Data Elixir - Data Elixir - Issue 382
ISSUE 382 · April 12, 2022TrendsAI could help college baseball players reach the majors, but...Between wearables, apps, and captured video, there's a lot of data being collected on baseball players. Even video captured on a mobile phone can be used to analyze 2,000-plus types of data including velocities, accelerations and joint positions! The capabilities are impressive but in a world that's increasingly watching us all, the tech is rife with concerns. The Data Team’s Guide for Marketing MetricsMarketing leaders rely on data to meet their quarterly targets. Data teams can use this starter guide to better understand which metrics can accelerate marketing goals and increase ROI. Download Mode’s guide and put it into play with a 14-day Mode trial. Tutorials, Projects & OpinionsReal World Recommendation SystemNice introduction to how recommendation systems work at scale. For more, there's a good discussion about this post on Hacker News >> Uncommon advice on becoming a data scientist in the public interestGood advice here for those aspiring to work with data in the public sector. Especially when you're starting out, understanding a domain is more important than developing some idolized set of technical skills. Proxycurl API - Scrape LinkedIn profiles in real-timeThousands of data scientists use Proxycurl API to fetch fresh LinkedIn Profiles to keep their data model up to date. New data teams purchase LinkDB, our database of 600M LinkedIn profiles to bootstrap their AI models. Try Proxycurl API for free today. ResourcesReproducible and Trustworthy Workflows for Data ScienceThese notes for a new course at the University of British Columbia are comprehensive and well-organized. Covers a wide range of topics in reproducible and trustworthy workflows including things like version control, virtual environments, managing dependencies, code testing, creating reproducible reports, continuous integration, and much more. 🐙 ML NotebooksGreat series of notebooks that introduces a variety of machine learning tasks and applications. The notebooks are minimal and intended to be easily reusable and extendable. This is an evolving project and there's more to come. Code & ToolsQuartoQuarto is a new open-source publishing system that lets you create dynamic scientific and technical content using Python, R, Julia, and Observable. You can also author documents as plain text markdown or as Jupyter notebooks and then publish in HTML, PDF, Word, ePub, and lots more. There's great documentation and a gallery of examples here. PyGODPyGOD is a Python library for graph-based outlier detection algorithms. The package is easy to use and includes a variety of current algorithms. OutlierDALL·E 2DALL·E 2 is a new AI system that can create realistic images and art from a description in natural language. The results are super impressive and images have been bouncing around the Internet like wildfire. This page on OpenAI's site includes lots of examples, a short intro video, a link to the research paper and much more. 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 381
Tuesday, April 5, 2022
Causal inference: core methods & tools. How to read papers. Data strategies with regular people. Preferences in recommenders.
Data Elixir - Issue 380
Tuesday, March 29, 2022
Emerging data architectures. 200K+ Salaries. Advanced EDA w/ Python. Precision & Recall. ML-based causal inference.
Data Elixir - Issue 379
Tuesday, March 22, 2022
Hard SQL interview questions. Imbalance detection. Real-world Prophet. Effective data teams. DS project quick-start. AI trends.
Data Elixir - Issue 378
Tuesday, March 15, 2022
Open salaries. Foundations of causal inference. Data Apps. Data labelling. Jupyter everywhere.
Data Elixir - Issue 377
Tuesday, March 8, 2022
Embrace complexity. ML for design. People analytics. MLOps is a mess. Algorithms for Decision Making. The evolving AI startup.
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