https://www.youtube.com/watch?v=w9YQaDCMJDI&ab_channel=CiscoDevNet
Topics Covered - Time Links
- Introduction
- What exactly is Machine Learning and Artificial Intelligence? 2:17
- In simple terms, what is Artificial Intelligence? 2:29
- Okay, what about Machine Learning? 6:15
- Where do Machine Learning frameworks come from? 9:19
- How are ML and AI related? 11:29
- What is "training" in Machine Learning? 13:44
- How are Machine Learning, statistics, and scale related? 20:29
- Summing up AI/ML so far 23:57
- How are Machine Learning models put to work? 24:46
- What about GPUs? What's the big deal? 28:37
- A Machine Learning Demo! 30:58
- Machine Learning making CAPTCHA irrelevant? 35:55
- Where is Cisco's interest and activity in these topics? 36:51
- Jupiter Notebooks, Data Science and Kubernetes 37:18
- Machine Learning workloads and Infrastructure 41:47
- How is Cisco using ML/AI within products like Enhanced Threat Analytics, Tetration, etc? 42:39
- What is the relevance to me, a network or infrastructure engineer? 47:43
- What's the relationship between ML and Big Data? 52:01
- Will I use Machine Learning to parse my network logs? 53:54
- Summary 55:23
- Webinar Resources 57:35
你有没有注意到谷歌、Facebook或亚马逊似乎在你做之前“知道”你想要什么？或者美国宇航局如何能够处理数百万张天空图像，寻找行星？像你的相机这样的东西知道你照片中的人脸在哪里呢？这些只是当今公司和开发人员如何应用机器学习和人工智能 （ML/AI） 的几个例子。但是与网络有什么关系呢？ 在本次演讲中，我们将探讨像思科这样的公司如何在当今可用的产品中使用这些技术，使网络更智能、更直观。我们将探讨增强型威胁分析 （ETA） 和 Tetration 等解决方案的工作原理。网络工程师可以通过 ML/AI 自行解决哪些类型的问题？你今天可以去哪里开始学习？加入，一探究竟！
