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continued on my ahrefs DR reverse engineering. Around 10h investment, old model: correlation: 89%, new model: correlation 69% 😭
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reverse engineering ahrefs DR model- part 137
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reverse engineering ahrefs DR log scale - my manual approach was MUCH better than 2h of claude loops. Interesting: data science is another thing which works better by hand (or with external help) than with AI
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making Claude 3.5 Sonnet to come up with a pytorch code which finds a model which computes the ahrefs DR impact of a backlink. With manual exploration I came to a correlation of 66%. 5 minutes of Claude -> pytorch already pushed it up to 72%
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trying to find a better data science model for backlink analysis - spent around 16h for a promising new version - which turns out is worse than before 🙁
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reverse engineering ahrefs DR dimension - it's somehow logarithmic, but how exactly?
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Bump aiexperiments.co from Ahref score of 81% to 99% #aiexperiments
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finally came up with a way to make attribution matching work #reva
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research Open AI model fine tuning for reviews tagging #reva
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Full refacto of AI predictions and credit management #melies
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👨‍💻 re-create the "is the car damaged?" from kaggle | train the model on 64 picture and accuracy of the model is 92% 🤯
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tested succesfully keyphrase-extraction-kbir-inspec ai model via huggingface on newsletters to identify key words #sponsorgap
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train a model to see if I can detect accuracy in reviews based on a context. #beassured
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testing AI models
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predictive analysis #consulting
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#topbubbles rafactor model updates
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Improving SIC classifier model some more. Finally getting somewhere! Precision & Recall at 70% now #branddev
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see intermediary results of my custom training model #avatarai
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cross 200k on replicate with my model used in #audiogest #spectropic
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increase resemblance with training hacks #photoai
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