10,000 個「 machine learning 」的搜尋結果

依關聯性

因果推論大數據（Frontiers in Machine Learning: Big Ideas in Causality and Machine Learning）

95:59

因果推論大數據（Frontiers in Machine Learning: Big Ideas in Causality and Machine Learning）

16

揭幕式--IBM機器學習發佈會--#IBMML--#theCUBE。 (Kickoff - IBM Machine Learning Launch - #IBMML - #theCUBE)

12:35

揭幕式--IBM機器學習發佈會--#IBMML--#theCUBE。 (Kickoff - IBM Machine Learning Launch - #IBMML - #theCUBE)

61

每个人机器学习（Machine Learning for Everybody – Full Course）

233:53

每个人机器学习（Machine Learning for Everybody – Full Course）

14

主動（機器）學習 - Computerphile (Active (Machine) Learning - Computerphile)

06:11

主動（機器）學習 - Computerphile (Active (Machine) Learning - Computerphile)

16

機器學習介紹 (Introduction to Machine Learning)

02:54

機器學習介紹 (Introduction to Machine Learning)

97

什麼是機器學習？ (What is Machine Learning?)

05:23

什麼是機器學習？ (What is Machine Learning?)

171

大規模機器學習 (Large Scale Machine Learning)

36:10

大規模機器學習 (Large Scale Machine Learning)

210

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)

79

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)

147

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))

404

什麼是人工智能、機器學習和深度學習？ (What Is Artificial Intelligence, Machine Learning And Deep Learning?)

10:13

什麼是人工智能、機器學習和深度學習？ (What Is Artificial Intelligence, Machine Learning And Deep Learning?)

188

人工智能、機器學習、深度學習和生成式人工智能解析 (AI, Machine Learning, Deep Learning and Generative AI Explained)

10:01

人工智能、機器學習、深度學習和生成式人工智能解析 (AI, Machine Learning, Deep Learning and Generative AI Explained)

56

中文 A2 初級

機器學習 - CS50播客，Ep.6。 (Machine Learning - CS50 Podcast, Ep. 6)

28:25

機器學習 - CS50播客，Ep.6。 (Machine Learning - CS50 Podcast, Ep. 6)

4

機器學習的7個步驟 (The 7 Steps of Machine Learning)

10:36

機器學習的7個步驟 (The 7 Steps of Machine Learning)

134

小組討論。機器學習的應用 (Panel Discussion: Applications of Machine Learning)

43:18

小組討論。機器學習的應用 (Panel Discussion: Applications of Machine Learning)

257

2016年CS50--第七週--機器學習 (CS50 2016 - Week 7 - Machine Learning)

82:56

2016年CS50--第七週--機器學習 (CS50 2016 - Week 7 - Machine Learning)

215

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)

104

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)

12175

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)

149

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)

143

你好世界--機器學習食譜#1 (Hello World - Machine Learning Recipes #1)

06:53

你好世界--機器學習食譜#1 (Hello World - Machine Learning Recipes #1)

66

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)

3

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)?)

347

中文 B1 中級

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

聯邦學習。分散數據的機器學習(Google I/O'19) (Federated Learning: Machine Learning on Decentralized Data (Google I/O'19))

41:11

聯邦學習。分散數據的機器學習(Google I/O'19) (Federated Learning: Machine Learning on Decentralized Data (Google I/O'19))

4

Tania的故事。莫爾斯碼遇上機器學習 (Tania’s Story: Morse code meets machine learning)

02:23

Tania的故事。莫爾斯碼遇上機器學習 (Tania’s Story: Morse code meets machine learning)

59

中文 A2 初級

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)

13

機器學習如何幫助科學家追蹤小行星？ (How machine learning helps scientists track asteroids)

01:22

機器學習如何幫助科學家追蹤小行星？ (How machine learning helps scientists track asteroids)

17

為機器學習準備你的數據集（TensorFlow編碼）。 (Prepare your dataset for machine learning (Coding TensorFlow))

07:37

為機器學習準備你的數據集（TensorFlow編碼）。 (Prepare your dataset for machine learning (Coding TensorFlow))

2

TensorFlow Hub：重用機器學習模塊(TensorFlow Meets) (TensorFlow Hub: reusing machine learning modules (TensorFlow Meets))

04:50

TensorFlow Hub：重用機器學習模塊(TensorFlow Meets) (TensorFlow Hub: reusing machine learning modules (TensorFlow Meets))

3

可視化決策樹--機器學習食譜#2。 (Visualizing a Decision Tree - Machine Learning Recipes #2)

06:42

可視化決策樹--機器學習食譜#2。 (Visualizing a Decision Tree - Machine Learning Recipes #2)

94

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

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))

157

編碼挑戰賽#151.Ukulele Tuner with Machine Learning Pitch Detection Model:使用機器學習音高檢測模型的尤克里裡調音器 (Coding Challenge #151: Ukulele Tuner with Machine Learning Pitch Detection Model)

35:55

編碼挑戰賽#151.Ukulele Tuner with Machine Learning Pitch Detection Model:使用機器學習音高檢測模型的尤克里裡調音器 (Coding Challenge #151: Ukulele Tuner with Machine Learning Pitch Detection Model)

6

#1 機器學習專業 [課程 1，第 1 周，第 1 課] (#1 Machine Learning Specialization [Course 1, Week 1, Lesson 1])

02:45

#1 機器學習專業 [課程 1，第 1 周，第 1 課] (#1 Machine Learning Specialization [Course 1, Week 1, Lesson 1])

12

中文 A2 初級

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))

9

什麼是機器學習，它是如何工作的？ (What is machine learning, and how does it work?)

10:21

什麼是機器學習，它是如何工作的？ (What is machine learning, and how does it work?)

66

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)

66

編寫我們的第一個分類器--機器學習食譜#5。 (Writing Our First Classifier - Machine Learning Recipes #5)

08:44

編寫我們的第一個分類器--機器學習食譜#5。 (Writing Our First Classifier - Machine Learning Recipes #5)

97

機器學習開發者--TensorFlow Dev Summit '19來了! (Machine learning developers - TensorFlow Dev Summit '19 is here!)

00:59

機器學習開發者--TensorFlow Dev Summit '19來了! (Machine learning developers - TensorFlow Dev Summit '19 is here!)

12

遊戲開發者的機器學習(Google I/O'19) (Machine Learning for Game Developers (Google I/O'19))

32:20

遊戲開發者的機器學習(Google I/O'19) (Machine Learning for Game Developers (Google I/O'19))

3

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

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)

40

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)

62

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))

3

Runway的介紹。創客的機器學習（第二部分 (Introduction to Runway: Machine Learning for Creators (Part 2))

23:59

Runway的介紹。創客的機器學習（第二部分 (Introduction to Runway: Machine Learning for Creators (Part 2))

2