Content Moderator Face Emotion Video Speech Translator Speech Bing Speech API Speaker Recognition Custom Speech Service Video Indexer Custom Vision Service Language Language Understanding Intelligent Service(LUIS) Bing Spell Check Web Language Model Text Analytics Translator Linguistic Analysis Knowledge Recommendations Knowledge Exploration Entity Linking Intelligence Academic Knowledge QnA Maker Custom Decision Service Search Bing Autosuggest Bing News Search Bing Web Search Bing Entity Search Bing Image Search Bing Video Search Bing Custom Search https://microsoft.com/cognitive-services/
open-source, cross-platform toolkit for learning and evaluating deep neural networks.” • open-source model • created by Microsoft Speech researchers (Dong Yu et al.) 4 years ago • on GitHub since Jan 2016 under permissive license • nearly all development is out in the open • growing use Microsoft product groups • all have full-time employees • CNTK trained models are already being tested in production, receiving real traffic • external contributions e.g. from MIT and Stanford • Linux, Windows, .Net, docker, cudnn5 • Python, C++ and C# APIs coming soon https://www.microsoft.com/en-us/cognitive-toolkit/
remediate quickly Continuously monitor the security of your machines, networks, and Azure services using hundreds of built-in security assessments or create your own. Use actionable security recommendations to remediate issues before they can be exploited. Limit your exposure to threats Enable adaptive threat protections to reduce exposure to attacks. Block malware and other unwanted code by applying application controls adapted to your specific workloads and powered by machine learning. Enable just-in-time, controlled access to management ports on Azure VMs to drastically reduce surface area exposed to brute force and other network attacks. Detect and respond swiftly to attacks Use advanced analytics and the Microsoft Intelligent Security Graph to get an edge over evolving cyber attacks. Leverage built-in behavioral analytics and machine learning to identify attacks and zero-day exploits. Monitor networks, machines, and cloud services for incoming attacks and post- breach activity. Streamline investigation with interactive tools and contextual threat intelligence.
dotnetru
ymtdzzz
10tera
clockmaker
fadis
mayuki
nkforwork
usagimaru
ivargrimstad
takonda
kno3a87
javiergs
oheyadam
jakevdp
brad_frost
tanoku
bkeepers
carmenintech
destraynor
zakiyama
reverentgeek
tammyeverts
kastner
quramy
samlambert
![39 .NET Meetup 2017 Contacts: mail: [email protected] skype: sergey.levkin telegram:](https://files.speakerdeck.com/presentations/f762ec7d3a854b3394642556addd3c86/slide_38.jpg){kind=link}