In general, our meetup does not run presentation based events, as we focus on events during which everyone can participate and be heard.
However, we have decided to organise a FirstTimeSpeakers event during which new speakers will be encouraged to give a 10-15 min talk about anything tech related - any stack, any softskill.
Why? Well, because we are interested in seeing new faces and hearing of new perspectives, experiences and technologies. We are a welcoming meetup and we can also help speakers to prepare.
Coaching superpowers: exquisite discovery, deep listening and resonating with customer needs - a workshop on Clean Language by Richard Cornelius and Martin Burns
Full session details: http://leanagile.scot/2018/sessions/index.php?session=208
As defined by Wikipedia, Serverless computing is a cloud-computing execution model in which the cloud provider dynamically manages the allocation of machine resources. Pricing is based on the actual amount of resources consumed by an application, rather than on pre-purchased units of capacity.
AWS Lambda, introduced by Amazon in 2014, was the first public cloud vendor with an abstract serverless computing offering. AWS Lambda natively supports Node.js, Python, Java, C# and Go.
We are going to take a closer look at serverless computing, its advantages and disadvantages and how we can leverage PHP in the serverless execution model.
As defined by Wikipedia, Serverless computing is a cloud-computing execution model in which the cloud provider dynamically manages the allocation of machine resources. Pricing is based on the actual amount of resources consumed by an application, rather than on pre-purchased units of capacity.
AWS Lambda, introduced by Amazon in 2014, was the first public cloud vendor with an abstract serverless computing offering. AWS Lambda natively supports Node.js, Python, Java, C# and Go.
We are going to take a closer look at serverless computing, its advantages and disadvantages and how we can leverage PHP in the serverless execution model.
We have plenty of ideas about all the fab stuff we could do at the Glasgow Wordpress meetup... But we would also love to hear what you would like it to be about.
Everyone's welcome regardless of experience. We'll always do our best to hold our events at accessible venues and maintain entry free of charge.
Come along and become part of the growing community!
We'll be posting more information about each particular event as time goes by...
Scotland has a mature, experienced and innovative data centre and hosting community delivering key managed services to global clients in Retail, Health, FS, Food & Drink, Government, Energy. These providers deliver colocation, hosting, cloud and hybrid services that support the digital data driven economies all our business work and grow in, to the highest compliance standards.
This half day gathering brings together specialists from in-country expertise – right here on your doorstep – combined with global experts as well as demand side experts from Fintech and Education, offering people from across the data management community the opportunity to hear about the latest developments, existing capabilities and future plans and to network with peers.
Eyecademy will talk about their Predictive analytics tool ‘seeHR’ which applies Data science techniques to HR data. In particular they will discuss the problem that they were trying to solve, the technology behind it , why they chose to use this tech stack, how they integrated the data science calculations into the product and what data science they used to produce the results.
Agenda:
6:30 PM – 7:00 PM: Networking
7:00 PM – 7:30 PM: Garry Doherty – Application Developer - https://www.linkedin.com/in/garry-doherty-356a73138
7:30 PM – 7:45 PM: Q & A Session
7:45 PM – 8:15 PM: Kathryn McCrindle – Data Scientist - https://www.linkedin.com/in/kathrynmccrindle
8:15 PM – 8:30 PM: Q & A Session
8.30 PM - 9.00 PM: Networking and Drink
Machine Learning made beautifully simple for everyone
Description changed:
Machine Learning made beautifully simple for everyone
Machine learning is quickly becoming a commodity, part of the standard toolbox of any business or activity that wants to extract actionable insights from its data pool. Besides cat recognition, predicting customer churn, helping medical diagnosis, red-flagging suspicious monetary transactions, or deciding whether a legal document is compliant are a few examples of problems where ML excels, providing answers that are faster, cheaper and more reliable than those of human experts alone.
While the underlying algorithms are certainly non-trivial, modern ML platforms such as BigML's are offering a simple interface to them (typically based on REST calls or similar API), making ML accessible to non-experts, and making it possible to incorporate ML techniques in wider contexts.
However, as a user of these services, it is important to have a good conceptual grasp of what kind of problems ML can and cannot solve, what kind of data is useful and what kind isn't, how to transform the latter to the former, and to have a good high-level understanding of what kinds of algorithms and techniques are at your disposal.
This talk will try to give you an introduction to these topics, using BigML to illustrate them (but without entering in the nitty-gritty details of the platform).
Speaker - Jose "jao" Ortega - Co-founder, Hacker at Large and CTO https://bigml.com
Linkedin - https://www.linkedin.com/in/jaortega
Jose "jao" Ortega was a physicist studying gravitational waves in a former life, and turned to computers by the end of last century. His first projects where related to telecommunications software and then moved to startups using AI and ML in the days of the first web bubble.
Still in the startup space, he worked in cryptographic protocols for secure voting. After an interlude teaching programming and computer networks at the Autonomous U. of Barcelona, he participated in the development of software for the ESA LISA Pathfinder project, and then spent some time working at Google, which he left to help making Minority Report real at Oblong. In 2011, he co-founded BigML, where he's still hacking despite being its CTO, and has recently moved to Edinburgh, where BigML is planning to open his Alba Labs by the end of the year.
Agenda (The agenda may change as we are keen for this to be an interactive session with lots of questions)
6:30 PM – 7:00 PM: Networking
7:00 PM – 8.00 PM: Jose "jao" Ortega - Co-founder, Hacker at Large and CTO https://bigml.com
8.00 PM – 8.30 PM: Q & A Session
8.30 PM - 9.00 PM: Networking and Drink
