Prediction of Cysteine Based on Deep Learning Framework! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode
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Deep Dive into Machine Learning
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Deep Dive into Machine Learning. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Types-of-ML-Le
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Mobile vibe coding reimagined
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we aren’t porting the web app, that is already down, we are reimagining vibe coding for mobile : )
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CLAW-SWE-BENCH benchmark compares coding agents on GitHub issues
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Can your coding agent handle real-world GitHub issues fairly? Researchers from TokenRhythm, Infinigence AI, and eight universities introduce CLAW-SWE-BENCH—a standardized benchmark that lets you compare different coding agents (called "claws") under the same prompt, budget, and
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Question about Pi’s selling point over Cline for classic codex user
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Thx. As someone who mostly uses classic codex, what's the like the selling point behind Pi over Cline etc?
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Speculation on model’s default preferences for React in projects
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Not sure if that's a change in default preferences from the models or just that I'm often prompting inside existing projects and the models know full well not to introduce React to a project that isn't using it already I tried in a fresh project just now and got vanilla HTML+JS
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LLMs less likely to default to React than last year
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Is it just me, or are today's LLMs less likely to default to building everything in React than they were last year? I used to have to say "don't use React" in almost all of my frontend web dev prompts, I've not had to do that for most of the models in quite a while now
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Book on ML for Time Series Forecasting and Anomaly Detection
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Machine Learning for Time Series with Python — Forecast, predict, and detect anomalies with state-of-the-art ML methods: http://
amzn.to/3wrjXVv by @benji1a —————
#DataScience #AI #Forecasting #PredictiveAnaytics #AnomalyDetection #IoT #IIoT #EdgeAI #EdgeComputing -
RAG-Driven Generative AI 2nd Edition: Build MAS-RAG with DualRAG
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New (2nd edition) from @PacktDataML available at http://
amzn.to/4tULP1b RAG-Driven Generative AI — Build MAS-RAG with DualRAG, GraphRAG, multimodal video pipelines, and Oracle Database 23ai 𝗞𝗲𝘆 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀:
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LLM Engineer’s Handbook: Master LLM engineering from concept to production
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LLM Engineer's Handbook — Master the art of engineering Large Language Models LLMs from concept to production: http://
amzn.to/4dUQrv6 v/ @PacktDataML Implement robust data pipelines and manage LLM training cycles Create your own LLM and refine with the help of hands-on