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KER is committed to the development of the field of AI and the clarification & dissemination of its methods & concepts. Published by @CambridgeUP.

Cambridge, UK
Joined June 2020
Photo by The Knowledge Engineering Review journal (@KER_journal)Photo by The Knowledge Engineering Review journal (@KER_journal)Photo by The Knowledge Engineering Review journal (@KER_journal)Photo by The Knowledge Engineering Review journal (@KER_journal)
The Knowledge Engineering Review journal retweeted
Inductive Link Prediction in Knowledge Graphs by Michael Galkin buff.ly/35enSM6
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The Knowledge Engineering Review journal retweeted
Using MLflow To Track Machine Learning Experiments by Ram Vegiraju buff.ly/36GEOLj
Are you researching in #AI? #DeepLearning #researcher #MachineLearning #code #python Here it goes some essential papers, that may help you as well. bit.ly/3vErKAJ
The Knowledge Engineering Review journal retweeted
Rigid Body Dynamics by Joaquim A. Batlle and Ana Barjau Condomines Building from principles to cutting-edge research, this introduction to rigid body dynamics includes over 100 problems with solutions. ow.ly/jbvR50I6PcM
Sometimes we cannot find enough data in a specific dataset. Merging datasets is an essential tool nowadays. #AI #dataset #python #DataScience #MachineLearning #DeepLearning Here it goes some gist for merging different datasets: bit.ly/3pD2vee
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The Knowledge Engineering Review journal retweeted
Happy #WorldEngineeringDay! To celebrate, we've created a special #engineering resources hub page for you to explore - featuring notable text highlights, topical blogs, online course offerings, and more! ow.ly/ymJ350Ianaj #WED2022 #WorldEngineeringDay2022
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The Knowledge Engineering Review journal retweeted
ML Research of this week: 1. @MetaAI Architecture for Autonomous Intelligence 2. @AmazonScience What’s Next for Deep Learning 3. @berkeley_ai Competence-Based RL 4. @MetaAI Translating 100 Written and Spoken Languages in Real-Time Read more here: thesequence.substack.com/p/-…
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The Knowledge Engineering Review journal retweeted
Interpretable Machine Learning using SHAP — theory and applications by @khalilz90 buff.ly/36mXgIP
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Do you need to analyze your data? However, you don't remember #statistics, or perhaps it is not your best skill. #AI #DataScience #python #code Read more in: bit.ly/3p3Rqmj
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Are you having difficulties with data processing and how to use it in #deeplearning #networks? #AI #python #code #DataScience #dataprocessing Check it out his post: bit.ly/34TYaMQ
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The Knowledge Engineering Review journal retweeted
Indoor Robot Localization with SLAM by @ananduthaman buff.ly/3s6yh55
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