More? Data Science vs. #MachineLearning: What’s the Difference? https://
coursera.org/articles/data-
science-vs-machine-learning
… #BigData #Data #DataScience #AI #IoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #DataScientist #Programming #Coding #100DaysofCode #DevOps #SQL #CodeNewbie
MACHINE LEARNING
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Data Science vs Machine Learning: Key Differences Explained
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Binance MLOps Architecture: Loosely Coupled Pipelines Design
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An informative blog from @binance on their MLOps architecture and pipelines ⦾ Loosely coupled pipelines so that the system is robust against failures
⦾ Separate pipelines for online and offline computations
⦾ Individual layer based architecture for flexibility and scalability -
AI Restores Ancient Egyptian Faces with Machine Learning
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Artificial intelligence brings life back to the faces of Ancient Egypt
— Pascal Bornet (@pascal_bornet) 29 novembre 2022
Credit: unlock egypt#ai #artificialintelligence #machinelearning #techforgood pic.twitter.com/RLPaUiXSnsArtificial intelligence brings life back to the faces of Ancient Egypt Credit: unlock egypt
#ai #artificialintelligence #machinelearning #techforgood -
Fine-Tuning Vision Models with SGD Optimization
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How to Fine-Tune Vision Models with SGD Kumar et al.: https://
arxiv.org/abs/2211.09359 #ArtificialIntelligence #DeepLearning #MachineLearning -
Zero-shot style requests less controlled; retry stylized ‘step-by-step’ examples.
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Zero-shotting style requests works somewhat now, but still not as controlled as using demonstrations. Need to retry some of my stylized "Let's think step by step" examples on the new model.
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GPT-3 explains the Black-Scholes formula in an uwu voice
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New GPT-3 version (text-davinci-003) explains the Black-Scholes formula in an uwu voice:
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Evolution of Object Detection Methods: From Sliding Windows to YOLO
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Traditionally it was with a sliding window approach using an object recognizer passed over the image at different scales. Now some of the fastest methods like YOLO2 or 3 jointly detect bounding boxes and classify at the same time. (I may be a year or 2 out of date.)
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Worker Involvement Essential for Successful AI Initiatives
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Needed: More Worker Involvement In #ArtificialIntelligence Initiatives https://
forbes.com/sites/joemcken
drick/2022/11/28/needed-more-worker-involvement-in-artificial-intelligence-initiatives/
… @Forbes @joemckendrick #AI #MachineLearning #Robots #BigData #Analytics #DataScience #100DaysofCode #IoT #serverless #womenwhocode #FutureOfWork #DigitalTransformation #DeepLearning -
Meta AI Stanford Tübingen Beat Neural Scaling Laws Data Pruning
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NeurIPS 2022 | Meta AI, Stanford & Tübingen U Beat Neural Scaling Laws via Data Pruning https://
syncedreview.com/2022/11/28/neu
rips-2022-meta-ai-stanford-tubingen-u-beat-neural-scaling-laws-via-data-pruning/
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Artificial Intelligence Benefits and Drawbacks Explored
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Artificial intelligence is both Yin and Yang https://
dataconomy.com/2022/11/benefi
ts-and-drawbacks-of-artificial-intelligence/
… @DataconomyMedia #ArtificialIntelligence #MachineLearning #Robots #BigData #Analytics #AI #100DaysofCode #IoT #serverless #DEVCommunity #womenwhocode #DigitalTransformation #DataScience #DeepLearning #AIEthics