Data Elixir - Data Elixir - Issue 411
ISSUE 411 · November 1, 2022InterviewsAndrej Karpathy: Tesla AI, Optimus, Aliens, and AGIAndrej Karpathy is a legendary AI researcher, engineer, and educator. He's the former director of AI at Tesla, a founding member of OpenAI, and an educator at Stanford. This is a fun and accessible interview about Tesla, arXiv, book recommendations, advice for beginners, IDE recommendations, and much more. Scroll down for timestamps. Sponsored LinkDon't Let BI Become Another Data SiloDespite all the promises that BI would make companies data-driven…over 30 years later, it turns out that BI runs the risk of becoming yet another data silo. Hightouch bridges this analytics-to-action gap. In today's world, Data Activation is the way modern data teams empower business users to take action. Download the eBook to learn more. Tutorials, Projects & OpinionsBayesian Structural Timeseries - ForecastingBayesian structural timeseries assumes that the past is a guide to the future. This tutorial shows how to fit and predict auto-regressive models in pymc and then how to adjust them to capture details of trend and seasonality for when they complicate the picture. Using a data dictionary as a roadmap to quality dataA data dictionary is important documentation that's often used to help interpret data at the end of a project. But it can be even more useful if it's created before any data is actually collected. This post explores things to consider, how you should prepare, how to build a data dictionary, and how to use it. Includes examples and links to resources. When should you upgrade to Python 3.11?Python 3.11 is a major new release with lots to like. It's significally faster, has more useful error messages, has grouped exceptions, and there are improvements to the standard libraries. Time to upgrade? Maybe not. Here's what to watch out for in this new release. Invest in your professional goals with Coursera PlusLevel-up your skills with unlimited access to 7,000+ online courses, hands-on projects, and professional certificate programs. Courses cover a wide variety of topics in machine learning, data analytics, python, data engineering, mathematics, investing, entrepreneurship, and many more. One low-cost subscription is all-inclusive. Code & ToolsExplainpaperUpload any paper to Explainpaper and get instant explanations! If you need a more in-depth answer, you can ask follow up questions too. This could be a game changer for keeping up with the constant stream of new papers. Requires free registration. Shinylive ExtensionThe new Shinylive extension enables you to embed interactive Shiny for Python applets into Quarto documents. It runs Python in the browser, so you don't need a special server. CareerNew OpportunitiesThe Data Elixir Job Board currently has 47+ listings for remote positions, including roles for data scientists, data analysts, researchers, data architects, machine learning engineers, and more. The roles cover a variety of job levels, from mid-level to Director. If you're open to new opportunities, join the Data Elixir Talent Collective to get reach-outs from vetted companies. You can join anonymously and leave anytime.
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Data Elixir - Issue 410
Tuesday, October 25, 2022
Data Stack in a Box. Earth System Modeling. Guide to posterior predictions. DS interview book.
Data Elixir - Issue 409
Tuesday, October 18, 2022
Monetizing internal tools. Experimentation platform in a day. Quarto Q/A. Quote extraction w/ NLP. Visualizing spatial data w/ Python.
Data Elixir - Issue 408
Tuesday, October 11, 2022
State of AI 2022. Exploratory causal analysis. Data testing for Python. Chance encounters. RecSys 2022. Building platforms for DS.
Data Elixir - Issue 407
Tuesday, October 4, 2022
ML-powered stock picking engine. K-Means Clustering explainer. How to use text in data viz. Counterfactual forecasting. SQLTutor.
Data Elixir - Issue 406
Tuesday, September 27, 2022
Squishy data. Design principles for data analysis. How to explore large datasets. Anomaly detection at scale.
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