While full artificial intelligence is still far in the future, the latest machine-learning algorithms are making progress on problems that we previously thought were the unique domain of humans—tasks like speech and object recognition. In a hands-on tutorial, Marc Warner explores what’s possible (and not) with machine learning and what that means for businesses. You’ll gain experience with cutting-edge artificial intelligence by building your very own handwriting recognition engine. This will be placed in the wider context of what it means for businesses, so you can understand what is (and is not) currently possible with algorithms, and how these are translated to the real world and business value. If you are an executive, product manager, business leader, or user, Marc will help you lead innovative machine-learning projects more effectively.
Marc Warner is the cofounder and CEO of ASI Data Science. He founded ASI in the belief that the benefits of AI should extend to everyone and has shaped the company so that it can support organizations of all shapes and sizes to take advantage of rapid advances in this field. In the two years since founding ASI, Marc has overseen its growth to more than 50 employees and expanded its scope from a small fellowship scheme to a cutting-edge range of software, training, project, and advisory services. He has led over 50 data science projects for clients ranging from multinational companies like EasyJet and Siemens to the UK government and NHS. His work has been covered by the BBC, the Telegraph, the Independent, and many more. Previously, Marc was the Marie Curie Fellow of Physics at Harvard University, studying quantum metrology and quantum computing. His PhD research, in the field of quantum computing, was awarded the Stoneham prize and was published in Nature and covered in the New York Times.
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