Introduction to Machine Learning – for those who fear being left behind! – 1st November 2023 @ 14:00 (GMT)

Are you worried there’s a chance you might get left behind with all this talk of Machine Learning and AI? It doesn’t look now as if it’s going to disappear again, like it has done so many times before in the past, so maybe now is the time to invest and learn a bit? But where to start? How do you know what you don’t know?

This webinar is intended to just give you some background, to help you get in a better place to make decisions about what, training and development you might need, if any. We distil some of the mountains of info out there on the web and hopefully give you enough to get your thinking started in a safe environment. And to get to grips with the buzz words and jargon flying around the business world and internet at the moment.

We start with outlining what ML actually isn’t, and get rid of some popular misconceptions. Then we will give you a brief timeline of where it has all come from before it blew up the internet in the last year or so. After this, we will mention some of the challenges business faces, what questions you need to be asking and what skills you and your staff might need to stay relevant. Then we start to think about data – what IS big data and how big does it actually need to be now? And what other things might be important, like software? We will close by talking about some common ML techniques that you may already have heard of but using different names and show you some examples of possible applications in business.

If this is of interest to you, then sign up for our FREE webinar, and find out what you need to be doing now to ensure you don’t miss out. This is a – no frills, no question is too basic, available to every level – style webinar. It will be recorded in case you can’t attend on the day.

Pre-Requisites:

• None

About the Trainer:

Gemma has worked as a statistician, project manager, trainer and business consultant for over 25 years across a wide variety of projects within large and small multidisciplinary teams. Gemma has an MSc in Medical Statistics, was a statistician and a global project manager at Pfizer, then Takeda Global R&D, before joining Qi in 2012. Gemma’s business background and excellent statistical and communication skills are invaluable to our clients wanting to maximise information for competitive advantage from their data. Gemma now owns Qi and is the Director of Qi Statistics, but her ultimate goal is to be able to explain anything statistical to anyone, whatever their background or knowledge level.