Data Elixir
Data Elixir
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Data Elixir - Issue 321
Data Elixir
by
3y ago
Notes Data Elixir Advanced Article and Topic Search Data Elixir has a new search page! That may not sound interesting but there's a lot more to it than an input box for keywords. Using the Polymer Search Insights platform, the latest 6 months of Data Elixir issues have been catalogued, tagged, and cross-referenced to make it interesting to browse and easy to find something specific. Check it out and reply back to this email if you have suggestions. More to come! dataelixir.com Insight The Hard Lessons of Modeling the Pandemic It's been a hard year for COVID-19 modelers. The public seems to thi ..read more
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Data Elixir - Issue 320
Data Elixir
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3y ago
Insight "Very few techies are trying to do the big hard things." Many of the large tech companies have started "AI for Good" programs and claim they want to help solve big problems like climate change, sustainability, and social issues. Are they for real? And if so, what challenges do they face besides who's actually going to do the work? marcwinkelmann.de Seven Legal Questions for Data Scientists From privacy and algorithmic bias to security and third-party dependencies, there are a lot of ways that data can get you in trouble. Thinking through the questions discussed in this article will hel ..read more
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Data Elixir - Issue 319
Data Elixir
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3y ago
In the News Julia Adoption Keeps Climbing; Python Challenger? Julia is hot. In the last three years, the number of active users has more than doubled and in 2020, the number of available packages rose to ~4800. In this article, John Russell explores Julia's rapid rise and how it compares to other languages. Includes useful links throughout. hpcwire.com Sponsored Link Advance your career with a degree for future leaders Consider Minerva’s Master of Science in Decision Analysis for a unique, online experience designed for working professionals. Regardless of your industry, Minerva can help you d ..read more
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Data Elixir - Issue 318
Data Elixir
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3y ago
In the News Google Research: Looking Back at 2020, and Forward to 2021 Google has a massive impact on the tools, applications and research that help steer the data science community. As with prior years, this retrospective by Jeff Dean is amazing in its scope. Includes useful summaries, screenshots, videos and linked references throughout. googleblog.com He Created the Web. Now He’s Out to Remake the Digital World. When Tim Berners-Lee helped create the World Wide Web, there was no way to know how far it would go. Now, three decades later, the big tech companies control vast troves of data and ..read more
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Data Elixir - Issue 317
Data Elixir
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3y ago
In the News Medicine's Machine Learning Problem Data science offers the potential to fundamentally alter medicine but despite the promise, biased datasets and unaccountable algorithms threaten to further disempower patients. bostonreview.net Inside India’s booming dark data economy In India, the black market for data resembles markets for wholesale vegetables and smuggled goods. Customers are encouraged to buy in bulk, and the variety of what’s available is mind-boggling. restofworld.org Sponsored Link 2021: The year you make ML (and your job) easier Make it easy to get your ML projects from e ..read more
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Data Elixir - Issue 316
Data Elixir
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3y ago
Phew. 2020 is almost over! I've never been so excited for a year to end. To celebrate and reflect on new directions for 2021, Data Elixir will be taking the next 2 weeks off. I hope you and all your families have a great holiday season! Cheers, Lon Insight You Can’t Escape Hyperparameters and Latent Variables: ML as a Software Engineering Enterprise Great "keynote" from NeurIPS 2020 about the past, present and future of ML research — especially as it pertains to algorithmic bias. It's 45 minutes but don't let that deter you. This is a well-paced presentation that's full of insightful conversat ..read more
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Data Elixir - Issue 315
Data Elixir
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3y ago
Insight Most important statistical ideas of the past 50 years? This new paper explores eight major statistical ideas of the past 50 years, including overviews and discussion of what they each have in common, how they differ and what to expect over the next few decades. arxiv.org Sponsored Link Join the data science community at SIAM - new journal, book series, conference, and activity group! Society for Industrial and Applied Mathematics (SIAM) has launched a collection of new data science resources! The most recent additions are the SIAM Activity Group on Data Science (a place to network and ..read more
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Data Elixir - Issue 314
Data Elixir
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3y ago
In the News "It will change everything" DeepMind is now far beyond games like Chess and Go. In its latest breakthrough, AlphaFold has been recognized as a solution to one of biology's grand challenges — the “protein folding problem.” Here's a great overview of the accomplishment and why it's such a big deal. nature.com Sponsored Link Find Your Next Job Through Vettery Connect with hiring managers from actively hiring startups and Fortune 500 companies that are using Vettery to grow their tech teams. Create a profile today to get interview requests as early as next week. Oh, and did we mention ..read more
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Data Elixir - Issue 313
Data Elixir
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3y ago
In the News What Is the Best Strategy to Deploy a Vaccine? COVID-19 is especially lethal for older adults and those with other health problems. Young adults are more likely to recover but tend to be big spreaders of the disease. That creates two conflicting priorities for the mathematicians. Should they prevent deaths or slow transmission? undark.org Tools and Techniques Dynamic Data Testing Data is rarely static and for the most part, your tests shouldn't be either. This is a super useful post that explores the issues and introduces a framework for deciding how to test – from static tests tha ..read more
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