Machine Learning made for .NET. ML.NET is a machine learning framework built for .NET developers. Use your .NET and C# or F# skills to easily integrate custom machine learning into your applications without any prior expertise in developing or tuning machine learning models. Learn more about ML.NET

Nicholas is a professional software engineer with a passion for quality craftsmanship. He loves architecting and writing top-notch code. Machine Learning (ML) is coming into its own, with a growing recognition that ML can play a key role in a wide range of critical applications, such as data mining Get Started with SQL Server Machine Learning Services. Perform customer clustering using Python and SQL Server ML Services 1 Set up your environment If you want, you can also download SSMS custom reports available on github. The report "R Services - Configuration.rdl" for example GitHub is where people build software. More than 28 million people use GitHub to discover, fork, and contribute to over 85 million projects. KPIM24COM - Tutorial code and resources for Machine Learning and Computer Vision Teachable Machine: Explore machine learning, live in your browser. If you're new to machine learning, visit the site on a desktop for a helpful first-time tutorial and better performance. The code for this experiment is open-sourced here on Github. Using data from Biomechanical features of orthopedic patients GitHub is more than just a programmer's tool. If you want to collaborate on anything, you should give it a try. Part 1 of a two-part look at getting started with GitHub. Machine Learning Part 9: Regularization 10 minute read Welcome back to my 9th tutorial on Machine Learning! I have been kept busy in last weekends, struggling in getting my desktop ready for Deep Learning. You may consider giving that post a look if you are planning to build your own "Monster" too: Building up my own machine for Deep Learning. ujjwalkarn-Machine-Learning-Tutorials.frankenstein