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Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK
Amitai Armon

Amitai Armon
Chief Data Scientist, Intel Advanced Analytics, Intel

Amitai Armon is the chief data scientist for Intel’s Advanced Analytics group, which provides solutions for the company’s challenges in diverse domains ranging from design and manufacturing to sales and marketing, using machine learning and big data techniques. Previously, Amitai was the cofounder and director of research at TaKaDu, a provider of water-network analytics software to detect hidden underground leaks and network inefficiencies. The company received several international awards, including the World Economic Forum Technology Pioneers award. Amitai has about 15 years of experience in performing and leading data science work. He holds a PhD in computer science from the Tel Aviv University in Israel, where he previously completed his BSc (cum laude, at the age of 18).


12:0012:30 Tuesday, 23 May 2017
Data science and advanced analytics
Location: London Suite 2/3
Secondary topics:  AI, Deep learning
Level: Intermediate
Amitai Armon (Intel), Yahav Shadmi (Intel)
Average rating: *****
(5.00, 2 ratings)
Neural-network models have a set of configuration hyperparameters tuned to optimize a given model's accuracy. Yahav Shadmi demonstrates how to select hyperparameters to significantly reduce training time while maintaining accuracy, present examples for popular neural network models used for text and images, and describe a real-world optimization method for tuning. Read more.