Events Even if news coverage of machine learning and AI leaves you wondering whether to laugh or cry, you know these technologies are going to profoundly change your organisation as either you adopt them or your partners and rivals do. That's why the agenda at MCubed next month will show you how to get to grips with the technology, apply it to the problems you face in your business or organisation and plan for the unexpected – whether it's security problems, privacy issues, or bias in training data. So in addition to our distinguished keynote speakers Dr Joanna Bryson and Professor Dagmar Monett Diaz, we've got speakers like Chris Knight demystifying machine learning, and Tesco alum Kate Kilgour rehearsing the basic maths underpinning it. We have in-depth examinations of key tools and techniques such as TensorFlow, Keras and Lime. Getting even more practical, we have Isabel Sargent leading a trio of speakers from the ONS talking about their use of deep learning in landscape mapping, Sören Klemm on making neural networks work when there are minimal resources available, and Ingo Elsen on applying machine learning to predicting train delays at Deutsche Bahn.
Events We've got four workshops running on October 17, covering different technologies and approaches to getting machine learning to work for your organisation. And places for all of them are filling fast. Oliver Zeigermann returns to take you through the basics of machine learning, before diving into neural networks and deep learning and working up to convolutional neural networks, all using TensorFlow and sklearn. To learn how to build basic models and crucially get them into production in the real world, join Terry McCann for his workshop on "From model to production using the cloud, Containers and Devops". As well as using Python to develop models, this highly interactive session will show how to exploit common technologies such as Azure, Docker and Kubernetes.
GANs are the new hottest topic in the ML arena; however, they present a challenge for the researchers and the engineers alike. Their design, and most importantly, the code implementation has been causing headaches to the ML practitioners, especially when moving to production. The workshop aims at providing a complete understanding of both the theory and the practical know-how to code and deploy this family of models in production. By the end of it, the attendees should be able to apply the concepts learned to other models without any issues. We will be showcasing all the shiny new APIs introduced by TensorFlow 2.0 by showing how to build a GAN from scratch and how to "productionize" it by leveraging the AshPy Python package that allows to easily design, prototype, train and export Machine Learning models defined in TensorFlow 2.0.
Our early bird ticket offer for Minds Mastering Machines expires this evening, so act now if you want to enjoy three days of conference and workshops showing how real organisations can exploit machine learning and artificial intelligence. Our independent programme committee has lined up two superb keynote speakers, 36 conference sessions, and four optional deep dive workshops. The aim is to ensure you get a hype-free take on the fundamentals of the technology, what it can do for your organisation, and how you should go about introducing it. Our speakers will take you from the nuts and bolts of ML and AI, including key maths concepts and algorithms, through to essential frameworks and platforms, including Tensorflow and Keras. We will also have in-depth explanations of how the technology is being applied to real world business, engineering and academic problems, and experimental reports on to managing ML projects and how to take into account issues such as privacy, security, and how to guard against bias.