Data Elixir - Data Elixir - Issue 454
ISSUE 454 · September 26, 2023Talks & ConferencesA Hackers' Guide to Language ModelsGreat, code-first approach to understanding how to use language models in practice. Covers foundational concepts, limitations and capabilities, practical uses of language models in code writing and data analysis, fine tuning, testing, and more. There's a lot here but it's easy to jump around using the linked outline in the notes. Sponsored LinkAlexa unveils new speech recognition, text-to-speech technologiesAmazon's new speech technologies will make conversations with Alexa more natural. Those technologies include a multibillion-parameter speech recognizer and a text-to-speech model built atop a fine-tuned large language model. Posts & TutorialsInside the MatrixThis post introduces a new tool, called 'mm', for visualizing matrix operations. It runs in a browser and helps build intuition about matrix multiplication expressions, attention heads with real weights, and more. This is an awesome introduction, including short demo videos and links to live interactives that make it easy to understand matrix operations. AB Testing 101Great introduction to AB testing from deep in the trenches. Jonathan Fulton has been involved with testing in roles as an engineer, as an architect at ID.me, and is currently with the AB testing platform, Eppo. This is a practical, in-depth guide that's subtitled, "What I wish I knew about AB testing when I started my career." Upsert in SQLUpsert is an operation that inserts new records into a database and updates existing ones. This post shows how to do SQL upserts in all major databases, with tips, issues, and alternatives along the way. Includes interactive examples within the post so you can try things out while reading. Applied Data Science with PythonIn this intermediate level course from Coursera, learn how to conduct statistical analysis, critique data visualization, apply machine learning, analyze social network connectivity, and much more. Enroll for free. Tools & CodePerspectivePerspective is an interactive analytics and data visualization component that's especially well-suited for large and/or streaming datasets. Use it to create user-configurable reports, dashboards, notebooks and applications, then deploy stand-alone in the browser, or in concert with Python and/or JupyterLab. HarlequinHarlequin is a new open-source drop-in replacement for the DuckDB CLI. It offers features you'd expect from an IDE, running right in your terminal. Runs anywhere: any shell, any terminal, any machine. MagenticThis new Python package lets you easily integrate LLMs into your Python code. Simply use the @prompt decorator to create functions that return structured output from the LLM. Mix LLM queries and function calling with regular Python code to create complex logic. ResourcesSoftware Design by Example (Python edition)The best way to learn design in any field is to study examples. In this tool-based introduction to software design, Greg Wilson, co-founder of Software Carpentry, shows how to build small versions of common tools to show how experienced software designers think. This is a great book that combines theory, pragmatism and best practices. Free to read. Was this email forwarded to you? Sign up here >> |
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Data Elixir - Issue 453
Tuesday, September 19, 2023
SQL join flavors. Data pipeline powertools. Dirichlet distributions. AI's jagged frontier. Little climate pictures. CDO success.
Data Elixir - Issue 452
Tuesday, September 12, 2023
Gentle intro to GDAL. Outlier detection and removal. Intro to Python for R users. Skills for data's next generation.
Data Elixir - Issue 451
Tuesday, September 5, 2023
7 levels of Postgres. Upcoming ML conferences. Database of Databases. Legalities of web scraping. Box plot alternatives.
Data Elixir - Issue 450
Tuesday, August 29, 2023
CSV: big, bad and ugly. Reproducibility with Jupyter. Geographic DS with Python. Natural language SQL engine. DS w/ sign language data.
Data Elixir - Issue 449
Tuesday, August 22, 2023
Analysis of the data job market. LLM open challenges. Data viz with LLMs. Is probability frequentist or Bayesian? Opening career doors.
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