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

依關聯性

VoiceTube 廣告

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

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

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

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

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

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

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

數據科學改變金融的5種方式 (5 Ways Data Science Changed Finance)

12:55

數據科學改變金融的5種方式 (5 Ways Data Science Changed Finance)

7

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

使用TensorFlow進行深度學習 - 歡迎 (Deep Learning with TensorFlow - Welcome)

02:18

使用TensorFlow進行深度學習 - 歡迎 (Deep Learning with TensorFlow - Welcome)

94

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

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

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

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

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

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

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

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

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

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

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

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

機器學習介紹 (Introduction to Machine Learning)

02:54

機器學習介紹 (Introduction to Machine Learning)

95

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

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

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

在瀏覽器中嘗試TensorFlow.js (Coding TensorFlow) (Try TensorFlow.js in your browser (Coding TensorFlow))

07:07

在瀏覽器中嘗試TensorFlow.js (Coding TensorFlow) (Try TensorFlow.js in your browser (Coding TensorFlow))

1

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

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

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

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

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

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

2020年如何成為商業智能分析師 (How to Become a Business Intelligence Analyst in 2020)

08:44

2020年如何成為商業智能分析師 (How to Become a Business Intelligence Analyst in 2020)

10

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

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

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

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

神經網絡。統計速成班#41 (Neural Networks: Crash Course Statistics #41)

12:16

神經網絡。統計速成班#41 (Neural Networks: Crash Course Statistics #41)

2

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

雲TPU艙。針對大型機器學習問題的AI超級計算（Google I/O'19) (Cloud TPU Pods: AI Supercomputing for Large Machine Learning Problems (Google I/O'19))

41:48

雲TPU艙。針對大型機器學習問題的AI超級計算（Google I/O'19) (Cloud TPU Pods: AI Supercomputing for Large Machine Learning Problems (Google I/O'19))

3

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