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

依關聯性

VoiceTube 廣告

谷歌的Crowdsource。用機器學習為大家打造更好的產品 (Crowdsource by Google: Building better products for everyone with machine learning)

02:23

谷歌的Crowdsource。用機器學習為大家打造更好的產品 (Crowdsource by Google: Building better products for everyone with machine learning)

102

中文 A2 初級

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

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

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

數據--用Python和Pytorch進行深度學習和神經網絡 p.2 (Data - Deep Learning and Neural Networks with Python and Pytorch p.2)

28:17

數據--用Python和Pytorch進行深度學習和神經網絡 p.2 (Data - Deep Learning and Neural Networks with Python and Pytorch p.2)

3

使用Scikit-learn進行機器學習--使用Python和Pandas進行數據分析第6頁。 (Machine Learning with Scikit-learn - Data Analysis with Python and Pandas p.6)

27:03

使用Scikit-learn進行機器學習--使用Python和Pandas進行數據分析第6頁。 (Machine Learning with Scikit-learn - Data Analysis with Python and Pandas p.6)

2

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)

206

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)

58

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)

80

TensorFlow高級API。第1部分--加載數據 (TensorFlow high-level APIs: Part 1 - loading data)

07:04

TensorFlow高級API。第1部分--加載數據 (TensorFlow high-level APIs: Part 1 - loading data)

1

TensorFlow Federated（TFF）。去中心化數據的機器學習（TF Dev Summit '19) (TensorFlow Federated (TFF): Machine Learning on Decentralized Data (TF Dev Summit ‘19))

13:26

TensorFlow Federated（TFF）。去中心化數據的機器學習（TF Dev Summit '19) (TensorFlow Federated (TFF): Machine Learning on Decentralized Data (TF Dev Summit ‘19))

數據分析8：數據的分類 - Computerphile (Data Analysis 8: Classifying Data - Computerphile)

15:49

數據分析8：數據的分類 - Computerphile (Data Analysis 8: Classifying Data - Computerphile)

9

什麼是機器學習？ (What is Machine Learning?)

05:23

什麼是機器學習？ (What is Machine Learning?)

168

TF 2.x on Kaggle (TF Dev Summit '20) (TF 2.x on Kaggle (TF Dev Summit '20))

05:33

TF 2.x on Kaggle (TF Dev Summit '20) (TF 2.x on Kaggle (TF Dev Summit '20))

1

使用機器學習改善UI/UX--Milecia McGregor | JSConf Hawaii 2020 (Using Machine Learning to Improve UI/UX - Milecia McGregor | JSConf Hawaii 2020)

21:59

使用機器學習改善UI/UX--Milecia McGregor | JSConf Hawaii 2020 (Using Machine Learning to Improve UI/UX - Milecia McGregor | JSConf Hawaii 2020)

6

機器學習。讓一個混亂的世界變得有意義 (Machine Learning: Making Sense of a Messy World)

03:48

機器學習。讓一個混亂的世界變得有意義 (Machine Learning: Making Sense of a Messy World)

345

中文 B1 中級

數據分析5：數據還原 - Computerphile (Data Analysis 5: Data Reduction - Computerphile)

17:50

數據分析5：數據還原 - Computerphile (Data Analysis 5: Data Reduction - Computerphile)

8

什麼才是真正的數據科學？由數據科學家講述 (What REALLY is Data Science? Told by a Data Scientist)

11:09

什麼才是真正的數據科學？由數據科學家講述 (What REALLY is Data Science? Told by a Data Scientist)

51

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）

12

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

06:11

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

10

如何開始使用AI/ML，重新訓練模型等!(#AskTensorFlow) (How to get started with AI/ML, retraining models, & more! (#AskTensorFlow))

05:54

如何開始使用AI/ML，重新訓練模型等!(#AskTensorFlow) (How to get started with AI/ML, retraining models, & more! (#AskTensorFlow))

3

學習機器學習的最佳資源？ML到底是什麼？與ML工程師的問答 (Best Resources for Learning Machine Learning? What Is ML Anyway? Q&A with ML Engineers!)

12:01

學習機器學習的最佳資源？ML到底是什麼？與ML工程師的問答 (Best Resources for Learning Machine Learning? What Is ML Anyway? Q&A with ML Engineers!)

3

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))

2

如何獲得數據科學實習機會｜數據科學領域從業者的必備技巧 (How to Get a Data Science Internship | Essential Tips for People Starting a Career in Data Science)

13:36

如何獲得數據科學實習機會｜數據科學領域從業者的必備技巧 (How to Get a Data Science Internship | Essential Tips for People Starting a Career in Data Science)

4

機器學習不是未來--2016年穀歌I/O大會。 (Machine learning is not the future - Google I/O 2016)

39:00

機器學習不是未來--2016年穀歌I/O大會。 (Machine learning is not the future - Google I/O 2016)

115

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

36:10

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

209

構建ML的可視化調試工具--TF.js在交互式可視化分析中的應用(TF Dev Summit '19) (Building a Visual Debugging Tool for ML - TF.js in Interactive Visual Analytics (TF Dev Summit '19))

05:19

構建ML的可視化調試工具--TF.js在交互式可視化分析中的應用(TF Dev Summit '19) (Building a Visual Debugging Tool for ML - TF.js in Interactive Visual Analytics (TF Dev Summit '19))

1

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?)

60

流感疫苗和生物學中的數據科學 (Influenza Vaccines and Data Science in Biology)

08:43

流感疫苗和生物學中的數據科學 (Influenza Vaccines and Data Science in Biology)

3

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)

133

構建一個神經網絡來執行分類｜TensorFlow.js (Coding TensorFlow) (Build a neural network to perform classification | TensorFlow.js (Coding TensorFlow))

07:45

構建一個神經網絡來執行分類｜TensorFlow.js (Coding TensorFlow) (Build a neural network to perform classification | TensorFlow.js (Coding TensorFlow))

2

Tensor2Tensor (TensorFlow @ O'Reilly AI Conference, San Francisco '18) (Tensor2Tensor (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

39:01

Tensor2Tensor (TensorFlow @ O'Reilly AI Conference, San Francisco '18) (Tensor2Tensor (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

5

TensorFlow內部：tf.data + tf.distributed。 (Inside TensorFlow: tf.data + tf.distribute)

46:24

TensorFlow內部：tf.data + tf.distributed。 (Inside TensorFlow: tf.data + tf.distribute)

6

機器學習介紹 (Introduction to Machine Learning)

02:54

機器學習介紹 (Introduction to Machine Learning)

95

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?)

187

用Weka進行數據挖掘(1.1：介紹) (Data Mining with Weka (1.1: Introduction))

09:00

用Weka進行數據挖掘(1.1：介紹) (Data Mining with Weka (1.1: Introduction))

79

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

程序員的TF機器學習（TensorFlow @ O'Reilly AI大會，舊金山18年）。 (TF Machine Learning for Programmers (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

41:56

程序員的TF機器學習（TensorFlow @ O'Reilly AI大會，舊金山18年）。 (TF Machine Learning for Programmers (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

2

365數據科學在線計劃 (365 Data Science Online Program)

04:41

365數據科學在線計劃 (365 Data Science Online Program)

2

前端開發的機器學習，查理-傑拉德｜JSConf.Asia 2019年。 (Machine Learning for Front-End Developers by Charlie Gerard | JSConf.Asia 2019)

34:05

前端開發的機器學習，查理-傑拉德｜JSConf.Asia 2019年。 (Machine Learning for Front-End Developers by Charlie Gerard | JSConf.Asia 2019)

3

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

數據分析4：數據轉換 - Computerphile (Data Analysis 4: Data Transformation - Computerphile)

19:31

數據分析4：數據轉換 - Computerphile (Data Analysis 4: Data Transformation - Computerphile)

14

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)

254

用TensorFlow Federated進行聯邦學習(TF World '19) (Federated learning with TensorFlow Federated (TF World '19))

44:44

用TensorFlow Federated進行聯邦學習(TF World '19) (Federated learning with TensorFlow Federated (TF World '19))

4

我們是否正在將種族主義自動化？ (Are We Automating Racism?)

22:55

我們是否正在將種族主義自動化？ (Are We Automating Racism?)

5

中文 B1 中級

MIT 6.S094：深度學習和自動駕駛汽車介紹 (MIT 6.S094: Introduction to Deep Learning and Self-Driving Cars)

91:29

MIT 6.S094：深度學習和自動駕駛汽車介紹 (MIT 6.S094: Introduction to Deep Learning and Self-Driving Cars)

224