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edu磨課師+ 智慧服務與大數據分析 講師:李孟晃 實踐大學資訊科技與管理學系教授兼副校長、教務長和共同課程委員會主任委員 影音教學 中文發音 繁體中文版(2DVD)

內容說明:
【課程簡介】
開課學校/機構:實踐大學
課程發展年度:2023
課程類別:資訊工程_雲端系統

「智慧服務與大數據分析」課程中培養具備智慧服務與大數據分析所需相關基礎觀念。
本課程設計跳脫原有思維，結合產業科技智慧運用，發展與實踐當今新興服務體驗設計
【先備能力】
基礎程式設計。
【學習目標】
本課程目的以培育具備於應用智慧科技於服務產業之知識與技能，以利成為跨足不同產業特質之智慧人才
【授課教師】
李孟晃

任職單位
實踐大學資訊科技與管理學系教授兼副校長、教務長和共同課程委員會主任委員

簡述
實踐大學資訊科技與管理學系教授兼副校長、教務長和共同課程委員會主任委員。
擅長領域為Cloud Computing、Over the Top、IPTV。 課程內容:
001_Course-Outline.mp4
002_1-1-AWS-Overview_Cloud-Computing-Platform-Overview.mp4
003_1-2-AWS-Overview!GAWS-in-Shih-Chien-University.mp4
004_2-1-AWS-Certification-and-Learning-Resources!GForeword.mp4
005_2-2-AWS-Certification-and-Learning-Resources!GAWS-Certification-Overview.mp4
006_2-3-AWS-Certification-and-Learning-Resources!GAWS-Learning-Resources.mp4
007_3-1-Interact-with-AWS_Foreword.mp4
008_3-2-Interact-with-AWS_Sign-in-AWS-Academy-Learner-Lab.mp4
009_3-3-Interact-with-AWS_Start-the-Lab.-Environment.mp4
010_3-4-Interact-with-AWS_AWS-Management-Console.mp4
011_4-1-Introduction-to-AWS-Machine-Learning-Services-and-Amazon-SageMaker_Foreword.mp4
012_4-2-Introduction-to-AWS-Machine-Learning-Services-and-Amazon-SageMaker_Fundamentals-of-Machine-Learning.mp4
013_4-3-Introduction-to-AWS-Machine-Learning-Services-and-Amazon-SageMaker_Introduction-to-AWS-Machine-Learning-Services.mp4
014_4-4-Introduction-to-AWS-Machine-Learning-Services-and-Amazon-SageMaker_Overview-of-Amazon-SageMaker.mp4
015_4-5-Introduction-to-AWS-Machine-Learning-Services-and-Amazon-SageMaker_Setting-up-Python-Development-Environment-in-SageMaker.mp4
016_5-1-AWS-Rekognition-Service_Introduction-to-Computer-Vision.mp4
017_5-2-AWS-Rekognition-Service_AWS-Rekognition-Demo.mp4
018_5-3-AWS-Rekognition-Service_AWS-Rekognition-and-Python-(I).mp4
019_5-4-AWS-Rekognition-Service_AWS-Rekognition-and-Python-(II).mp4
020_6-1-Natural-Language-Processing(I)_Foreword.mp4
021_6-2-Natural-Language-Processing(I)_Polly.mp4
022_6-3-Natural-Language-Processing(I)_Translate.mp4
023_6-4-1-Natural-Language-Processing(I)_Comprehend-1.mp4
024_6-4-2-Natural-Language-Processing(I)-Comprehend-2.mp4
025_-7-1-Natural-Language-Processing-(II)-Building-Chatbots-with-Amazon-Lex_Foreword.mp4
026_7-2-1-Natural-Language-Processing-(II)!GBuilding-Chatbots-with-Amazon-Lex_Introduction-to-Chatbot-and-its-Applications-1.mp4
027_7-2-2-Natural-Language-Processing-(II)-Building-Chatbots-with-Amazon-Lex_Introduction-to-Chatbot-and-its-Applications-2.mp4
028_7-3-1-Natural-Language-Processing-(II)_-Building-Chatbots-with-Amazon-Lex_Features-and-Capabilities-of-Amazon-Lex-1.mp4
029_7-3-2-Natural-Language-Processing-(II)_-Building-Chatbots-with-Amazon-Lex_Features-and-Capabilities-of-Amazon-Lex-2.mp4
030_7-4-1-Natural-Language-Processing-(II)!GBuilding-Chatbots-with-Amazon-Lex_Using-Amazon-Lex-API-to-Build-a-Chatbot-1.mp4
031_7-4-2-Natural-Language-Processing-(II)!GBuilding-Chatbots-with-Amazon-Lex-Using-Amazon-Lex-API-to-Build-a-Chatbot-2.mp4
032_7-4-3-Natural-Language-Processing-(II)!GBuilding-Chatbots-with-Amazon-Lex_Using-Amazon-Lex-API-to-Build-a-Chatbot-3.mp4
033_7-4-4-Natural-Language-Processing-(II)!GBuilding-Chatbots-with-Amazon-Lex_Using-Amazon-Lex-API-to-Build-a-Chatbot-4.mp4
034_8-1-Store-and-query-data-in-Amazon-S3_Introduction-to-Amazon-S3.mp4
035_8-2-Store-and-query-data-in-Amazon-S3_Login-Amazon-AWS-Cloud.mp4
036_8-3-Store-and-query-data-in-Amazon-S3_Access-Amazon-S3-in-the-AWS-Management-Console.mp4
037_8-4-Store-and-query-data-in-Amazon-S3_Create-a-bucket-with-Amazon-S3-and-Load-data-into-an-S3-bucket.mp4
038_8-5-Store-and-query-data-in-Amazon-S3_Query-data-in-an-S3-bucket.mp4
039_9-1-Query-data-in-Amazon-S3-with-Amazon-Athena-and-AWS-Glue_Foreword.mp4
040_9-2-1-Query-data-in-Amazon-S3-with-Amazon-Athena-and-AWS-Glue_Creating-and-querying-an-AWS-Glue-database-and-table-in-Athena-1.mp4
041_9-2-2-Query-data-in-Amazon-S3-with-Amazon-Athena-and-AWS-Glue_Creating-and-querying-an-AWS-Glue-database-and-table-in-Athena-2.mp4
042_9-3-1-Query-data-in-Amazon-S3-with-Amazon-Athena-and-AWS-Glue_Using-Athena-views-1.mp4
043_9-3-2-Query-data-in-Amazon-S3-with-Amazon-Athena-and-AWS-Glue_Using-Athena-views-2.mp4
044_10-1-1-Storing-and-Analyzing-Data-by-Using-Amazon-Redshift_Foreword-1.mp4
045_10-1-2-Storing-and-Analyzing-Data-by-Using-Amazon-Redshift_Foreword-2.mp4
046_10-2-1-Storing-and-Analyzing-Data-by-Using-Amazon-Redshift-Access-Amazon-Redshift-and-Create-a-Redshift-cluster.mp4
047_10-2-2-Storing-and-Analyzing-Data-by-Using-Amazon-Redshift-Access-Amazon-Redshift-and-Create-a-Redshift-cluster.mp4
048_10-3-1-Storing-and-Analyzing-Data-by-Using-Amazon-Redshift_Configure-a-Redshift-cluster-1.mp4
049_10-3-2-Storing-and-Analyzing-Data-by-Using-Amazon-Redshift_Configure-a-Redshift-cluster-2.mp4
050_10-4-Storing-and-Analyzing-Data-by-Using-Amazon-Redshift-Storing-and-Analyzing-Data-by-Using-Amazon-Redshift_Create-a-database,-schemas,-and-tables-with-the-Redshift-cluster.mp4
051_10-5-1-Storing-and-Analyzing-Data-by-Using-Amazon-Redshift_Load-data-into-tables-in-a-Redshift-cluster-1.mp4
052_10-5-2-Storing-and-Analyzing-Data-by-Using-Amazon-Redshift_Load-data-into-tables-in-a-Redshift-cluster-2.mp4
053_10-6-Storing-and-Analyzing-Data-by-Using-Amazon-Redshift_Query-data-within-a-Redshift-cluster.mp4
影片介紹:

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