Everything in Python flask + Azure OpenAI. I am working on moving AI part to Claude Sonet. Seems that results are bit different since GPT model has more rough approach to merging requirements and also less sensitive to finding gaps.
Definitely will check it.
What is your best way, you usualy verify market and business idea?How long does it usualy take till you have enough confirmation?Story behind: I built my own copilot, that helps with information retrieval and online verification from scanned documents and recipients. We are working on market validation, talking to users and promotion, but i feel that tracktion is way slow. We had just 3 talks...
if you have a small amount of money (around 20k), where you would invest? What would you buy in order to earn another money e.g. 200€/month or so.
Do you have any resource recommendation for deep dive into SDR (Software Defined Radio)? What's your interesting project or usage worth sharing?
Hello,can you recommend any resources about pricing hw and sw products in manufacturing industry?
- no domestic country manager,
- no BS meetings,
- no BS about overtimes,
- contract + good pay,
- home-office,
[1] Pattern Recognition and Machine Learning (Information Science and Statistics) by Christopher M. Bishop
Andreas Brandmaier's permutation distribution clustering is a method rooted in the dissimilarities between time series, formalized as the divergence between their permutation distributions. Personally, I think this is your "best" option http://cran.r-project.org/web/packages/pdc/index.html
Eamonn Keogh's SAX (Symbolic Aggregate Approximation) and iSAX routines develop "shape clustering" for time series
http://www.cs.ucr.edu/~eamonn/SAX.htm
There are approaches based on text compression algorithms that remove the redundancy in a sequence of characters (or numbers), creating a kind of distance or density metric that can be used as inputs to clustering, see, e.g.:
http://link.springer.com/chapter/10.1007/978-0-387-84816-7_4
This paper by Rob Hyndman Dimension Reduction for Clustering Time Series Using Global Characteristics, discusses compressing a time series down to a small set of global moments or metrics and clustering on those:
http://www.robjhyndman.com/papers/wang2.pdf
Chapter 15 in Aggarwal and Reddy's excellent book, Data Clustering, is devoted to a wide range (a laundry list, really) of time-series clustering methods (pps 357-380). The discussion provides excellent background to many of the issues specific to clustering a time series"
http://users.eecs.northwestern.edu/~goce/SomePubs/Similarity...
...and a lot more.
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[1] https://www.amazon.com/Pattern-Recognition-Learning-Informat...
Do you restrict content (youtube, online/g-play games) for your kids? If yes, what approach or solution you can recommend?
Most of us are working with virtual things - software, network, marketing, analytics, etc.I still have an inevitable need to do something tangible. Especially at spring. I am more than happy if I can repair something at home, car, do some gardening, etc. But nothing regular.Wondering if you have any tangible hobby. Have you web or blog where you share you hobby-expertise? I'd like to read what...