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Philips Kokoh Prasetyo
Lives in singapore
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Philips Kokoh Prasetyo

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Added iPhone new device setup for a comparison.
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Announcing Wide & Deep Learning in #TensorFlow  - useful for generic large-scale regression and classification problems with sparse inputs, such as recommender systems, search, and ranking problems. Our Wide & Deep Learning implementation is open-sourced as part of the TF.Learn API so that you can easily train a model yourself. Please check out the Google Research blog, linked below, to learn more!
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From #elasticsearch 2.x to 5.0: moving away from filtered queries; and, or, not queries. #bool query replaces those functionalities. 
Some query types deprecated in 2.x will be removed in 5.0. Many of them are replaced by functionality of the bool query, so here’s a quick guide on bool query.
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For your deep learning pleasure haha
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The Good, Bad, & Ugly of #TensorFlow: 6 months rapid evolution + tips/hacks #DeepLearning indico
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Guide on Scaling #Elasticsearch
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Philips Kokoh Prasetyo

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#Elasticsearch 5.0.0 Alpha4 released! 
We have something to cheer you up. Say hello to Elastic Stack 5.0 alpha 4. Keep in mind that this is an Alpha release. So, please don’t put it into production.
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The Google NLU Team develops innovative techniques & algorithms in Natural Language Understanding, focusing on improving Google services and user experiences. Learn more about the people on the team, their projects and publications on the new webpage, linked below
About our work. Our team comprises multiple research groups working on a range of Natural Language Understanding (NLU) projects. We collaborate closely with teams across Google, leveraging efficient algorithms, neural networks, and graphical and probabilistic models to help guide product ...
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In Elasticsearch 5.0 the percolator is much more flexible and has many improvements. For example, to be able to skip evaluating most queries.
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Learn why what you eat plays such a big role in a productive workday
Food science is as important to your workday as your calendar feed. Learn what to eat and what to avoid to keep you running at an optimal speed throughout the entire day.
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Here is a talk I gave at Stanford last week on the things I wish I could have gotten into my TED talk but didn't have space for.

https://www.youtube.com/watch?v=wtCBCa7DiHo
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Have them in circles
1,517 people
Rima Tanago's profile photo
Christian Marco's profile photo
Taojian Lu's profile photo
dennydevan palangkaraya's profile photo
Carolina Dewi Santoso's profile photo
hamza mahjoub's profile photo
David Iwan Tulus's profile photo
Richard Albritton's profile photo
Iim Minarni's profile photo
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data mining mania, likes machine learning and natural language processing
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singapore
Previously
taipei, taiwan - surabaya - tainan, taiwan