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Meet up

Machine Learning and Chat Bots

Thursday, 29th September at CodeNode, London

This meetup was organised by IBM Developer in September 2016

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.

Curve fitting and model validation

Machine Learning is a new and interesting area for data scientists and so we are running an education series to help build skills. In this third lecture we will discuss various assumptions in linear regression models and how to validate them. We will look at high-order polynomial curves and how we can use them to capture curvilinear relationships. We will also introduce the holdout method and k-fold cross validation for estimating the generalisation of the models to unseen data.

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 Manchev

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.

Challenges of creating and introducing chatbots to the business

There is a lot of hype around chatbots and a host of new platforms were released recently. However, introducing this technology into a well established business is not always easy. Natalia will talk through the technical and business challenges teams can face when creating and adopting chatbots and give a demonstration of one that is now live in First Utility.

Natalia Konstantinova

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.

Thanks to our sponsors

Attending Members

Overview

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.

Curve fitting and model validation

Machine Learning is a new and interesting area for data scientists and so we are running an education series to help build skills. In this third lecture we will discuss various assumptions in linear regression models and how to validate them. We will look at high-order polynomial curves and how we can use them to capture curvilinear relationships. We will also introduce the holdout method and k-fold cross validation for estimating the generalisation of the models to unseen data.

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 Manchev

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.

Challenges of creating and introducing chatbots to the business

There is a lot of hype around chatbots and a host of new platforms were released recently. However, introducing this technology into a well established business is not always easy. Natalia will talk through the technical and business challenges teams can face when creating and adopting chatbots and give a demonstration of one that is now live in First Utility.

Natalia Konstantinova

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.

Thanks to our sponsors

Who's coming?

Attending Members