chris Curran主講 (The Internet of Things Meets Big Data, with Chris Curran)

174