Sometimes these notebooks find their way into production, but their code and structure are often far from ideal. In this session, we cover some best practices around creating and operationalising notebooks. We will talk about structure, code style, refactoring in notebooks, unit testing, reproducibility and more. Nikolay Manchev is a machine learning enthusiast and speaker. His area of expertise is Machine Learning and Data Science, and his research interests are in neural networks with emphasis on biological plausibility. Nikolay was a Senior Data Scientist and Developer Advocate at IBM [masked]) and currently acts as the Principal Data Scientist for EMEA at Domino Data Lab. Talk 3: Generative Deep Learning - The Key To Unlocking Artificial General Intelligence by David Foster Generative modelling is one of the hottest topics in AI. It's now possible to teach a machine to excel at human endeavours such as painting, writing, and composing music. In this talk, we will cover: - A general introduction to Generative Modelling - A walkthrough of one of the most utilised generative deep learning models - the Variational Autoencoder (VAE) - Examples of state-of-the-art output from Generative Adversarial Networks (GANs) and Transformer based architectures.

Apple announced Thursday the venue and date for its annual Worldwide Developers Conference, which is where the company updates developers on the latest iOS and macOS news. Last year Apple unveiled iOS 10, which revamped iMessage and the Photos and Maps apps, along with other features. At this year's event iOS 11 (if that is what Apple calls it) is likely to feature improvements on Siri. At the WWDC, which will be held in San Jose, California this year, Apple introduces the newest versions of its software platforms. Siri will have to make improvements so that Apple can lead among tech companies in AI.