The practical guide to launching machine learning initiatives in your organization.
This in-depth ebook provides practical advice for organizations looking to launch a machine-learning initiative, and explores use cases for 6 industries involved in AI and machine learning today.
Companies with big data strategies have already satisfied one condition, but any organization can jump into machine learning through a variety of open source and proprietary solutions. This ebook guides you through several options.
We live in a time of massive market disruption. On top of the long-running computer revolution, the business world is now faced with artificial intelligence, machine learning, and deep learning—part of the emerging fourth industrial revolution.
Author Peter Morgan is CEO of Deep Learning Partnership, a company that consults and trains on the latest in deep learning and artificial intelligence algorithms and full stack solutions . He runs the Deep Learning Lab meetup group in London. He is also authoring a book on Quantum Computing for Springer and a paper on active inference, a general theory of intelligence, with Professor Karl Friston at the UCL. In a past life, Peter was a theoretical high energy physicist, and a Solutions Architect for companies such as IBM, BT Labs, and Cisco Systems. He enjoys frisbee and golfing. Further information can be found on his LinkedIn profile.
About the author:
Discover the Key to Machine Learning Success
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Author Peter Morgan, CEO of Deep Learning Partnership, takes you through 3 ML requirements: sophisticated learning algorithms; dedicated hardware; large datasets.