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

依關聯性

VoiceTube 廣告

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

機器學習介紹（ML從零到100，第一部分 (Introdução ao Machine Learning (ML de Zero a 100, parte 1))

06:51

機器學習介紹（ML從零到100，第一部分 (Introdução ao Machine Learning (ML de Zero a 100, parte 1))

3

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

第1講 | 視覺識別的卷積神經網絡簡介 (Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition)

57:57

第1講 | 視覺識別的卷積神經網絡簡介 (Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition)

153

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

數據分析9：數據迴歸 - Computerphile (Data Analysis 9: Data Regression - Computerphile)

16:04

數據分析9：數據迴歸 - Computerphile (Data Analysis 9: Data Regression - Computerphile)

7

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

字幕已審核

愛用音樂串流平台的你，是否想過推薦播放清單是怎麼來的？了解 Spotify 背後的演算法吧！（How Spotify’s AI-Driven Algorithm Works | The Tech Behind | WSJ）

07:05

愛用音樂串流平台的你，是否想過推薦播放清單是怎麼來的？了解 Spotify 背後的演算法吧！（How Spotify’s AI-Driven Algorithm Works | The Tech Behind | WSJ）

14380

中文 B1 中級

TensorFlow World 2019 | 第2天生活流 PM (TensorFlow World 2019 | Day 2 Livestream PM)

260:18

TensorFlow World 2019 | 第2天生活流 PM (TensorFlow World 2019 | Day 2 Livestream PM)

3

IEI深度學習推理加速卡 (IEI Deep Learning Inference Acceleration Card )

13:27

IEI深度學習推理加速卡 (IEI Deep Learning Inference Acceleration Card )

44

JavaScript和AI的未來，阿西姆-侯賽因｜JSConf.Asia 2019年。 (The Future of JavaScript and AI by Asim Hussain | JSConf.Asia 2019)

33:50

JavaScript和AI的未來，阿西姆-侯賽因｜JSConf.Asia 2019年。 (The Future of JavaScript and AI by Asim Hussain | JSConf.Asia 2019)

1

開源數據分析。標準問題雲工具包的一部分 (Open Source Data Analytics: Part of your Standard-Issue Cloud Toolkit)

10:00

開源數據分析。標準問題雲工具包的一部分 (Open Source Data Analytics: Part of your Standard-Issue Cloud Toolkit)

43

Swift for TensorFlow：下一代機器學習框架（TF Dev Summit '19）。 (Swift for TensorFlow: The Next-Generation Machine Learning Framework (TF Dev Summit '19))

31:22

Swift for TensorFlow：下一代機器學習框架（TF Dev Summit '19）。 (Swift for TensorFlow: The Next-Generation Machine Learning Framework (TF Dev Summit '19))

4

基礎計算機視覺與ML(ML Zero to Hero，第二部分) (Basic Computer Vision with ML (ML Zero to Hero, part 2))

07:24

基礎計算機視覺與ML(ML Zero to Hero，第二部分) (Basic Computer Vision with ML (ML Zero to Hero, part 2))

1

解決你的模型的過擬合和欠擬合問題--Pt.1（編碼TensorFlow）。 (Solve your model’s overfitting and underfitting problems - Pt.1 (Coding TensorFlow))

04:43

解決你的模型的過擬合和欠擬合問題--Pt.1（編碼TensorFlow）。 (Solve your model’s overfitting and underfitting problems - Pt.1 (Coding TensorFlow))

3

神經網絡--第5講--CS50的《人工智能入門與Python 2020》。 (Neural Networks - Lecture 5 - CS50's Introduction to Artificial Intelligence with Python 2020)

101:20

神經網絡--第5講--CS50的《人工智能入門與Python 2020》。 (Neural Networks - Lecture 5 - CS50's Introduction to Artificial Intelligence with Python 2020)

7

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))

1

用TENSORFLOW TUTORIAL進行深度學習，20分鐘內介紹TensorFlow文法。 (DEEP LEARNING WITH TENSORFLOW TUTORIAL | Introduction to TensorFlow Syntax in 20 Minutes)

21:17

用TENSORFLOW TUTORIAL進行深度學習，20分鐘內介紹TensorFlow文法。 (DEEP LEARNING WITH TENSORFLOW TUTORIAL | Introduction to TensorFlow Syntax in 20 Minutes)

8

如何過渡到數據科學。從經濟學到數據科學 (How to Transition Into Data Science: From Economics to Data Science)

09:54

如何過渡到數據科學。從經濟學到數據科學 (How to Transition Into Data Science: From Economics to Data Science)

1

尖端TensorFlow：新技術（Google I/O'19) (Cutting Edge TensorFlow: New Techniques (Google I/O'19))

37:32

尖端TensorFlow：新技術（Google I/O'19) (Cutting Edge TensorFlow: New Techniques (Google I/O'19))

2

BINARY CLASSIFIER WITH TENSORFLOW - CS50 on Twitch, EP.7 (BINARY CLASSIFIER WITH TENSORFLOW - CS50 on Twitch, EP. 7)

138:46

BINARY CLASSIFIER WITH TENSORFLOW - CS50 on Twitch, EP.7 (BINARY CLASSIFIER WITH TENSORFLOW - CS50 on Twitch, EP. 7)

2

科技發展太快了嗎？| 科技的進化和改變世界的發明創造。 (Is Technology Moving Too Fast? | Evolution of Technology And the Inventions that Changed the World)

08:20

科技發展太快了嗎？| 科技的進化和改變世界的發明創造。 (Is Technology Moving Too Fast? | Evolution of Technology And the Inventions that Changed the World)

35

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)

9

歡迎來到365數據科學 (Welcome to 365 Data Science)

00:33

歡迎來到365數據科學 (Welcome to 365 Data Science)

1

COVID-19響應 | 免費數據科學課程 (COVID-19 Response | Free Data Science Courses)

02:11

COVID-19響應 | 免費數據科學課程 (COVID-19 Response | Free Data Science Courses)

3

Google IO 2018: 人工智彗 (Building the future of artificial intelligence for everyone (Google I/O '18))

40:53

Google IO 2018: 人工智彗 (Building the future of artificial intelligence for everyone (Google I/O '18))

318

TF-Agents.A Flexible Reinforcement Learning Library for TensorFlow (Google I/O'19)TensorFlow的靈活強化學習庫（Google I/O'19) (TF-Agents: A Flexible Reinforcement Learning Library for TensorFlow (Google I/O'19))

39:10

TF-Agents.A Flexible Reinforcement Learning Library for TensorFlow (Google I/O'19)TensorFlow的靈活強化學習庫（Google I/O'19) (TF-Agents: A Flexible Reinforcement Learning Library for TensorFlow (Google I/O'19))

3

TensorFlow 2.0速成班 (TensorFlow 2.0 Crash Course)

133:17

TensorFlow 2.0速成班 (TensorFlow 2.0 Crash Course)

2

深度學習框架對比 (Deep Learning Frameworks Compared)

05:45

深度學習框架對比 (Deep Learning Frameworks Compared)

85

拯救生命的AI和JavaScript｜安在文｜JSConf Korea 2019(en sub) (Lifesaving AI and JavaScript | Jaeman An | JSConf Korea 2019(en sub))

24:56

拯救生命的AI和JavaScript｜安在文｜JSConf Korea 2019(en sub) (Lifesaving AI and JavaScript | Jaeman An | JSConf Korea 2019(en sub))

3

對新的數據科學家的任何建議[數據科學101]。 (Any advice for new data scientist [Data Science 101])

03:00

對新的數據科學家的任何建議[數據科學101]。 (Any advice for new data scientist [Data Science 101])

74

用 JavaScript 創建 AI 音樂家--Thomas Drach--美國 2019 年 JSConf。 (Creating an AI Musician with JavaScript - Thomas Drach - JSConf US 2019)

23:52

用 JavaScript 創建 AI 音樂家--Thomas Drach--美國 2019 年 JSConf。 (Creating an AI Musician with JavaScript - Thomas Drach - JSConf US 2019)

3

使用機器學習的基礎計算機視覺（ML從零到100，第2部分) (Visão computacional básica com Machine Learning (ML de Zero a 100, parte 2))

06:48

使用機器學習的基礎計算機視覺（ML從零到100，第2部分) (Visão computacional básica com Machine Learning (ML de Zero a 100, parte 2))

3

感知、解決和前進：Waymo 司機的魔力 (Sense, Solve, and Go: The Magic of the Waymo Driver)

03:41

感知、解決和前進：Waymo 司機的魔力 (Sense, Solve, and Go: The Magic of the Waymo Driver)

10

中文 B1 中級

TensorFlow開發峰會2019生活流 (TensorFlow Dev Summit 2019 Livestream)

541:44

TensorFlow開發峰會2019生活流 (TensorFlow Dev Summit 2019 Livestream)

6

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)

55

中文 A2 初級

Michelle Bacharach，FINDMINE - SXSW 2017 - #IntelAI - #theCUBE (Michelle Bacharach, FINDMINE - SXSW 2017 - #IntelAI - #theCUBE)

11:36

Michelle Bacharach，FINDMINE - SXSW 2017 - #IntelAI - #theCUBE (Michelle Bacharach, FINDMINE - SXSW 2017 - #IntelAI - #theCUBE)

48

什麼是大數據和Hadoop？ (What is Big Data and Hadoop?)

08:05

什麼是大數據和Hadoop？ (What is Big Data and Hadoop?)

194

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)

5

Deep Q Learning w/ DQN - Reinforcement Learning p.5 (Deep Q Learning w/ DQN - Reinforcement Learning p.5)

32:19

Deep Q Learning w/ DQN - Reinforcement Learning p.5 (Deep Q Learning w/ DQN - Reinforcement Learning p.5)

6

數據科學家VS數據工程師。哪一個適合你？ (Data Scientists vs Data Engineers: Which one is for you?)

09:33

數據科學家VS數據工程師。哪一個適合你？ (Data Scientists vs Data Engineers: Which one is for you?)

4

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))

2

TensorFlow Hub:可重用的機器學習（TF Dev Summit '19) (TensorFlow Hub: Reusable Machine Learning (TF Dev Summit '19))

07:36

TensorFlow Hub:可重用的機器學習（TF Dev Summit '19) (TensorFlow Hub: Reusable Machine Learning (TF Dev Summit '19))

2

提花。將ML無縫嵌入到日常物品中（TF開發峰會'20) (Jacquard: Embedding ML seamlessly into everyday objects (TF Dev Summit '20))

10:15

提花。將ML無縫嵌入到日常物品中（TF開發峰會'20) (Jacquard: Embedding ML seamlessly into everyday objects (TF Dev Summit '20))

1

如何使用 ChatGPT 制定最完美的自學計劃（逐步提示指南） (How To Make The ULTIMATE Self Study Plan With ChatGPT (step by step prompting guide))

16:40

如何使用 ChatGPT 制定最完美的自學計劃（逐步提示指南） (How To Make The ULTIMATE Self Study Plan With ChatGPT (step by step prompting guide))

9

中文 B1 中級

2020年僱主希望數據科學傢俱備的5項業務技能 (5 Business Skills Employers Want in a Data Scientist in 2020)

09:42

2020年僱主希望數據科學傢俱備的5項業務技能 (5 Business Skills Employers Want in a Data Scientist in 2020)

14