4 Easy Tools to Infuse AI & Machine Learning Today

Technology in 2018 is being dominated by AI and machine learning as the industry is trying to incorporate these into every aspect of their business. Microsoft is keeping up-to-date with trends by working continually to enable processes with AI machine learning for your .NET apps and .NET software development.

Here is the latest in .NET Application Development including a few amazing tools and features which you can use  with .NET to bring the power of Artificial Intelligence to your applications today:

• One can choose his/her own models or use pre-built auto-retrained libraries for incorporating AI in any of the .NET apps they want, with just a few clicks, without even the need of sophisticated coding knowledge.
• Microsoft .NET includes ready-to-use AI tools like Cognitive Service Bots, CoreML & Vision for Xamarin iOS apps and CNTK.
• Advanced developers who want to build their own custom machine learning and AI models, can use Azure Machine Learning & CNTK Tensorflow Accort.NET.

Pre-Built Tools

Cognitive services provide a variety of pre-built models which can easily integrate AI and Machine Learning into .NET applications. There are powerful, free open-source API algorithms like Vision, Knowledge, Language, Speech and Search which can be used in the applications by C# developers when and where needed.

CoreML & Visual Studio for Xamarin iOS developers use prebuilt machine learning modules to build iOS apps. This can be used on the devices to load Apple’s AI models. Based on input-output model, once the requirement is properly understood, it can be compiled into any app. Xamarin supports CoreML and Visual Studio to build iOS applications.

Deep learning using CNTK is enabled by Microsoft’s free open-source deep learning library with large variety of neural networks like LSTM, ConvNets, feed forward brainscript and C# other deep architectures:

• CNTK is written in C++ that provides binding in Python, brainscript. CNTK provide pre-train alex.NET google.NET to be used for C# applications.
• CNTK C# applications can be used for building, training and evaluating CNTK modules.
• To use  CNTK pre-trained modules C# developers can use cognitive services Core ML for Xamarin or generate and consume your owns models built with Azure Machine Learning, popular machine & deep learning libraries like CNTK, Tensorflow and Accord.NET

Azure Machine Learning

Azure Machine learning is a browser-based studio for developers who would prefer a drag and drop approach rather than an all coding one. It supports hundreds of built-in packages and custom codes enabling Python and R users into the system. The drag and drop approach is made to enable even complex data science and analytics requirements seamlessly.

Tensor is the latest .NET sensation making it easier for machine learning libraries like   CNTK, Tensorflow to expose their API to .NET applications by bringing in minimal customization.

Some of the features include:

• It acts as container for homogeneous multidimensional data for one-one dimensions.
• It is designed for optimized exchange type for multi dimensional machine-learning data.
• It supports different sparse and dense layouts providing efficient interrupt for native libraries like CNTK ensuring minimal copies of data.
• Soon it will be a part of base class libraries working with any type of memory be it unmanaged or managed, allow for slicing and indexing data efficiently

Call us at 484-892-5713 or Contact Us today to know more about how .NET and Artificial Intelligence tools help to infuse AI and machine learning today.