學習、聯繫、建置
準備好開始使用 AI 和最新技術嗎？ Microsoft Reactor 提供活動、訓練和社群資源，協助開發人員、企業家和初創公司建置 AI 技術等等。 加入我們！
學習、聯繫、建置
準備好開始使用 AI 和最新技術嗎？ Microsoft Reactor 提供活動、訓練和社群資源，協助開發人員、企業家和初創公司建置 AI 技術等等。 加入我們！
27 10月, 2022 | 8:15 上午 - 9:15 上午 (UTC) 國際標準時間
Location: Stockholm
位址: Regeringsgatan 59 111 57 Stockholm Sweden c / o Epicenter
實體活動 (Stockholm)
線上直播主題: 資料科學與機器學習
語言: 英文
What is this session about?
Microsoft Azure offers a number of services that can be leveraged in applications to add intelligence and analysis of text, images, video and documents. These services can be divided into five levels based on the knowledge a team has around AI and ML, and the complexity of the problems being solved. At the application level, the services can be used with a web-based console. AI services can be leveraged with an API call. More complex implementations may require managing training data sets, selecting or designing neural networks, and even implementing the next generation of AI algorithms.
Why Should you attend?
In this demo intensive session Alan will start at the application layer, and progress through AI services, models, frameworks and algorithms and show how Azure AI services Azure can be utilized. He will show how Azure Video Indexer can be used to create transcripts, translations and recognize people and celebrities. Cognitive Services and Custom Vision will be used for image analysis, and Auto ML will be used to train price prediction and object detection algorithms. He will round off the session explaining how reinforcement learning in Azure ML is being used by the gaming industry.
Speaker info:
Alan Smith - Azure MVP
Alan Smith is a Microsoft Azure developer, trainer, mentor and evangelist at Active Solution in Stockholm. He has a strong hands-on philosophy and focusses on embracing the power and flexibility of cloud computing to deliver engaging and exciting demos and training courses.
Alan has held the MVP title for 13 years, and is currently an MVP for Microsoft Azure. He is in the organization team for the CloudBurst conference.
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格式:
線上直播
主題: 資料科學與機器學習
語言: 英文
格式:
線上直播
主題: 資料科學與機器學習
語言: 英文