July 2016 Blog Posts (3)

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Going Pro in Data Science

When you're learning data science, you usually practice with nice, clean, pre-packaged data sets and tidy case studies that lead you step-by-step from data collection to cool insights.

But when real life hits, many data scientists have to work with missing or sketchy information extracted from (multiple) sources in the organization. Data science that works is a messy, trial-and-error process of creating and testing hypotheses, gathering evidence, and drawing conclusions.

Going Pro in… Continue

Added by Michael Levin on July 31, 2016 at 2:17pm — No Comments

Call for proposals: The O'Reilly Design Conference

O'Reilly has just opened the call for proposals for their second Design Conference, coming to San Francisco March 19–22, 2017. Got something to share with the design community? Think it over and submit your idea by September 7, 2016.
http://www.oreilly.com/pub/cpc/24650

Added by Michael Levin on July 28, 2016 at 7:55pm — No Comments

Enter for a chance to win!

O'Reilly technology conferences help you change your business—and change the world—by bringing you face-to-face with the knowledge of innovators and practitioners. Discover the right conference for you below and enter to win a Platinum pass!

"The O'Reilly conferences are the gold standard for drawing together a critical mass of thought leaders." —Steve Gillmor, CRN

Link: http://www.oreilly.com/pub/cpc/24305

Added by Michael Levin on July 26, 2016 at 12:39pm — No Comments

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Notes

Welcome to Codetown!

Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
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InfoQ Reading List

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By Otavio Santana

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Uber transitions its in-house search indexing to OpenSearch with a pull-based ingestion framework, improving reliability, backpressure handling, and multi-region consistency for large-scale streaming data while simplifying recovery and supporting global, real-time search experiences.

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In this article, the author argues that infrastructure and compute limitations can drive innovation. It demonstrates how smaller, efficient models, synthetic data generation, and disciplined engineering enable the creation of impactful LLM-based AI systems despite severe resource constraints.

By Olimpiu Pop

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