The Microsoft .NET connector allows developers to build integration applications on the Anypoint Platform, using any .NET language and Visual Studio. The 2.0 release of the .NET connector significantly improves the user experience of consuming .NET code.
Learn how to build an end to end NLP pipeline with BERT in PyTorch. In this webinar we will show you how to move from research to production and implement an NLP pipeline quickly and efficiently using PyTorch and cnvrg.io to deploy a BERT Question and Answer Bot. We’ll share best practices for building your NLP pipeline, and how to create a seamless, reproducible workflow. You’ll follow an end to end example that will help you solve your next NLP problem, and strategies to maintain your model in production.
Building one machine learning model is easy but data scientists are now having to deal with vast amounts of more data, and consider tens of machine learning algorithms in their bid to build their best model. Add this to the demand that organisations need more and more models to deliver accurate predictions - data scientists are under pressure to accelerate their model building capability.
If you’re asking yourself the following questions when it comes to optimally running your MySQL or MariaDB databases: How do I tune them to make best use of the hardware? How do I optimize the Operating System? How do I best configure MySQL or MariaDB for a specific database workload? We discuss some of the settings that are most often tweaked and which can bring you significant improvement in the performance of your MySQL or MariaDB database. We also cover some of the variables which are frequently modified even though they should not.