9월, 2021의 게시물 표시

When you sell AI but use regression in production. https://t.co/JaHx8ueacE

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Favorite tweet: When you sell AI but use regression in production. https://t.co/JaHx8ueacE — Tim Kietzmann (@TimKietzmann) Sep 25, 2021 When you sell AI but use regression in production. https://t.co/JaHx8ueacE https://t.co/JaHx8ueacE September 25, 2021 at 05:49PM

Reinforcement Learning 👇 #programming #database #Data #DataScientists #Analytics #BigData #AI #Python #DataScience #Tech #IoT #ML #NLP #javascript #TensorFlow #Coding #Serverless  #100DaysOfCode #Dataviz #MachineLearning #Devops #reinforcementlearning https://t.co/BReNA3uuOO

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Favorite tweet: Reinforcement Learning 👇 #programming #database #Data #DataScientists #Analytics #BigData #AI #Python #DataScience #Tech #IoT #ML #NLP #javascript #TensorFlow #Coding #Serverless  #100DaysOfCode #Dataviz #MachineLearning #Devops #reinforcementlearning https://t.co/BReNA3uuOO — Mais AbuSalah (@mais_abusalah) Sep 21, 2021 Reinforcement Learning 👇 #programming #database #Data #DataScientists #Analytics #BigData #AI #Python #DataScience #Tech #IoT #ML #NLP #javascript #TensorFlow #Coding #Serverless  #100DaysOfCode #Dataviz #MachineLearning #Devops #reinforcementlearning https://t.co/BReNA3uuOO http://twitter.com/mais_abusalah/status/1440160053844013059 https://t.co/BReNA3uuOO September 21, 2021 at 12:44PM

#Algorithms for decision-making — excellent FREE download eBook from MIT: https://t.co/TRP1USGDrF ————— #abdsc #AI #MachineLearning #BigData #DataScience #DataScientists #Mathematics #Statistics #DataLeadership @LeadershipData https://t.co/VmsCT8mzBy

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Favorite tweet: #Algorithms for decision-making — excellent FREE download eBook from MIT: https://t.co/TRP1USGDrF ————— #abdsc #AI #MachineLearning #BigData #DataScience #DataScientists #Mathematics #Statistics #DataLeadership @LeadershipData https://t.co/VmsCT8mzBy — Kirk Borne (@KirkDBorne) Sep 20, 2021 #Algorithms for decision-making — excellent FREE download eBook from MIT: https://t.co/TRP1USGDrF ————— #abdsc #AI #MachineLearning #BigData #DataScience #DataScientists #Mathematics #Statistics #DataLeadership @LeadershipData https://t.co/VmsCT8mzBy http://twitter.com/KirkDBorne/status/1440016635415474181 https://t.co/TRP1USGDrF September 21, 2021 at 03:14AM

🌱DS tips Overview of data science #datascience #machinelearning #python #artificialintelligence #ai #data #dataanalytics #bigdata #deeplearning #programming #coding #100daysofcode https://t.co/coMOT38qYL

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Favorite tweet: 🌱DS tips Overview of data science #datascience #machinelearning #python #artificialintelligence #ai #data #dataanalytics #bigdata #deeplearning #programming #coding #100daysofcode https://t.co/coMOT38qYL — Ken@DS (@KenAsDS) Sep 20, 2021 🌱DS tips Overview of data science #datascience #machinelearning #python #artificialintelligence #ai #data #dataanalytics #bigdata #deeplearning #programming #coding #100daysofcode https://t.co/coMOT38qYL http://twitter.com/KenAsDS/status/1439995482542166024 https://t.co/coMOT38qYL September 21, 2021 at 01:50AM

How can #MaaS become a successful model in the U.S.? We chatted with Carol Schweiger (@Tech4Transit) about the present and future of mobility as a service on the latest episode of #TRBExplorers. Listen and subscribe. https://t.co/GHg84bvHEB https://t.co/syuNM7ulwb

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Favorite tweet: How can #MaaS become a successful model in the U.S.? We chatted with Carol Schweiger (@Tech4Transit) about the present and future of mobility as a service on the latest episode of #TRBExplorers. Listen and subscribe. https://t.co/GHg84bvHEB https://t.co/syuNM7ulwb — TRB (@NASEMTRB) Sep 20, 2021 How can #MaaS become a successful model in the U.S.? We chatted with Carol Schweiger (@Tech4Transit) about the present and future of mobility as a service on the latest episode of #TRBExplorers. Listen and subscribe. https://t.co/GHg84bvHEB https://t.co/syuNM7ulwb http://twitter.com/NASEMTRB/status/1439953174144733186 https://t.co/GHg84bvHEB September 20, 2021 at 11:02PM

Torch.manual_seed(3407) is all you need: On the influence of random seeds in deep learning architectures for computer vision @david_picard tl;dr: one can easily get +0.2 pp accuracy on ImageNet just by changing random seed. And much more on CIFAR10 https://t.co/Nsc7a5B7Ko https://t.co/2dmNYvNgC1

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Favorite tweet: Torch.manual_seed(3407) is all you need: On the influence of random seeds in deep learning architectures for computer vision @david_picard tl;dr: one can easily get +0.2 pp accuracy on ImageNet just by changing random seed. And much more on CIFAR10 https://t.co/Nsc7a5B7Ko https://t.co/2dmNYvNgC1 — Dmytro Mishkin (@ducha_aiki) Sep 20, 2021 Torch.manual_seed(3407) is all you need: On the influence of random seeds in deep learning architectures for computer vision @david_picard tl;dr: one can easily get +0.2 pp accuracy on ImageNet just by changing random seed. And much more on CIFAR10 https://t.co/Nsc7a5B7Ko https://t.co/2dmNYvNgC1 http://twitter.com/ducha_aiki/status/1439850704559034369 https://t.co/Nsc7a5B7Ko September 20, 2021 at 04:15PM

📦🤖 ml-study-plan • The Ultimate FREE Machine Learning Study Plan 👤 Patrick Loeber @python_engineer 🔗 https://t.co/NgrRIun4jx #python #datascience

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Favorite tweet: 📦🤖 ml-study-plan • The Ultimate FREE Machine Learning Study Plan 👤 Patrick Loeber @python_engineer 🔗 https://t.co/NgrRIun4jx #python #datascience — Python posts you might have missed! (@icymi_py) Sep 20, 2021 📦🤖 ml-study-plan • The Ultimate FREE Machine Learning Study Plan 👤 Patrick Loeber @python_engineer 🔗 https://t.co/NgrRIun4jx #python #datascience http://twitter.com/icymi_py/status/1439790550199242756 https://t.co/NgrRIun4jx September 20, 2021 at 12:16PM

Geometric deep learning of RNA structure https://t.co/sBcC7k8Atd

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Favorite tweet: Geometric deep learning of RNA structure https://t.co/sBcC7k8Atd — Barney Pell (@barneyp) Sep 20, 2021 Geometric deep learning of RNA structure https://t.co/sBcC7k8Atd http://twitter.com/barneyp/status/1439747491533000705 https://t.co/sBcC7k8Atd September 20, 2021 at 09:25AM

A Practical Guide to Linear Regression — From EDA to Feature Engineering to Model Evaluation: https://t.co/n7W47Gc6gp ———— #BigData #DataScientists #DataScience #Statistics #DataLiteracy #MachineLearning #AI #StatisticalModeling

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Favorite tweet: A Practical Guide to Linear Regression — From EDA to Feature Engineering to Model Evaluation: https://t.co/n7W47Gc6gp ———— #BigData #DataScientists #DataScience #Statistics #DataLiteracy #MachineLearning #AI #StatisticalModeling — Kirk Borne (@KirkDBorne) Sep 19, 2021 A Practical Guide to Linear Regression — From EDA to Feature Engineering to Model Evaluation: https://t.co/n7W47Gc6gp ———— #BigData #DataScientists #DataScience #Statistics #DataLiteracy #MachineLearning #AI #StatisticalModeling http://twitter.com/KirkDBorne/status/1439689739968385024 https://t.co/n7W47Gc6gp September 20, 2021 at 05:35AM

💥 Key differences between TensorFlow & NumPy: https://t.co/573ArEyIcg #TensorFlow #NumPy #DataScience https://t.co/nDBJAZSEb1

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Favorite tweet: 💥 Key differences between TensorFlow & NumPy: https://t.co/573ArEyIcg #TensorFlow #NumPy #DataScience https://t.co/nDBJAZSEb1 — Data Science Dojo (@DataScienceDojo) Sep 19, 2021 💥 Key differences between TensorFlow & NumPy: https://t.co/573ArEyIcg #TensorFlow #NumPy #DataScience https://t.co/nDBJAZSEb1 http://twitter.com/DataScienceDojo/status/1439683224947634176 https://t.co/573ArEyIcg September 20, 2021 at 05:10AM

‘한국판 뉴딜’ 일환으로 ‘2022년 지자체 지능형교통체계(ITS) 국고보조사업’을 추진할 지자체를 선정하였습니다! 자세히 보기 ▶ https://t.co/MhHYHWCavm #지능형교통체계 #ITS #도로교통 #국고보조사업 #지자체 #광주광역시 #경기도 #화성시 #제주도 https://t.co/VwNlRCPlKO

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Favorite tweet: ‘한국판 뉴딜’ 일환으로 ‘2022년 지자체 지능형교통체계(ITS) 국고보조사업’을 추진할 지자체를 선정하였습니다! 자세히 보기 ▶ https://t.co/MhHYHWCavm #지능형교통체계 #ITS #도로교통 #국고보조사업 #지자체 #광주광역시 #경기도 #화성시 #제주도 https://t.co/VwNlRCPlKO — 국토교통부 (@Korea_land) Sep 9, 2021 ‘한국판 뉴딜’ 일환으로 ‘2022년 지자체 지능형교통체계(ITS) 국고보조사업’을 추진할 지자체를 선정하였습니다! 자세히 보기 ▶ https://t.co/MhHYHWCavm #지능형교통체계 #ITS #도로교통 #국고보조사업 #지자체 #광주광역시 #경기도 #화성시 #제주도 https://t.co/VwNlRCPlKO http://twitter.com/Korea_land/status/1435847700088381448 https://t.co/MhHYHWCavm September 09, 2021 at 03:09PM

Today on the blog we present a 2-stage framework for anomaly detection that combines recent progress on deep representation learning and classic one-class algorithms, is simple to train, and results in state-of-the-art performance. Learn more ↓ https://t.co/4r8jHIXp3I

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Favorite tweet: Today on the blog we present a 2-stage framework for anomaly detection that combines recent progress on deep representation learning and classic one-class algorithms, is simple to train, and results in state-of-the-art performance. Learn more ↓ https://t.co/4r8jHIXp3I — Google AI (@GoogleAI) Sep 2, 2021 Today on the blog we present a 2-stage framework for anomaly detection that combines recent progress on deep representation learning and classic one-class algorithms, is simple to train, and results in state-of-the-art performance. Learn more ↓ https://t.co/4r8jHIXp3I http://twitter.com/GoogleAI/status/1433533689674313729 https://t.co/4r8jHIXp3I September 03, 2021 at 05:54AM

Using GPS floating vehicle data, the Performance Analysis Trajectory Help (PATH) delivered a virtual infrastructure of corridors and junctions, giving UK authorities high-level awareness of traffic signal performance. #cuttransportationemissions Link: https://t.co/x430cn1cN6 https://t.co/VClOqpFbvV

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Favorite tweet: Using GPS floating vehicle data, the Performance Analysis Trajectory Help (PATH) delivered a virtual infrastructure of corridors and junctions, giving UK authorities high-level awareness of traffic signal performance. #cuttransportationemissions Link: https://t.co/x430cn1cN6 https://t.co/VClOqpFbvV — INRIX ® (@INRIX) Sep 14, 2021 Using GPS floating vehicle data, the Performance Analysis Trajectory Help (PATH) delivered a virtual infrastructure of corridors and junctions, giving UK authorities high-level awareness of traffic signal performance. #cuttransportationemissions Link: https://t.co/x430cn1cN6 https://t.co/VClOqpFbvV http://twitter.com/INRIX/status/1437868775257219072 https://t.co/x430cn1cN6 September 15, 2021 at 05:00AM

Joint paper with Xiaobai Yao, Jukka Krisp, and @binjiangxp on a state-of-the-art review on "analytics of location-based big data for smart cities" just published. https://t.co/y4X87806iP https://t.co/RS6oivVglT

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Favorite tweet: Joint paper with Xiaobai Yao, Jukka Krisp, and @binjiangxp on a state-of-the-art review on "analytics of location-based big data for smart cities" just published. https://t.co/y4X87806iP https://t.co/RS6oivVglT — Haosheng Huang (@hhaosheng) Sep 14, 2021 Joint paper with Xiaobai Yao, Jukka Krisp, and @binjiangxp on a state-of-the-art review on "analytics of location-based big data for smart cities" just published. https://t.co/y4X87806iP https://t.co/RS6oivVglT http://twitter.com/hhaosheng/status/1437680143485526020 https://t.co/y4X87806iP September 14, 2021 at 04:30PM