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Vector Databases: A Technical Primer [pdf] (digitaloceanspaces.com)

news.ycombinator.com,hackernews,tech,news
Thanks for writing this one Simon, I read it some time ago and I just wanted to say thanks and recommend it to folks browsing the comments, it's really good! Nicely written and very approachable. Might add a paragraph on why to use cosine similarity, as it gives a chance to illustrate how the n-dime...
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Indexing iCloud Photos with AI Using LLaVA and Pgvector (medium.com/mustafaakin)

news.ycombinator.com,hackernews,tech,news
I think image-encoder from CLIP (even smallest variant ViT B/32) is good enough to capture a lot of semantic information to allow natural language query once images are indexed. A lot of work actually goes into integrating with existing meta-data like local-directory, date-time to augment NL query a...
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Time Series Forecasting vs Regression: An informal guide (amorphousdata.com)

news.ycombinator.com,hackernews,tech,news
The author makes a call out to the online book Forecasting: Principles and Practice which is a great reference when conducting time series analyses. https://otexts.com/fpp3/ I found it to be way too underspecific; more of cursory overview for a undergraduate seeing it for the first time in a busines...
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PID Without a PhD (2016) [pdf] (wescottdesign.com)

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Excellent source for PID heuristics. That being said PID control is >100 years old concept and we have done tremendous theoretical progress since then and we have access to fast numerical solvers for constrained optimization. Look for Model Predictive control, Dynamic Matrix Control, Adaptive Contro...
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Basic Mechanisms In Fire Control Computers (1953) [video] (youtube.com)

news.ycombinator.com,hackernews,tech,news
In 1989 I was a data systems tech on a Destroyer going through some overhaul at the shipyard in Pascagoula Mississippi. Moored right next to us was the battleship Wisconsin. Huge relic from WW2 but still going through modernization. A bunch of us that worked on combat systems got invited for a tour ...
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Fear of over-engineering has killed engineering altogether (fika.bar)

news.ycombinator.com,hackernews,tech,news
> Before the 2000s, academics ruled computer science. They tried to understand what "engineering" meant for programming. They borrowed practices from other fields. Like dividing architects from practitioners and managing waterfall projects with rigorous planning. I don’t think this is anywhere close...
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TimesFM: Time Series Foundation Model for time-series forecasting (github.com/google-research)

news.ycombinator.com,hackernews,tech,news
I'm curious why we seem convinced that this is a task that is possible or something worthy of investigation. I've worked on language models since 2018, even then it was obvious why language was a useful and transferable task. I do not at all feel the same way about general univariate time series tha...
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Show HN: Building a GPS receiver (axleos.com)

news.ycombinator.com,hackernews,tech,news
Hi everyone! Shortly after publishing my iOS 4 jailbreak last October[1], I got to work on my next hobby project: a from-scratch homebrew GPS receiver, which can solve the user’s location solely from billions of radio antenna samples. I took a commodity SDR (alongside the Python standard library and...
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ShotSpotter: listening in on the neighborhood (computer.rip)

news.ycombinator.com,hackernews,tech,news
Hello all, occasionally I write what I consider "Albuquerque content" and I do not expect it to become broadly popular. This article is something I put together very quickly and it probably assumes a certain degree of familiarity with the political context around policing in Albuquerque (which eithe...
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Ask HN: How to come up with monetizable side project ideas?

news.ycombinator.com,hackernews,tech,news
I love building small tools which solve problems I myself face in my day to day life. Having been worked in different companies over the last 4 years, I feel I've acquired enough knowledge to develop big applications(big enough to make money) on my own. I was wondering, how one can come up with side...
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https://www.kaggle.com/code/prashant111/xgboost-k-fold-cv-feature-importance

data-science,machine-learning,kaggle,www.kaggle.com
URL: https://www.kaggle.com/code/prashant111/xgboost-k-fold-cv-feature-importance
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https://www.kaggle.com/datasets/psparks/instacart-market-basket-analysis/data

data-science,machine-learning,kaggle,www.kaggle.com
URL: https://www.kaggle.com/datasets/psparks/instacart-market-basket-analysis/data
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https://www.kaggle.com/code/beniel/01-introduction-to-rapids

data-science,machine-learning,kaggle,www.kaggle.com
URL: https://www.kaggle.com/code/beniel/01-introduction-to-rapids
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https://www.kaggle.com/code/stuarthallows/using-xgboost-with-scikit-learn

data-science,machine-learning,kaggle,www.kaggle.com
URL: https://www.kaggle.com/code/stuarthallows/using-xgboost-with-scikit-learn
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http://www.feat.engineering/

www.feat.engineering
Feature Engineering and Selection: A Practical Approach for Predictive Models 2019-06-21 Preface A note about this on-line text: This book is sold by Taylor & Francis Group, who owns the copyright. We will be updating this version as we find errors or typos (see the Errata). The physical copies are ...
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http://www.schapire.net/papers/strengthofweak.pdf

www.schapire.net
Machine Learning, 5, 197-227 (1990) Β© 1990 Kluwer Academic Publishers, Boston. Manufactured in The Netherlands. The Strength of Weak Learnability ROBERT E. SCHAPIRE (rs@theory.lcs.mit.edu) MIT Laboratory for Computer Science, 545 Technology Square, Cambridge, MA 02139 Abstract. This paper addresses ...
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https://www.pinecone.io/learn/series/image-search/clip/?_hsenc=p2ANqtz-_MZUbziNKCoB2HdM3hBzmaHEesRF9TFZ-S2FkjdJPtOZ2z4GVwso8C-LuBAx8f1Ac7N3G2rnc19e3xHqfVE4zty3DNoQ&_hsmi=251366668&utm_content=251366668&utm_medium=email&utm_source=hs_automation

www.pinecone.io
Multi-modal ML with OpenAI's CLIP Language models (LMs) can not rely on language alone. That is the idea behind the β€œExperience Grounds Language” paper, that proposes a framework to measure LMs' current and future progress. A key idea is that, beyond a certain threshold LMs need other forms of data,...
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https://medium.com/loopio-tech/how-to-use-faiss-to-build-your-first-similarity-search-bf0f708aa772

medium,article,blog,medium.com
How to Use FAISS to Build Your First Similarity Search At Loopio, we use Facebook AI Similarity Search (FAISS) to efficiently search for similar text. Finding items that are similar is commonplace in many applications. Perhaps you want to find products in your store that match the description input ...
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https://anomagram.fastforwardlabs.com/#/

anomagram.fastforwardlabs.com
You need to enable JavaScript to run this app.
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https://blog.tensorflow.org/2020/04/how-airbus-detects-anomalies-iss-telemetry-data-tfx.html?_gl=1*1fs4mrw*_ga*MTM0MTM2NTM4Ni4xNjgzOTI0NDg0*_ga_W0YLR4190T*MTY4NTAyNTEzMC4xNS4xLjE2ODUwMjUzNjIuMC4wLjA.

machine-learning,deep-learning,tensorflow,blog.tensorflow.org
April 09, 2020 β€” A guest post by Philipp Grashorn, Jonas Hansen and Marcel Rummens from Airbus Airbus provides several services for the operation of the Columbus module and its payloads on the International Space Station (ISS). Columbus was launched in 2008 and is one of the main laboratories onboar...
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