Serverless Deep Neural Network(DNN) with Azure Functions and ML.Net

How does a machine classify different species of animals just by looking at an image? Computer Vision is the branch of Machine learning that does the magic and deep learning helps in achieving it. In this session, I will cover an introduction to Computer Vision, Deep Neural Networks and show how to build a serverless image classification application using Microsoft Azure Functions and ML.Net framework. The implementation will be in C# language.

Machine Learning using C# on Jupyter notebook

The Jupyter Notebook is an open-source web application that you can use to create and share documents that contain live code, equations, visualizations, and text. It's very famous in Data Science and Machine Learning community. It has diverse support for different languages such as Python, Julia, R, etc. Recently, Microsoft added support for C#/F# making it accessible to lots of .Net developers. In this talk, I'll talk about the Jupyter notebook, C# on Jupyter notebook with some examples.

https://devblogs.microsoft.com/cesardelatorre/using-ml-net-in-jupyter-notebooks/

Introduction to ML.Net

ML.Net is a machine learning framework from Microsoft. It's a cross-platform, enterprise-ready, proven at scale framework utilized in Bing search, PowerPoint, Power BI, etc. It brings analytical and prediction capabilities to existing .Net developers. It allows building custom ML models. In this session, we'll cover an introduction to Machine learning, ML.Net, various features, tools present in the library along with some examples

Cricket analytics and predictions using ML.Net

Cricket, a game of bat and ball is one of the most popular game and played in varied formats(I. Its a game of numbers with each match generating plethora of data about players and match. This data is used by analysts and data scientists to uncover meaningful insights and forecast about matches and players performance. In this session, I'll be performing some analytics and prediction on the cricket data using Microsoft ML.Net framework and C#.

COVID-19 Exploratory Data Analysis using Microsoft .Net

This is an introductory session to explore the COVID-19 dataset to perform exploratory data analysis and prediction using Microsoft.Net. The talk includes an introduction to COVID-19, Jupyter Notebook(C# kernel), Plots, and exploratory data analysis such as Data Loading, cleaning, and visualization and prediction. Everything using the most loved language in .Net ecosystem - C#.

https://github.com/praveenraghuvanshi1512/covid-19