 ISSUE 452 · September 12, 2023InsightGenerative AI and intellectual propertyIf you put all the world’s knowledge into an AI model and use it to make something new, who owns that and who gets paid? This is a completely new problem that we’ve been arguing about for 500 years. Interview with Sam Altman, CEO of OpenAIGreat podcast interview with Sam Altman about AI, how quickly it's evolving, interesting applications, and ultimately, his perspectives on how AI will impact the world going forward. Posts & TutorialsA Gentle Introduction to GDAL - Part 5: Shaded ReliefAwesome post on using the open-source Geospatial Data Abstraction Library (GDAL) for visualizing elevation data. This post is the continuation of a series that started in 2017. If you're interested in geospatial data, all of these tutorials are detailed and clear, with lots of useful links along the way:
Robert Simmon Using random forest based outlier detection to clean a training datasetNice tutorial that considers several outlier detection and removal approaches while cleaning a training dataset from a Kaggle competition. An introduction to Python for R UsersGreat post for R users that want to use Python for data analysis. It covers a variety of topics, including key libraries, Jupyter notebooks, working with pandas data frames, function chaining, and visualization. How do we spend our time?Super interesting (and effective!) approach for visualizing the daily activities of people around the world. If you like this approach, also see the voronoiTreemap package >> Why AI Is the Mother of All UnicornsDive into Bill Gates’ prophecies, the rise of giants, and why AI is not just another hype. This post takes a look at who is positioned to win the biggest slice of the pie and where the most value will be generated. Tools & CodeOpen InterpreterOpen Interpreter is an open-source, local implementation of OpenAI's Code Interpreter. In other words, Open Interpreter can run code and give you a local, LLM interface to your computer's software and files. It was announced just a week ago and it already has over 18,000 stars! Career4 Skills the Next Generation of Data Scientists Needs to DevelopAs data and analytics continue to expand across industries, it makes sense that the next generation of data leaders will have bigger roles that will impact strategy, decision-making, and operations. In this post, Joel Shapiro explores four key skills that data people need to develop. Privacy & SecurityWhat Data Does My Car Collect About Me and Where Does It Go?In a new series of articles, Mozilla concludes that cars have become "a privacy nightmare." Modern cars are, essentially, computers on wheels with sensors, cameras, microphones, GPS receivers, connections to our phones, and on and on. This article explores what all that data is, exactly, how it's handled, and where it goes. Was this email forwarded to you? Sign up here >>
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вторник, 12 сентября 2023 г.
Data Elixir - Issue 452
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