Stay on top of #AI with these 27 AI tools: https://
linkedin.com/posts/ruben-ha
ssid_artificialintelligence-ai-technology-activity-7057333561044914176-k4X9
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#Artificalintelligence #BigData #DataScience #DataScientists #MachineLearning #DeepLearning #NLProc #ComputerVision #ChatGPT #NeuralNetworks
MACHINE LEARNING
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Stay Updated with 27 Essential AI Tools and Technologies
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Understanding Distance Metrics and Their Significance in Data Science
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Understanding Distance Metrics and Their Significance: http://
bit.ly/3MCUvUu
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#BigData #DataScience #AI #MachineLearning #Statistics #DataMining #Mathematics #DataLiteracy #DataFluency #DataScientists —————
Graphic by @FrnkNlsn at http://
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Comparison of Various Text Distance Metrics for Data Science
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Comparison of various Text Distance Metrics: http://
bit.ly/2FkLFuz —————
#BigData #DataScience #AI #MachineLearning #DataMining #TextAnalytics #TextMining #NLProc #Statistics #DataFluency #DataWrangling #FeatureEngineering #DataScientists -
9 Distance Metrics in Data Science and Machine Learning
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9 Distance Metrics used in #DataScience and #MachineLearning (advantages & pitfalls): http://
bit.ly/3HOQycC
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#BigData #AI #Statistics #Mathematics #DataScientists #DataLiteracy #Mathematics ———
See 700+ page book "Encyclopedia of Distances" (3rd edition): -
Data Science Learning Path with Tutorial Resources and Links
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𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝗮𝘁𝗵 𝗼𝗳 #𝗗𝗮𝘁𝗮𝗦𝗰𝗶𝗲𝗻𝗰𝗲 (with links to many tutorials): https://
linkedin.com/posts/nishika-
verma-6234121b4_python-sql-excel-activity-7057953994572185600-9AGi
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Why Tree-Based Machine Learning Outperforms Deep Learning on Tabular Data
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Why do tree-based #MachineLearning models still outperform #DeepLearning on tabular data? http://
arxiv.org/abs/2207.08815
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#BigData #DataScience #AI #Statistics #PredictiveAnalytics #Algorithms #Mathematics #NeuralNetworks #DataScientists -
State-of-the-Art Computer Vision Models and Techniques Collection
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Github collection of state-of-the-art #ComputerVision models, techniques, and notebooks: https://
github.com/roboflow/noteb
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#Python #BigData #DataScience #AI #MachineLearning #DeepLearning #Coding #Python #DataScientists #ObjectDetection #PyTorch #NeuralNetworks -
Code and Trained Model with Speech-to-Speech
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Du code, un modèle que j'ai entrainé et du "spech-to-speech" 🙂
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Chain-of-Thought Prompting: Does Incorrect CoT Hurt Performance?
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A question I get asked a lot about chain-of-thought (CoT) prompting is whether having incorrect CoT will hurt performance. This implicit research question here is basically whether the model is really learning how to reason from the CoT example, or if CoT exemplars elicit
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StarCoder: Exciting Developments in Open Source Code Generation
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There are a lot of things very very exciting about StarCoder