conf.startup.ml
Startup.ML ConfScalable machine learning conference in San Francisco using open source tools: Vowpal Wabbit, Torch7, Theano, Hyperopt, H2O, Spark MLlib
http://conf.startup.ml/
Scalable machine learning conference in San Francisco using open source tools: Vowpal Wabbit, Torch7, Theano, Hyperopt, H2O, Spark MLlib
http://conf.startup.ml/
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Startup.ML Conf | conf.startup.ml Reviews
https://conf.startup.ml
Scalable machine learning conference in San Francisco using open source tools: Vowpal Wabbit, Torch7, Theano, Hyperopt, H2O, Spark MLlib
conf.startup.ml
San Francisco 1/17/15 — Startup.ML Conf
https://conf.startup.ml/speakers-1
ML @ Community Banks. ML @ Community Banks. Deep Learning & Probabilistic Programming. Jan 17, 2015 / San Francisco. May 16, 2015. May 16, 2015. Soumith Chintala, Facebook. May 16, 2015. May 16, 2015. Applying Deep Learning Techniques to Classify Videos. In this tutorial, we try to tackle three practical aspects of training deep learning models: using GPUs effectively, handling moderately large datasets, classifying videos. Data: UCF101 - Action Recognition Data Set. Select g2.2xlarge instance type.
Distillation of Deepnets — Startup.ML Conf
https://conf.startup.ml/blog/distillation
ML @ Community Banks. ML @ Community Banks. December 22, 2016. December 22, 2016. December 22, 2016. Training modern deepnets can take an inordinate amount of time even with the best GPU hardware available. Inception-3 on ImageNet 1000 using 8 NVIDIA Tesla K40s takes about 2 weeks (Google Research Blog). Even when a large network is trained successfully, the memory footprint and the prediction latency (due to the number of its parameters) can make it challenging to put it into production. Training a much...
Blog — Startup.ML Conf
https://conf.startup.ml/blog?author=585933f803596e9f55155373
ML @ Community Banks. ML @ Community Banks. December 22, 2016. December 22, 2016. Training modern deepnets can take an inordinate amount of time even with the best GPU hardware available. Inception-3 on ImageNet 1000 using 8 NVIDIA Tesla K40s takes about 2 weeks (Google Research Blog). One way to keep the predictive accuracy of a large network but reduce the number of its parameters, is a training paradigm called "distillation". Self-Supervised AI early access https:/ t.co/o6U7hrzlWw. About a week ago.
Microsoft Boston 4/27/15 — Startup.ML Conf
https://conf.startup.ml/speakers-2
ML @ Community Banks. ML @ Community Banks. Apr 27, 2015 / Microsoft NERD. May 2, 2015. May 2, 2015. Ryan Adams, Harvard and Whetlab. May 2, 2015. May 2, 2015. May 2, 2015. May 2, 2015. May 2, 2015. May 2, 2015. Matei Zaharia, MIT and Databricks. May 2, 2015. May 2, 2015. May 2, 2015. May 2, 2015. May 2, 2015. May 2, 2015. Carl Anderson, Warby Parker. May 2, 2015. May 2, 2015. Carl is the Director of Data Science at Warby Parker. His role encompasses heading up data engineering, supporting over 20 an...
Blog — Startup.ML Conf
https://conf.startup.ml/blog?author=54063051e4b0e522f5e0ae5c
ML @ Community Banks. ML @ Community Banks. August 6, 2016. Deep Learning Approach to Fraud. August 6, 2016. When creating a feature space for adversarial use cases like payment fraud, account takeover fraud and internal fraud, data scientists can rely on domain knowledge, intuition, personal experience and ultimately and if labeled data is available-variable selection. July 4, 2016. Applying ML to InfoSec. July 4, 2016. June 13, 2016. June 13, 2016. One challenge with AML is that it rarely manifests as ...
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Conferences | Events.AI
http://events.ai/conferences
Conferences grouped by region and country. Click below buttons to scroll to list of Conferences in that Region. JAN – MAR. Machine Learning for Production. Hosted by Startup.ML. SAN FRANCISCO, CA. 21 JAN, 2017. Http:/ conf.startup.ml. The Deep Learning Summit. SAN FRANCISCO, CA When. 26-27 JANUARY, 2017. Https:/ www.re-work.co/events/deep-learning-summit-san-francisco-2017. SAN FRANCISCO, CA When. 26-27 JANUARY, 2017. Https:/ www.re-work.co/events/virtual-assistant-summit-san-francisco-2017. AI By The Bay.
Fellows — Startup.ML
https://startup.ml/new-gallery-1/rn6nlqzq03lccpey1jgx1vw6qqmo9n
Alex Chao, Uber ATC. I studied Statistics and Computer Science at the University of California, Berkeley and have had stints doing data mining at Unity Technologies, teaching data science at General Assembly, and doing machine learning and statistics research for the Haas School of Business and the School of Public Health at Berkeley. Rewon Child, Enlitic. Fluent in Japanese and reading proficiency in Mandarin. Marjorie Sayer, CloudGenix. There's value in your data, and I'd love to help you find it.
Fellows — Startup.ML
https://startup.ml/new-gallery-1/wpnatw20l1zxsk7va7r4qz34hf7o04
Alex Chao, Uber ATC. I studied Statistics and Computer Science at the University of California, Berkeley and have had stints doing data mining at Unity Technologies, teaching data science at General Assembly, and doing machine learning and statistics research for the Haas School of Business and the School of Public Health at Berkeley. Rewon Child, Enlitic. Fluent in Japanese and reading proficiency in Mandarin. Marjorie Sayer, CloudGenix. There's value in your data, and I'd love to help you find it.
Challenge — Startup.ML
https://startup.ml/challenge
A little effort goes a long way! We require fellows to work on a small challenge problem to assess problem solving and coding capabilities. Select a problem from the list below. Ideally perform your analysis in a jupyter notebook. Post the notebook on Github and submit your results. Some hints for hacking our challenge:. Ask yourself why would they have selected this problem for the challenge? What are some gotchas in this domain I should know about? What feature engineering might help improve the signal?
Fellows — Startup.ML
https://startup.ml/new-gallery-1/khyis5l039md8anovu5rgu5yw65oq6
Alex Chao, Uber ATC. I studied Statistics and Computer Science at the University of California, Berkeley and have had stints doing data mining at Unity Technologies, teaching data science at General Assembly, and doing machine learning and statistics research for the Haas School of Business and the School of Public Health at Berkeley. Rewon Child, Enlitic. Fluent in Japanese and reading proficiency in Mandarin. Marjorie Sayer, CloudGenix. There's value in your data, and I'd love to help you find it.
Fellows — Startup.ML
https://startup.ml/new-gallery-1/vca7vp5uc39nbo8sgkm06x3l8ag982
Alex Chao, Uber ATC. I studied Statistics and Computer Science at the University of California, Berkeley and have had stints doing data mining at Unity Technologies, teaching data science at General Assembly, and doing machine learning and statistics research for the Haas School of Business and the School of Public Health at Berkeley. Rewon Child, Enlitic. Fluent in Japanese and reading proficiency in Mandarin. Marjorie Sayer, CloudGenix. There's value in your data, and I'd love to help you find it.
Fellows — Startup.ML
https://startup.ml/fellows
Apr 11, 2015. Apr 11, 2015. Alex Chao, Uber ATC. Apr 11, 2015. Apr 11, 2015. Apr 11, 2015. Apr 11, 2015. May 4, 2015. May 4, 2015. Rewon Child, Enlitic. May 4, 2015. May 4, 2015. May 4, 2015. May 4, 2015. Jul 8, 2015. Jul 8, 2015. Marjorie Sayer, CloudGenix. Jul 8, 2015. Jul 8, 2015. Jul 8, 2015. Jul 8, 2015. Mar 8, 2015. Mar 8, 2015. Daniel Saltiel, Engineers Gate. Mar 8, 2015. Mar 8, 2015. Mar 8, 2015. Mar 8, 2015. Jul 16, 2015. Jul 16, 2015. Eric Wayman, Pivotal. Jul 16, 2015. Jul 16, 2015. Nov 1, 2015.
Fellows — Startup.ML
https://startup.ml/new-gallery-1/t4ziigjcjkvtjenw2t4cir64ckl6re
Alex Chao, Uber ATC. I studied Statistics and Computer Science at the University of California, Berkeley and have had stints doing data mining at Unity Technologies, teaching data science at General Assembly, and doing machine learning and statistics research for the Haas School of Business and the School of Public Health at Berkeley. Rewon Child, Enlitic. Fluent in Japanese and reading proficiency in Mandarin. Marjorie Sayer, CloudGenix. There's value in your data, and I'd love to help you find it.
Fellows — Startup.ML
https://startup.ml/new-gallery-1/qztc2z4aojoalxdo2b86qie40kzw4b
Alex Chao, Uber ATC. I studied Statistics and Computer Science at the University of California, Berkeley and have had stints doing data mining at Unity Technologies, teaching data science at General Assembly, and doing machine learning and statistics research for the Haas School of Business and the School of Public Health at Berkeley. Rewon Child, Enlitic. Fluent in Japanese and reading proficiency in Mandarin. Marjorie Sayer, CloudGenix. There's value in your data, and I'd love to help you find it.
Hiring — Startup.ML
https://startup.ml/hiring
Startup.ML fellows have experience solving real-world machine learning problems. Partner with us if you are growing your data science team and want hires that will hit the ground running. I’m really impressed by everything the Startup.ML team is doing - after spending time on-site, we decided to hire one of the fellows for our medical deep learning company. . Mdash; Jeremy Howard, Enlitic. Recruit qualified data scientist and machine learning engineers. About 2 days ago. About 2 weeks ago. Sequence-to-S...
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The 6th Annual Splunk Worldwide Users' Conference: Sept 21-24, 2015
Get Your Data On. Splunk University: September 19-21, 2015 .conf2015: September 21-24, 2015. MGM Grand Las Vegas. A Whole New World of Opportunity Exists in Your Data. Whether you want to improve customer experience and service delivery, enhance IT performance, ship better code faster, provide timely business insights, or reach new levels of security in your organization, .conf2015 has everything you need to help you achieve your goals. Top 5 Reasons to Attend (current). Conf2015 Approval Kit (current).
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Интеллектуальные технологии и методы компьютерной лингвистики в продвижении региона, бизнеса и образования | Конференция
Интеллектуальные технологии и методы компьютерной лингвистики в продвижении региона, бизнеса и образования. Перейти к основному содержимому. Перейти к дополнительному содержимому. Опубликована предварительная программа конференции. В предварительную программу включены доклады, рекомендованные к опубликованию. Открыта и продолжает формироваться. Технические работы на сайте. Статьи и заявки можно отправлять на электронную почту conf@sssu.ru. Приносим извинения за неудобства. Целью конференции является форм...
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27 марта 2015 года. 1075; Саратов, ул. Политехническая, 77. 1057;аратовский государственный технический университет им. Ю.А.Гагарина). 1043;лавная. 1053;овости и объявления. 1058;ематика. 1055;рограмма. 1052;есто проведения. 1059;словия участия. 1055;орядок регистрации. 1080; представления докладов. 1056;егистрация. 1050;онтакты. 1057;писок участников. 1087;о алфавиту. 1057;писок докладов. 1087;о секциям. 1044;ля Оргкомитета. 1055;ОИСК. 1042;есь сайт. 1044;оклады. 1057;ГТУ 2007-2015.
Startup.ML Conf
Putting Deep Learning into Production. EXPERT TALKS HANDS-ON WORKSHOP JAN 21, 2017. Putting Deep Learning into Production. Deep learning models are achieving state-of-the-art results in speech, image/video classification and numerous other areas, but deploying them to production often involves a unique set of challenges including prediction latency, significant training cost, device memory requirements, etc. Ways to speed up training time. Transferring knowledge from a different task. Dec 29, 2016. Nov 1...
Conference 2011
Statistics and Operations Research. In the State of Kuwait. Was established in 1989. As part of the celebration of our 25th anniversary the department is hosting the International Conference:. Challenges in Statistics and Operations Research. During the period March 8-10, 2011. This conference will bring together worldwide prominent specialists in Probability, Statistics and Operations Research.
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Форум компании "Супер-Тур". Ваши отзывы, пожелания и вопросы. • Главная страница
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ПРОГРАМА НА ВТОРA МЕЖДУНАРОДНА КОНФЕРЕНЦИЯ ЗА ХРИСТИЯНСКИ СЛУЖИТЕЛИ, ПРАВОЗАЩИТНИЦИ И ЮРИСТИ 20-22 октомври, 2011 г.Пловдив, България - Конференция Бог и Цезар 2012: Свидетелство или компромис
GOD AND CAESAR 2012: Witness or Compromise. God and Caesar: Witness or Compromise. THIRD INTERNATIONAL CONFERENCE FOR. CHRISTIAN MINISTERS, ADVOCATES. October 18-20, 2012. IN DEFENSE OF THE RIGHT OF CHRISTIANS TO GATHER, WORSHIP AND WITNESS. Note: The organizers may deny registration and participation in the event, at their own discretion, to any person and without any explanations. Jeffrey J. Ventrella. Joel L. Pearce. Esq, an attorney and an advocate for the freedom of the church to worship and witness.
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