SQLBits encompasses everything from in-depth technical immersions to the enhancement of valuable soft skills. The full agenda will be announced in the spring; in the meantime check out the timetable and content we cover below.
2024 Training Days
Presenting 2024’s selection of training days, encompassing a deep dive into a range of subjects with some of the best data trainers in the world.
- 08:00 Registration opens and breakfast served.
- All training days run simultaneously across the venue from 09:00 – 17:00 with co-ordinated breaks.
- All training days include regular refreshment breaks and a lunch stop to rest, recharge, and chat to fellow delegates.
- No evening events planned, but if you’re staying over the night beforehand, why not join us in the Aviator on Monday night to meet the training day speakers for an informal drinks reception.
Getting started with Azure Machine Learning
Description
A great way to get started in the field of artificial intelligence and machine learning is with Azure Machine Learning service. This 1 day workshop first introduces the most important concepts on machine learning in general. Then, in the next 3 modules, the different types of machine learning are demonstrated and practiced:
Automated machine learning is an easy yet powerful way to get started. The Azure ML service tries a few different approaches and reports back how well they performed.
The Designer is handy for people who want to have more control over the machine learning pipeline but do not want to become experts in computer languages such as Python or R.
Finally Python can be used to full control over the machine learning process. But even then Azure can help by logging the outcome of the experiments, provide easy to configure docker images to run the machine learning code, or in generating web services to consume the results.
Curious to see all of this in action, and even to have some hands-on experience with this? Be sure then to attend this workshop! The workshop requires no prior knowledge of machine learning nor statistics, but some familiarity with the Azure portal in general is assumed if you want to participate in the hands-on labs.
Learning Objectives
Previous Experience
Tech Covered
Deploying, Cloud, Python, Azure ML, AI and data science, Developing