Data Elixir - Data Elixir - Issue 408
ISSUE 408 · October 11, 2022TrendsState of AI Report 2022This slide deck is one of the most comprehensive resources you'll find about the current state of AI. Explores a variety of topics including research, commercial applications, politics, safety, and predictions for the coming year. It's dense but it's a very visual deck and easy to follow. Discovering novel algorithms with AlphaTensorIn a paper published in Nature, DeepMind researchers introduced an AI system that discovered a faster way to do matrix multiplication. It's a big deal - not just because matrix multiplication is crucial to data and engineering work - but because the system, called "AlphaTensor," is designed to optimize arbitrary objectives. Here's how it works. Sponsored LinkIBM & Meta Keynote the TechCrunch x iMerit ML DataOps 2022More speakers, more knowledge that you won't want to miss! Join keynote speakers Seth Dobrin, IBM’s former Chief AI Officer as he discusses responsible AI & Manohar Paluri, Meta’s Director of FAIR as he dives into the value of AI that leverages human intelligence. Tutorials, Projects & OpinionsBringing more causality to analyticsIn his latest post, Sean J. Taylor introduces a new analytics product he's helping design that's intended to do what he calls "exploratory causal analysis.” The idea is to enable analysts to quickly discover and stress-test potential causal relationships in their data. This post explores why and how that could be useful. RecSys 2022 - Recap, Favorite Papers, and LessonsRecSys is an annual ACM conference for recommender systems research. In this selection of papers from the recent RecSys 2022, Eugene Yan summarizes each paper, pulls out key points and questions, adds diagrams and includes links for further reading. Useful post! What I learned building platforms at Stitch FixA lot of roles include at least some "software development" but engineering something you can build on top of isn't straightforward, especially as your needs grow. This is an insightful post with key lessons-learned from building platforms for a team of data scientists. How fateful?Great tutorial that starts with data from Google Map's location history and then reverse-engineers "almost-met" encounters. How many times did you literally walk past someone before finally meeting? There's code here, visualizations, and a sweet story to drive it. CareerStorytellers and System BuildersThere are a lot of job titles for data roles these days. Are you a Data Scientist? Data Analyst? ML Researcher? ML Engineer? BI Analyst? Analytics Engineer? Data Visualization Designer? Hang on. Here's a new way to think about data roles. Are you a storyteller or systems builder? JOIN the Data Elixir Talent Collective and get matched with opportunities that fit your specific interests. This is a reverse job board where top companies apply to you. It's a free service for professionals with 3+ years of relevant experience. JOIN today 👉Code & ToolsPandera - data testing library for PythonPandera is an open source framework for data testing, built for data scientists and machine learning engineers. It provides a simple, zero-configuration Python library to help you write complex schemas and validate critical points of your pipeline in production. Panel - app and dashboarding solution for PythonPanel is an open-source Python library that makes it easy to create interactive web apps and dashboards by connecting user-defined widgets to plots, images, tables, or text. Works with visualizations from Altair, Bokeh, HoloViews, Matplotlib, Plotly, pydeck, PyVista and more. Was this email forwarded to you? Sign up here >> |
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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.
Data Elixir - Issue 405
Tuesday, September 20, 2022
A Sequel to SQL? Linear regression visual explainer. Correlated features and ML models. Is a data leader role right for you?
Data Elixir - Issue 404
Tuesday, September 13, 2022
On being a Data Lead. Data 'creation' vs. 'extraction.' Categorizing ML interpretability approaches. Mapping wind data.
Data Elixir - Issue 403
Tuesday, September 6, 2022
Semantic layers: a deep dive. Communicating A/B test results. Using an attribution framework. Bayesian age-period-cohort models in Python.
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