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9781803237015

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Mani Khanuja is a seasoned IT professional with over 17 years of software engineering experience. She has successfully led machine learning and artificial intelligence projects in various domains such as forecasting, computer vision, and natural language processing. At AWS, she helps customers to build, train, and deploy large machine learning models at scale. She also specializes in data preparation, distributed model training, performance optimization, machine learning at edge, and automating the complete machine learning lifecycle to build repeatable and scalable applications. Farooq Sabir is a research and development expert in machine learning, data science, big data, predictive analytics, computer vision, image, and video processing. He also has 10+ years of professional experience. Shreyas Subramanian helps AWS customers build and fine tune large-scale machine learning and deep learning models, and rearchitect solutions to help improve security, scalability, and efficiency of machine learning platforms. He also specializes in setting up massively parallel distributed training, hyperparameter optimization, reinforcement learning solutions, and provides reusable architecture templates to solve AI and optimization use cases. Trenton Potgieter is an expert technologist with 25 years of both local and international experience across multiple aspects of an organization; from IT to Sales, Engineering and Consulting, Cloud, and on-premises. He has a proven ability to analyze, assess, recommend, and design appropriate solutions that meet key business criteria, as well as present and teach these from engineering to executive levels.

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