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Basic Mechanisms In Fire Control Computers (1953) [video] (youtube.com)
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)
> 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)
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)
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)
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?
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
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
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
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
URL: https://www.kaggle.com/code/stuarthallows/using-xgboost-with-scikit-learn
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http://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
Machine Learning, 5, 197-227 (1990)
© 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
Multi-modal ML with OpenAI's CLIP
Language models (LMs) can not rely on language alone. That is the idea behind the “Experience 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
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/#/
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.
April 09, 2020 —
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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https://github.com/facebookresearch/segment-anything
Please check out our new release on Segment Anything Model 2 (SAM 2).
- SAM 2 code: https://github.com/facebookresearch/segment-anything-2
- SAM 2 demo: https://sam2.metademolab.com/
- SAM 2 paper: https://arxiv.org/abs/2408.00714
Segment Anything Model 2 (SAM 2) is a foundation model towards solvin...
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https://ai.meta.com/blog/segment-anything-foundation-model-image-segmentation/
April 5, 2023
Segmentation — identifying which image pixels belong to an object — is a core task in computer vision and is used in a broad array of applications, from analyzing scientific imagery to editing photos. But creating an accurate segmentation model for specific tasks typically requires hig...
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https://towardsdatascience.com/a-framework-for-building-a-production-ready-feature-engineering-pipeline-f0b29609b20f/
The Full Stack 7-Steps MLOps Framework
This tutorial represents lesson 1 out of a 7-lesson course that will walk you step-by-step through how to design, implement, and deploy an ML system using MLOps good practices. During the course, you will build a production-ready model to forecast energy consum...
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https://github.com/benfred/implicit
Fast Python Collaborative Filtering for Implicit Datasets.
This project provides fast Python implementations of several different popular recommendation algorithms for implicit feedback datasets:
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Alternating Least Squares as described in the papers Collaborative Filtering for Implicit Feedback Dat...
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