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startup.ml

Startup.ML

Hands-on training for machine learning engineers. Free Fellowship Focused on Hands-on Experience. Startup.ML fellowship gives aspiring machine learning engineers the chance to hone their skills by building real-world applications. The number one qualification employers look for when hiring an ML engineering candidate is previous experience. Build scalable machine learning models with agile software development methodology. Mentoring by experienced ML researchers. Full-time for 4 months. Of our 30 fellows.

http://www.startup.ml/

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Startup.ML | startup.ml Reviews
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Hands-on training for machine learning engineers. Free Fellowship Focused on Hands-on Experience. Startup.ML fellowship gives aspiring machine learning engineers the chance to hone their skills by building real-world applications. The number one qualification employers look for when hiring an ML engineering candidate is previous experience. Build scalable machine learning models with agile software development methodology. Mentoring by experienced ML researchers. Full-time for 4 months. Of our 30 fellows.
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7 machine learning fellowship
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Startup.ML | startup.ml Reviews

https://startup.ml

Hands-on training for machine learning engineers. Free Fellowship Focused on Hands-on Experience. Startup.ML fellowship gives aspiring machine learning engineers the chance to hone their skills by building real-world applications. The number one qualification employers look for when hiring an ML engineering candidate is previous experience. Build scalable machine learning models with agile software development methodology. Mentoring by experienced ML researchers. Full-time for 4 months. Of our 30 fellows.

SUBDOMAINS

news.startup.ml news.startup.ml

Deep Learning News - Deep Learning News

NIPS 2016 Tutorial: Generative Adversarial Networks. Down, posted by. 9 days ago discuss. BigDL: Distributed Deep learning on Apache Spark. Down, posted by. 12 days ago discuss. How to train your Deep Neural Network. At rishy.github.io. Down, posted by. 6 days ago discuss. Unrolled Generative Adversarial Networks. Down, posted by. 14 days ago discuss. Putting Deep Learning into Production. At conf.startup.ml. Down, posted by. 15 days ago discuss. Deep Learning for Coders- 18 hours of lessons for free.

conf.startup.ml conf.startup.ml

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...

INTERNAL PAGES

startup.ml startup.ml
1

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.

2

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...

3

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.

4

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.

5

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?

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yet-another-data-blog.blogspot.com yet-another-data-blog.blogspot.com

Yet Another Data Blog: Choosing a Data Science Bootcamp program? - questions to ask, things to look for and look out for

http://yet-another-data-blog.blogspot.com/2015/05/choosing-data-science-bootcamp-program.html

Yet Another Data Blog. Thoughts on Collective Intelligence, Data Wrangling, Data Science, Predictive Modeling,Start-ups and a repository for ideas and things I hope not to forget. Friday, May 15, 2015. Choosing a Data Science Bootcamp program? Questions to ask, things to look for and look out for. The list below may not be encompassing as each prospective Data Science bootcamp student is unique in their own way and what they hope to get out of the experience. Without further ado. here we go. At most boot...

adversarial.ai adversarial.ai

Fellowship — Platform.AI

https://adversarial.ai/fellowship

Adversarial.AI is one of the first products launched from the Startup.ML. We run a four month, hands on fellowship program that specializes in finance applications and helping startups incorporate machine learning into their products. The program is 100% applied and fellows work under the supervision of an experienced mentor team. Fellows stem from math, computer science and other quantitative fields. Approximately half of our fellows have a PhD in their field. Quant researcher @ DhruvMadeka. 100-rc0 is ...

thomaswdinsmore.com thomaswdinsmore.com

Big Analytics Roundup (July 6, 2015) | The Big Analytics Blog

https://thomaswdinsmore.com/2015/07/06/big-analytics-roundup-july-6-2015

The Big Analytics Blog. News and Analysis on High-Performance Analytics. July 6, 2015 —. Thomas W. Dinsmore. Big Analytics Roundup (July 6, 2015). If you’re wondering about the picture, it’s a 1958 Edsel Roundup. In an O’Reilly video, mad scientist Paco Nathan introduces. Advanced math for business people. The team at startup.ml. Called Deep Learning News, which aggregates blog posts, articles and other related content. VentureBeat writes. 100 Big Data architecture papers. How to do them fast with Python.

yet-another-data-blog.blogspot.com yet-another-data-blog.blogspot.com

Yet Another Data Blog: Data Science Bootcamp Programs - Full TIme, Part Time and Online

http://yet-another-data-blog.blogspot.com/2014/04/data-science-bootcamp-landscape-full.html

Yet Another Data Blog. Thoughts on Collective Intelligence, Data Wrangling, Data Science, Predictive Modeling,Start-ups and a repository for ideas and things I hope not to forget. Saturday, April 5, 2014. Data Science Bootcamp Programs - Full TIme, Part Time and Online. Everyone seems to reference the quote from Google Economist Hal Varian "Being a statistician is the sexiest job of the 21st century" and the McKinsey report. About the shortage in Data Science talent. The article should be helpful. I hear...

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Hands-on training for machine learning engineers. Free Fellowship Focused on Hands-on Experience. Startup.ML fellowship gives aspiring machine learning engineers the chance to hone their skills by building real-world applications. The number one qualification employers look for when hiring an ML engineering candidate is previous experience. Build scalable machine learning models with agile software development methodology. Mentoring by experienced ML researchers. Full-time for 4 months. Of our 30 fellows.

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