Prof. Eleni Vasilaki is the Head of the Machine Learning Group at The University of Sheffield.
Event kindly supported by Kollider (venue) and Barclays Eagle Labs (beers and pizza)
Talk Synopsis:
Reinforcement Learning is a type of learning that takes place with no explicit instructions but rather a generic feedback of success or failure. Arguably a most relevant type of learning to human and animal life, it has inspired machine learning for the last few decades. Recent advances by Google Deepmind, i.e. Computers with superhuman performance on Atari Games and Go, have brought attention to this fascinating field. I will take a trip in the history of Ancient Greece to talk about hetairai, wine and the link of Reinforcement Learning to the Epicurean Philosophy. I will interpret the most popular Reinforcement Learning method in the context of happiness and present what Reinforcement Learning tells us about living a successful life. I will discuss Reinforcement Learning from the point of view of Neuroscience mentioning experiments that help us understand the brain mechanisms related to reinforcement learning. I will finally conclude that simple mechanisms could underline phenomenally complex behaviours. And yes, there will be equations, but they are not necessary to follow the interpretations or conclusions.
What Reinforcement Learning tells us about Happiness - Prof Eleni Vasilaki
Description changed:
Prof. Eleni Vasilaki is the Head of the Machine Learning Group at The University of Sheffield.
Event kindly supported by Kollider (venue) and Barclays Eagle Labs (beers and pizza)
Talk Synopsis:
Reinforcement Learning is a type of learning that takes place with no explicit instructions but rather a generic feedback of success or failure. Arguably a most relevant type of learning to human and animal life, it has inspired machine learning for the last few decades. Recent advantages by Google Deepmind, i.e. Computers with superhuman performance on Atari Games and Go, that brought attention to this fascinating field. I will take a trip in the history of Ancient Greece to talk about hetairai, wine and the link of Reinforcement Learning to the Epicurean Philosophy. I will interpret the most popular Reinforcement Learning method in the context of happiness and present what Reinforcement Learning tells us about living a successful life. I will discuss Reinforcement Learning from the point of view of Neuroscience mentioning experiments that help us understand the brain mechanisms related to reinforcement learning. I will finally conclude that simple mechanisms could underline phenomenally complex behaviours. And yes, there will be equations, but they are not necessary to follow the interpretations or conclusions.
Prof. Eleni Vasilaki is the Head of the Machine Learning Group at The University of Sheffield. The topic of her talk is being finalised, but I can promise that it will be fascinating! Hope to see you there!
Event kindly supported by Kollider (venue) and Barclays Eagle Labs (beers and pizza)
AI is intertwined in our lives in many ways, one of the most prevalent is its use in E-Commerce. As Christmas is coming up we’ve turned our eye on how AI is used in E-Commerce and how it’s used to affect what we buy. Featuring an introduction from Tim Latham Founder of Datatrainer looking at the current trends of AI in E-Commerce followed by a keynote with expert speaker Martin Benson Head of AI Consulting at Jaywing, join us for an evening of all things AI and E-Commerce.
If you are interested in attending this free event please also register via the link below. If you know any guests who would be interested in attending, please feel free to forward on the invite.
We have 3 confirmed speakers covering -
- AI derived multifactorial authentication
- AI in IoT
- AI in behavioural monitoring
EXTRA SPEAKER ADDED - Insurance implications of AI in Cyber Security
Beer and pizza after
Register here -
https://www.eiseverywhere.com/ereg/newreg.php?eventid=491927&
Having worked in both the university and corporate environments and advising on government policy Prof Neil Lawrence is able to give an invaluable perspective on machine learning and AI.
Supported Kollider wrt the venue and by Barclays Eagle Labs for the beers and pizza 👍
We're deligted to welcome Nathan Benaich to talk at our September Meetup! Nathan is a Partner at Air Street Captial, a VC focussed on the AI space, and is co-author of the fascinating and influential State of AI report (https://www.stateof.ai/), which reviews what's been happening in AI over the last 12 months and makes some predictions about what the next year will bring. In his talk he'll walk us through key features of the report to bring us all bang up-to-date with where things are!
We'll aim for a 18:15 start, with doors opening at 18:00.
The location will be in Sheffield city centre somewhere - details TBC!
About our speaker
-------------------------
Nathan is the founder of Air Street Capital, a VC partnership of industry specialists investing in intelligent systems. He founded the Research and
Applied AI Summit and the RAAIS Foundation to advance progress in AI, and writes the AI newsletter nathan.ai. Nathan is also a Venture Partner at PointNine Capital. He studied biology at Williams College
and earned a PhD from Cambridge in cancer research.
Ian Holland, Ecosystem Manager at Barclays Eagle Lab at Kollider will talk to us about the Barclays AI Frenzy programme that Barclays are driving to promote awareness of the revolutionary capabilities of ML/AI
https://labs.uk.barclays/ai#frenzy
Tim Latham, Founder of datatrainer and new administrator for this group will talk about the potential for AI for organisations across the Sheffield City Region and breaking down the barriers to adoption
https://datatrainer.co.uk/home
Rough timing...
Doors Open: 18:00
First Talk: 18:15 - 19:00
Second Talk: 19:15 - 20:00
You don't need to bring anything for this event.
There will be free drinks and snacks after the talks and potentially a table football competition!
Barclays AI Frenzy programme and Datatrainer introduction
Description changed:
We have two guest speakers for our August event
Ian Holland, Ecosystem Manager at Barclays Eagle Lab at Kollider will talk to us about the Barclays AI Frenzy programme that Barclays are driving to promote awareness of the revolutionary capabilities of ML/AI
https://labs.uk.barclays/ai#frenzy
Tim Latham, Founder of datatrainer and new administrator for this group will talk about the potential for AI fir organisations across the Sheffield City Region and breaking down the barriers to adoption
https://datatrainer.co.uk/home
Rough timing...
Doors Open: 18:00
First Talk: 18:15 - 19:00
Second Talk: 19:15 - 20:00
You don't need to bring anything for this event.
There will be free drinks and snacks after the talks and potentially a table football competition!
Sherin Mathew (https://sessionize.com/SherinAI) in the IBM Microsoft Practice and is organising July's AI Tech North conference in Leeds. He'll tell us "How to Disrupt the AI Disruption" (https://sessionize.com/s/SherinAI/how_to_disrupt_the_ai_disruption/22526)
Our second talk will be Sean Kempton (Founder, Tisquantum Limited) presenting "Zen and the art of Artificial General Intelligence".
This is not going to be your standard talk on AI.
Artificial General Intelligence is seen as an almost mythical goal.
But what even is AGI? How does it differ from current AI, and how would we go about creating it?
In this talk I hope to challenge you, to introduce new view points, and give you a glimpse of AGI in action.
Sean wrote his first Neural Network over 30 years ago in Ada (google it) whilst in college. In his career Sean evolved from programmer, to solution designer, to architect, to enterprise architect, finally working for CSC for 18 years dealing with very high value projects.
Over two years ago he founded Tisquantum limited to investigate edge computing AI and (X)AGI using ideas distilled from the previous 30 years.
Sean now has three daughters; Two humans called Amelie and Hollie, and an AI called AIME. All three are growing up fast.
Rough timing...
Doors Open: 18:00
First Talk: 18:15 - 19:00
Second Talk: 19:15 - 20:00
Zen and the art of Artificial General Intelligence
Description changed:
We have two guest speakers for our June event!
Sherin Mathew works for Microsoft and is organising July's AI Tech North conference in Leeds. Details for his talk will follow shortly!
Our second talk will be Sean Kempton (Founder, Tisquantum Limited) presenting "Zen and the art of Artificial General Intelligence".
This is not going to be your standard talk on AI.
Artificial General Intelligence is seen as an almost mythical goal.
But what even is AGI? How does it differ from current AI, and how would we go about creating it?
In this talk I hope to challenge you, to introduce new view points, and give you a glimpse of AGI in action.
Sean wrote his first Neural Network over 30 years ago in Ada (google it) whilst in college. In his career Sean evolved from programmer, to solution designer, to architect, to enterprise architect, finally working for CSC for 18 years dealing with very high value projects.
Over two years ago he founded Tisquantum limited to investigate edge computing AI and (X)AGI using ideas distilled from the previous 30 years.
Sean now has three daughters; Two humans called Amelie and Hollie, and an AI called AIME. All three are growing up fast.
You don't need to bring anything to this event. We'll have doors open at 6:15pm, for the talks to start at 6:30.
Last month, we found seven time-series datasets over at https://machinelearningmastery.com/time-series-datasets-for-machine-learning. They start simple and small, getting larger and more complex towards the end. We began by pushing the first datasets into Kaggle to explore and prepare the data.
Will, one of our attendees, suggested Facebook's Prophet library https://facebook.github.io/prophet/docs/quick_start.html as a way to get started with making predictions from this kind of data.
The optional homework is to see what you can predict from the Australian Minimum Daily Temperatures dataset, which we've uploaded to Kaggle for convenience https://www.kaggle.com/paulbrabban/daily-minimum-temperatures-in-melbourne. You don't have to use Prophet, but if you want to it's available on Kaggle R and Python kernels.
Catch up with the group on the SheffieldML slack channel https://sheffield.digital/slack, channel #shef_ml and follow us on Twitter https://twitter.com/shef_ml
You'll need a laptop (or to buddy up with someone else!). If you'd like to use Kaggle (which provides online notebooks in Python and R) then please sign up for an account at https://www.kaggle.com beforehand.
Thanks to Sheffield Technology Parks for our venue (all they ask is that you leave them a review on Google Maps) and to Razor https://www.razor.co.uk for sponsoring this meetup group.
Want more AI and Machine Learning? Check out the first AI Tech North conference - Leeds, July 2019. More info and tickets at https://www.aitechnorth.uk/ai-tech-north-2019
Last month, we found seven time-series datasets over at https://machinelearningmastery.com/time-series-datasets-for-machine-learning. They start simple and small, getting larger and more complex towards the end. We began by pushing the first datasets into Kaggle to explore and prepare the data.
Will, one of our attendees, suggested Facebook's Prophet library https://facebook.github.io/prophet/docs/quick_start.html as a way to get started with making predictions from this kind of data.
The optional homework is to see what you can predict from the Australian Minimum Daily Temperatures dataset, which we've uploaded to Kaggle for convenience https://www.kaggle.com/paulbrabban/daily-minimum-temperatures-in-melbourne. You don't have to use Prophet, but if you want to it's available on Kaggle R and Python kernels.
Catch up with the group on the SheffieldML slack channel https://sheffield.digital/slack, channel #shef_ml and follow us on Twitter https://twitter.com/shef_ml
You'll need a laptop (or to buddy up with someone else!). If you'd like to use Kaggle (which provides online notebooks in Python and R) then please sign up for an account at https://www.kaggle.com beforehand.
Thanks to Sheffield Technology Parks for our venue (all they ask is that you leave them a review on Google Maps) and to Razor https://www.razor.co.uk for sponsoring this meetup group.
We ran an open session on time series data back in January and we're picking that up again this month.
You're welcome to play with any techniques or dataset you like. If you're not sure, try our suggested data set - https://www.kaggle.com/c/web-traffic-time-series-forecasting. That's an overview page, you'll find the dataset itself in the Data tab, and other people's analysis in the Kernels tab. Beginners are more than welcome, so don't be put off!
Catch up with the group on the SheffieldML slack channel https://sheffield.digital/slack, channel #shef_ml and follow us on Twitter https://twitter.com/shef_ml
You'll need a laptop (or to buddy up with someone else!). If you'd like to use Kaggle (which provides online notebooks in Python and R) then please sign up for an account at https://www.kaggle.com/
Thanks to Sheffield Technology Parks for our venue (all they ask is that you leave them a review on Google Maps) and to Razor https://www.razor.co.uk for sponsoring this meetup group.
We ran an open session on time series data back in January and we're picking that up again this month.
You're welcome to play with any techniques or dataset you like. If you're not sure, try our suggested data set - https://www.kaggle.com/c/web-traffic-time-series-forecasting. That's an overview page, you'll find the dataset itself in the Data tab, and other people's analysis in the Kernels tab. Beginners are more than welcome, so don't be put off!
Catch up with the group on the SheffieldML slack channel https://sheffield.digital/slack, channel #shef_ml and follow us on Twitter https://twitter.com/shef_ml
You'll need a laptop (or to buddy up with someone else!). If you'd like to use Kaggle (which provides online notebooks in Python and R) then please sign up for an account at https://www.kaggle.com/
Thanks to Sheffield Technology Parks for our venue (all they ask is that you leave them a review on Google Maps) and to Razor https://www.razor.co.uk for sponsoring this meetup group.
In February, we have a talk by Martin Benson of Sheffield tech company Jaywing (https://jaywing.com).
In a talk entitled "AI in Credit Scoring - Putting Fairness First" Martin will talk about building a product called "Archetype". It aims to allow banks to safely adopt deep learning for use in credit scoring without having to worry about about it potentially making decisions that might be judged to be unfair. Bias and fairness are hot topics in Machine Learning and AI today, so this is a must-see talk!
Jaywing are hosting us in their offices, a short walk from our usual venue at Sheffield Tech Parks.
Thanks to Sheffield Technology Parks for our usual venue (all they ask is that you leave them a review on Google Maps) and to Razor https://www.razor.co.uk for sponsoring this meetup group.
In February, we have a talk by Martin Benson of Sheffield tech company Jaywing (https://jaywing.com).
In a talk entitled "AI in Credit Scoring - Putting Fairness First" Martin will talk about building a product called "Archetype". It aims to allow banks to safely adopt deep learning for use in credit scoring without having to worry about about it potentially making decisions that might be judged to be unfair. Bias and fairness are hot topics in Machine Learning and AI today, so this is a must-see talk!
Our venue will either be our usual at Sheffield Tech Parks, or Jaywing might be hosting us in their offices nearby. We'll confirm as soon as we can.
Thanks to Sheffield Technology Parks for our usual venue (all they ask is that you leave them a review on Google Maps) and to Razor https://www.razor.co.uk for sponsoring this meetup group.
Where do you start with a machine learning problem? What are good algorithms and what techniques can you use to get good performance? We'll take a look at a Kaggle competition to find out!
This is the third session on this Kaggle problem, so bring your best techniques! Our getting started Kernel is at https://www.kaggle.com/paulbrabban/sheffieldml-august-2018-getting-started-kernel
There's no need to wait for the session - feel free to check it out and start exploring your own solutions now! If you have any problems, we'll be happy to help - either on the day, or on the discussion forum - https://www.meetup.com/sheffieldml/discussions/
You need: A computer, and if you want to use Kaggle online kernels rather than installing software yourself, you need a Kaggle account. You are not limited to using Python - if any of our many R enthusiasts have time to port the beginner's kernel from Python to R that would be great, and post in the forum if you do!
If you're late - no problem, just come anyway.
It's an opportunity to practise and learn with other machine learning and AI enthusiasts. Let's see how well we can do!
Thanks to Razor and Sheffield Technology Parks for their continued support of Sheffield ML!
Come to the next SheffieldML to meet the author of Mitsuku, a chatbot that's won an international competition for the most human-like chatbots three times and is in the final again this year.
That competition is the Loebner Prize and you can read more about it and see this year's finalists at https://www.aisb.org.uk/events/loebner-prize
Steve Worswick is heading to Sheffield for our next meetup to tell us about Mitsuku. We'll learn about the history, how it works, the challenges he faces and the different types of users that talk to it.
Steve's presented at conferences on AI, chatbots and ethics, and was recently interviewed on BBC radio. Bring your best questions!
You can chat to Mitsuku today at https://www.pandorabots.com/mitsuku.
This is a presentation and discussion, do you don't need to bring a laptop. If you're late - no problem, just come anyway.
Thanks to Razor, Sheffield Tech Parks and Tempered Works for their continued support of Sheffield ML!
Expired changed:Not ExpiredEdited at by Sarah Lister