Data Elixir - Data Elixir - Issue 360
ISSUE 360 · November 2, 2021TrendsThe Next Big Challenge for Data is OrganizationalThese days, we have the tools to build the data world we want to live in but "you can't out-tool poor organization." Here's why the next big challenge for data is organizational, not technical. Data and the almighty dollarFor most organizations, data stacks aren't cheap and making changes in one tool can set off a cascading set of confusing and interconnected charges elsewhere in the stack. For sure, that creates issues. And for some, there are burgeoning opportunities here. Sponsored LinkScience For People Who Give A ShitClimate change and COVID are just two of the major issues affecting everyone, whether you’re an engineer, a scientist, founder, journalist, or a policymaker. Get up to speed on the latest science news, analysis, and Action Steps you can take to protect your business and drive transformational change every week. Sign up here for free. Tutorials, Projects & OpinionsOpen-Sourcing a Monitoring GUI for MetaflowMetaflow is an open-source framework that's designed to help data scientists build and manage their own end-to-end workflows. This announcement introduces the long-awaited GUI, which enables real-time monitoring and adds support for community plugins. This is a nice overview of the project and what it does. How to use PyTorch LSTMs for time series regressionMost introductions to LSTM models use natural language processing as the motivating application, but LSTMs can be a good option for multivariable time series regression and classification, as well. Here's how to structure the data and model to make it work. A Behind-the-Scenes Look at How Postman’s Data Team WorksIn just six years, Postman has gone from a small side project to a unicorn with a 5 billion dollar valuation. In this inside look, Prukalpa walks through how the data team is organized and how responsibilities evolved during a year of rapid growth. Survival Analysis in PythonThis tutorial introduces survival analysis using simple examples. There are two interactive notebooks here. The first walks through four ways to represent a distribution and the second shows how to use Kaplan-Meier estimation. This is well done and easy to follow. Getting Strategic Value from Data Analytics When Initial Attempts FailGet your copy of this free Harvard Business Review report to learn about the state of data analytics, the obstacles preventing its progress, and how organizations can produce more value. Get the report. CareerHow to Leverage a Data Science Background as a Product Manager (PM)Product management is a super hot — and competitive — career path in tech these days. Here's how the role is different for people who have a background in data science and how that gives you a unique edge for PM roles. Data VisualizationVisualization Analysis & DesignThis series of 18 short videos are from Tamara Munzner's recent workshop on Visualization Analysis and Design at the VIZ 2021 conference. Tamara is the author of the popular book by the same name, where she breaks down the what, why and how of data visualization. Getting Started with SparklinesInteractive sparklines! This tutorial uses lots of examples to show how they're useful and how to make them with the reactablefmtr R package. To find specific content from prior issues or to research topics, check out the searchable Archives on Data Elixir's Search Page >> |
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Data Elixir - Issue 359
Tuesday, October 26, 2021
Future of operational analytics. Interpreting A/B tests. GBT for spatial data. Data Viz superpowers. Intro to probability for DS.
Data Elixir - Issue 358
Tuesday, October 19, 2021
Intro to wavelets. Breathing K-Means. Neural nets from scratch. What to learn. Generative art w/ R.
Data Elixir - Issue 357
Tuesday, October 12, 2021
State of AI 2021. False positives. Bayesian optimization. Covid data glitches. Kernel algorithms. KPIs for ML classifiers.
Data Elixir - Issue 356
Tuesday, October 5, 2021
The 2021 Data Landscape. Art of linear algebra. Human regression ensemble. SQLite Playground. Bullshit visualization. Intro to deep learning.
Data Elixir - Issue 355
Tuesday, September 28, 2021
Top places to work. Start w/o ML. Beyond bar charts. Diminishing returns.
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