Machine Learning with ML.NET

Zivkovic Nikola

Ostali podaci

Desktop Languages, Frameworks, Developer Tools, Game Develpment, UX, IoT, Azure PaaS
Na našem
16:30 - 17:30

Opis predavanja

At the moment machine learning is crossing the chasm, from early adopters to the early majority.
Even though concepts of this field can be traced back to the 50s, big breakthroughs have been made in the last several years.
Apart from that, there are many machine learning libraries available, especially for data science languages like Python and R. Today we can develop Machine Learning applications on our PCs using ML.NET and C# as well.
In this lecture, we will see how we can use this library.
We will focus on issues that data scientist can face when presented with the problem.
For this purpose, we will use the Bike-Sharing Demands dataset.
This dataset is containing the data generated by the Capital Bikeshare program in Washington, D.C. 
In essence, Bike sharing systems are a means of renting bicycles where the process of obtaining membership, rental, and bike return is automated via a network of kiosk locations throughout a city.
We will use this historical and weather data, machine learning, ML.NET and C# to predict future bike-sharing demands for this city.

My name is Nikola Živković and I am a software developer with over 10 years of experience in the industry. I’ve earned my Master’s degree in Computer Science from the University of Novi Sad back in 2011, but by then I was already working for several companies. At the moment I am a part of Vega IT Sourcing team from Novi Sad. During the time span in the industry, I worked on large enterprise systems as well as on small web projects. In the past couple of years I have been specializing in Data Science (Machine Learning and Deep Learning to be precise) and my goal is to put unite this knowledge together with some best traditional programming practices. Apart from that, I have experience in knowledge sharing, talking at meetups, conferences and as a guest lecturer at the University of Novi Sad. You can check out some of my online courses on Packt Publishing.

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