Join this Datapalooza talk by Nikolay Manchev and Natalia Konstantinova to learn about curve fitting and model validation, and the challenges of creating and introducing chatbots to the business.
Please note: If you haven't attended the first two lectures in the series, there is a recording available on Skills Matter and YouTube. Please spend some time to familiarise yourself with the topics from the previous lectures, so you can get the most value out of Lecture 3.
Just a reminder: The language of choice for the series is Python, so if you are not familiar with Python or if you need to brush up your skills I suggest you spend some time with the videos from the freely available Google's Python Class.
Nikolay has over 10 years of database experience and has been involved in large scale migration, consolidation, and data warehouse deployment projects in the UK and abroad. He is a speaker, blogger, author of numerous articles and a book on advanced database topics. For the last three years Nikolay has been working exclusively in the big data (Hadoop) space with focus on Spark and machine learning. He has an M.Sc. in Software Technologies and is working towards an M.Sc. in Data Science.
Natalia Konstantinova is a great enthusiast in the application of Natural Language Processing, Artificial Intelligence, IT and machine learning technologies to real world problems. She got her PhD from the University of Wolverhampton and worked in various fields such as machine translation, ontologies, information extraction and currently dialogue systems and chat bots. She is currently a lead software engineer in the R&D department of First Utility, the UK's largest independent energy provider, supplying gas and electricity to more than one million UK homes.