Shorten blog post descriptions to concise summaries

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Author: acompa

src/src/content/blog/beyond-trending-topics.md

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 title: "Beyond Trending Topics: identifying important conversations in communities"
-description: "Last summer, while at Betaworks, Rohit Jain and I co-wrote a blog post on detecting trending topics. Here's a blurb: Scale Model, one of the newest companies to launch out of betaworks, helps identify, follow and reach communities on Twitter. While there’s a great visual dashboard that gives us …"
+description: "Detecting unusual spikes in Twitter community activity using time series decomposition, built at Betaworks with Rohit Jain."
 pubDate: 2015-09-01
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src/src/content/blog/git-for-ds-at-iheart.md

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 title: "Git for data science at iHeartRadio"
-description: "Last year, I walked iHeartRadio's Data Science team through the theory and practice of git. Version control falls into the category of practical stuff you learn after finishing grad school."
+description: "Teaching git fundamentals to iHeartRadio's algorithms team to scale collaboration beyond single-owner folders."
 pubDate: 2017-04-17
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src/src/content/blog/installing-r-and-rpy2-from-scratch.md

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 title: "Installing R and rpy2 from scratch"
-description: "Python has seen a bit of an explosion in packages for statistics, machine learning, and data structures to support the two. Between pandas, statsmodels, scikit-learn, and scipy.stats Python developers now have a miniature data stack for econometrics, machine learning algorithms, or statistics, as well as sensible data structures with …"
+description: "A step-by-step guide to installing R and rpy2 on a bare EC2 instance for Python developers who need R's statistical packages."
 pubDate: 2012-09-07
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src/src/content/blog/large-scale-data-airbnb.md

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 title: "Large-scale data-driven initiatives at Airbnb"
-description: "Any conversation about data work at Airbnb should probably start with Airflow. Since its open-sourcing back in 2015, this data pipeline framework has been adopted by almost 200 companies, including my former employers at iHeartRadio and my current employers at Devoted Health. slaps roof of framework This bad boy fits …"
+description: "How Airbnb scaled its data infrastructure with Airflow, Zipline, and other frameworks for ML at hundreds-of-models scale."
 pubDate: 2019-05-22
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src/src/content/blog/mle-job-hunt-2024.md

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 title: "On job-hunting in 2024 as a machine learning engineer"
-description: "One Sunday in early December, I celebrated my birthday by slicing into some chocolate cake from a local bakery. A few hours later, my inbox contained a lovely birthday surprise: a calendar invite to discuss my layoff from Spotify. Yay! For those who don't know me: I am a machine …"
+description: "Lessons from 39 job conversations after a layoff from Spotify, and what the market looks like for ML engineers in 2024."
 pubDate: 2024-03-02
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src/src/content/blog/on-regularization.md

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 title: "Introductory notes on regularization"
-description: "A couple of different channels converged on discussions of regularization recently: Julia Evans recently wrote about the bias-variance trade-off -- go read her post, it's great! -- and asked some questions about regularization in it; one of my coworkers -- and I'm paraphrasing here, Ravi -- called LASSO one of the most important statistical …"
+description: "A primer on L1, L2, and ElasticNet regularization and why they help models generalize."
 pubDate: 2016-01-23
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src/src/content/blog/presenting-leptoid-at-surge-2012.md

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 title: "Presenting leptoid at Surge 2012"
-description: "I spent my summer at Knewton working on an autoscaling project. I learned a lot along the way about capacity planning, queuing theory, code instrumentation, and server management and deployment, and I recently presented about what I learned at Surge Conference 2012. The talk focused on instrumentation more than anything …"
+description: "Presenting an autoscaling project at Surge 2012 and learning that good instrumentation matters more than a good forecasting model."
 pubDate: 2012-10-05
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src/src/content/blog/recsys-2018.md

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 title: "A survey of ACM RecSys 2018"
-description: "During October I attended the 2018 edition of the ACM Recommender System Conference, or RecSys, in Vancouver. For one week, over 800 participants from various corners of industry and academia presented results and discussed trends in recommender system design. As a first-time attendee, I was impressed by the clever and …"
+description: "Trends from RecSys 2018: contextual bandits, deep learning for recommendations, and fairness in personalization."
 pubDate: 2019-01-03
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src/src/content/blog/scipy-2017.md

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 title: "A review of SciPy 2017, including my talk on music trends"
-description: "Last week, I had the pleasure of speaking at SciPy 2017 in Austin about my work on modeling trends in music. Thanks to the SciPy committee and Enthought for hosting a wonderful conference with excellent speakers, and to everyone who postponed happy hour just a bit longer to join me …"
+description: "Speaking at SciPy 2017 about modeling trends in music, plus highlights from other talks at the conference."
 pubDate: 2017-07-20
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src/src/content/blog/sleeplessness-bad-code.md

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 title: "Sleeplessness => bad code"
-description: "David Smith recently pushed out an excellent episode of his Developing Perspectives podcast. In it, he discusses the importance of rest, especially as it relates to the quality of a developer's work."
+description: "How sleep deprivation during a busy summer led to silly bugs in a toy virtual memory manager."
 pubDate: 2012-08-03
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