LangChain Community Events Really excited to announce a series of IRL community events (with some virtual components as well) Schedule: 2/9: LangChain Kickoff @ SF
2/23: LangChain NYC Meetup + demos
3/15: LangChain SF Meetup + demos See for details!
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LangChain Community Events Series Announced for 2026
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LangChain Kickoff Event in San Francisco
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LangChain Kickoff Thursday, February 9 @ JAX Vineyards in SF Hosted by @benchmark and @milesgrimshaw RSVP here: http://
bit.ly/langchainkicko
ff
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Google’s Bite-Sized Machine Learning Recipes: Perfect Learning Series
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10. Finally, a great way to start getting familiar with machine learning is the bite-sized recipes published by Google. This series is worth every minute. Playlist:
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TensorFlow 2.0: Massive 7-Hour Tutorial for Deep Learning
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9. TensorFlow is the most popular deep learning library that's currently used in the industry. Here is a massive 7-hour tutorial of TensorFlow 2.0 produced by @freeCodeCamp
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Scikit-Learn: Popular Machine Learning Library Tutorial
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8. Scikit-Learn is one of the most popular machine learning libraries out there. @simplilearn
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Neural Networks Explained: Best Video Resources and Learning
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7. It's hard to talk about machine learning without touching on neural networks. Probably the best video out there that explains how neural networks work is @3blue1brown
's: https://
youtube.com/watch?v=aircAr
uvnKk
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Learning Decision Trees: Building from Scratch Guide
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6. One of the most basic algorithms that you can learn is Decision Trees. Watch @random_forests
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Data Visualization Essential for Machine Learning Practitioners
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3. Data visualization is key for anyone practicing machine learning. Check out @blondiebytes
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GPT Plugin for Google Sheets and Docs Installation Guide
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Install the plugin from here to use it in your browser https://
workspace.google.com/u/0/marketplac
e/app/gpt_for_sheets_and_docs/677318054654
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Terminology Lists for NER and Information Extraction Tasks
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Collecting terminology lists is a very useful step for most NER or information extraction tasks. It lets you annotate more quickly and consistently. It also helps you compute useful baselines, by evaluating how a rule-based approach would perform on the task.