— In the News —
Conversations with hundreds of business leaders reveal nine ways that they are - and are not - adapting to the analytics revolution.
In this excerpt from the new book, The Mathematical Corporation, Josh Sullivan and Angela Zutavern explore the ethical conflicts that arise when companies collect and parse personal data. "...In most organizations ethical choices relate to a small number of age-old wrongs, typically forms of lying, deceiving, stealing, or harming. So when does each of these come into play in your organization?..."
Integrating artificial intelligence into an organization that was founded in 1892 may not be easy, but it may be GE’s best shot at staying relevant. Here's how GE is creating an army of AI researchers by training from within.
— Tools and Techniques —
visidata is a console spreadsheet tool for discovering and arranging tabular data. Usable via any remote shell that has Python3 installed. For detailed usage info, check out the user guide.
Great slide deck by Jake VanderPlas that covers "Everything you need to get started in data science using Python." Starts with a history of Python and continues with an overview of the essential tools and libraries for data science.
TimescaleDB is a new open-source database for time series data that looks and feels like Postgres but is optimized for fast ingest and complex queries. This post shows how to work with TimescaleDB through an exploration of the cryptocurrency market. Includes code.
Real-world data is almost always incomplete or inaccurate in some way. This means that the uncertain conclusions we draw from it are only meaningful if we can answer the question: how uncertain? This post develops a simple method for answering that question without using libraries. It's not the fastest approach but it's easy to understand.
— Deep Learning —
Simple and ready-to-use tutorials for TensorFlow.
— Data Viz —
Fantastic walk-through that describes how the team at Periscopic developed a new visualization project. This is easy to follow and is organized as a step by step tutorial. Besides the details, what's great about this is the inclusion of the thinking process along the way and the intermediate designs that were eventually thrown out. Iteration is key.
— Career —
Lots of useful insights in this Quora thread.
— About —
Data Elixir is curated and maintained by @lonriesberg. If some awesome person forwarded this issue to you, subscribe for free at dataelixir.com and get it delivered every week.