Latest Content

Microsoft Machine Learning Technologies: View Towards 2020

What is new in the new Azure Machine Learning? What is changing in the rest of the Microsoft machine learning platform, notably ML Server and SQL Server ML Services, the 2019 Big Data Clusters, and frameworks: Automated ML, ML.NET, MicrosoftML, RevoScale, and MLLSpark? You will also see an overview of the popularity of non-Microsoft tools in this video—make sure to read the essay, under the video, too.

24 December 2019
1105 views

Next Year in Machine Learning, Data Science, AI and BI

The trends that shaped 2019 and predictions for the future of machine learning and analytics. Why you should abandon Hadoop, brush up on statistics and obsess less about technology.

24 December 2019
2539 views

Machine Learning for IT Security: From ML to Security AI

This video explains how to get started with machine learning for IT security purposes, leading to powerful, potentially dangerous, autonomous Security AI systems.

4 October 2019
320 views

Machine Learning for Security Applications: Why?

This interview with Rafal Lukawiecki and Hugh Simpson-Wells discusses applications of machine learning for IT security purposes, including: authentication, authorisation, log analysis, and breach prevention.

31 August 2019
530 views

The Future of AI—How to Avoid Artificial Stupidity

In this detailed video I explain how to get started in building not just good AI, but, above all, the kind that avoids the risks of artiﬁcial stupidity, by combining several powerful approaches: machine learning, programming in logic, and modern data.