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A few weeks ago, one of my favorite webcomics, Math with Bad Drawings , posted a comic in response to his other post, “ Why Baseball Statistics Matter”. I really enjoyed Ben Orlin’s explanation because it combines my passion for both baseball and data science. Further, it really resonates with the challenges I’ve seen many companies face as they work to incorporate data science throughout their businesses, as well as the experiences I have had working with various sports teams as they begin usin
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Find out how the early architectural decisions surrounding the Teradata Database are still making a critical contribution to performance today. Read more!
Click to view a larger version in a new window. When I recently published the latest edition of The Data & Analytics Dictionary , I included an entry on Charts which briefly covered a number of the most frequently used ones. Given that entries in the Dictionary are relatively brief [1] and that its layout allows little room for illustrations, I decided to write an expanded version as an article.
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Overview Facing issues trying to install Python on your Linux, Mac or Windows machine? This article is for you! Step-by-step walkthrough on how to. The post Everything You Ever Wanted to Know About Setting up Python on Windows, Linux and Mac appeared first on Analytics Vidhya.
Overview Facing issues trying to install Python on your Linux, Mac or Windows machine? This article is for you! Step-by-step walkthrough on how to. The post Everything You Ever Wanted to Know About Setting up Python on Windows, Linux and Mac appeared first on Analytics Vidhya.
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The O’Reilly Data Show Podcast: Alex Ratner on how to build and manage training data with Snorkel. In this episode of the Data Show , I speak with Alex Ratner , project lead for Stanford’s Snorkel open source project; Ratner also recently garnered a faculty position at the University of Washington and is currently working on a company supporting and extending the Snorkel project.
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Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
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