Machine Learning in Action
An interview with bookbinders Rosemary and Jasmin - Peter Harrington Journal - The Journal
Peter Harrington - Machine Learning Engineer - National Energy Research Scientific Computing Center (NERSC) | LinkedIn
AIT 322 MACHINE LEARNING 2 (1+1) Objective(s) At the end of this course, Student will have better understanding of Machine
V Escola de Inverno de Quimiometria - Conheça alguns dos nossos convidados: Prof. Dr. Peter Harrington é professor da Ohio University (EUA) e irá ministrar um minicurso sobre as ferramentas recentes de
21 Best Machine Learning Books for Beginners and Experts
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21 Best Machine Learning Books for Beginners and Experts
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Machine Learning in Action
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Machine Learning in Action
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Become a Data-driven Organization with Machine Learning
![PDF] The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism by Yosuke Oyama, Naoya Maruyama, Nikoli Dryden, Erin McCarthy, Peter Harrington, Jan Balewski, Satoshi Matsuoka, Peter](https://og.oa.mg/The%20Case%20for%20Strong%20Scaling%20in%20Deep%20Learning:%20Training%20Large%203D%20CNNs%0A%20%20with%20Hybrid%20Parallelism.png?author=%20Yosuke%20Oyama,%20Naoya%20Maruyama,%20Nikoli%20Dryden,%20Erin%20McCarthy,%20Peter%20Harrington,%20Jan%20Balewski,%20Satoshi%20Matsuoka,%20Peter%20Nugent,%20Brian%20Van%20Essen "PDF] The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism by Yosuke Oyama, Naoya Maruyama, Nikoli Dryden, Erin McCarthy, Peter Harrington, Jan Balewski, Satoshi Matsuoka, Peter")
PDF] The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism by Yosuke Oyama, Naoya Maruyama, Nikoli Dryden, Erin McCarthy, Peter Harrington, Jan Balewski, Satoshi Matsuoka, Peter
Peter Harrington - Machine Learning Engineer - National Energy Research Scientific Computing Center (NERSC) | LinkedIn
