I started my career in Data Science back in 2016 Here are 7 tips for those starting out today! A Thread
RESEARCH
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Rethinking Neural Network Abstractions Beyond Traditional Models
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There has been previous attempts like OpenWorm from many years ago, but progress hasn’t been spectacular. Maybe we need to rethink the way we abstract the concept of “neurons” and “weights” and their interactions in our own artificial neural network models. https://t.co/H74qcjgP3i
— hardmaru (@hardmaru) 2 juillet 2023There has been previous attempts like OpenWorm from many years ago, but progress hasn’t been spectacular. Maybe we need to rethink the way we abstract the concept of “neurons” and “weights” and their interactions in our own artificial neural network models.
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Why Can’t We Simulate Mapped Brain Connectomes Computationally?
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There are many projects that have mapped whole-brain connectome of various creatures, from C. elegans (302 neurons) to Drosophila fruit fly (~100k neurons). With our current compute, why can’t we create accurate computer simulations of these creatures in a virtual 3D environment? https://t.co/PXCsnIaYAJ
— hardmaru (@hardmaru) 2 juillet 2023There are many projects that have mapped whole-brain connectome of various creatures, from C. elegans (302 neurons) to Drosophila fruit fly (~100k neurons). With our current compute, why can’t we create accurate computer simulations of these creatures in a virtual 3D environment?
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Critical thinking and research methodology in AI development
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Fundamentally agree. But I don't think it's about knowledge or facts about certain techniques. Old school for old school sake is also a bit strange. I think it's about reasoning, good research taste and critical thinking which is not necessarily about math and science.
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Taking Responsibility for AI-Generated Information Sources
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I think, one has to take the responsibility if the information is from his/her desk/computer, source could be anything, including #ChatGPT
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Expected Utility Theory Limitations in Modern AI Systems
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It looks like a restatement of expected utility theory, dealing with none of the places where I expect difficulty to lie in an EU paradigm, such as "getting any utility function whatsoever into an AI built along anything remotely resembling the modern paradigm" and "stating a
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Making Sense of Statistics Big Data Analytics and AI
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Making Sense of #Statistics! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/Making-Sense -
Data Science in R: Machine Learning and Big Data Analytics
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Data Science in R! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/DSci-R -
Essential Data Science Books for Learning Analytics and Programming
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Best Books on Data Science! #BigData #Analytics #DataScience #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/Best-Books-on-
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Data Science Techniques and Intelligent Applications Guide
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Data Science Techniques and Intelligent Applications! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/DSci-Technique
s-Apps
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