a new version of moore’s law that could start soon: the amount of intelligence in the universe doubles every 18 months
MACHINE LEARNING
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Robotics and Artificial Intelligence: The Future of Humanity
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Why #Robotics And #ArtificialIntelligence Are The Future Of Mankind
by @thelfrich @Forbes Learn more: https://
buff.ly/3wdNbIz #AI #BigData #MachineLearning #Cloud #ML #MI #DataScience #DL #Tech cc: @bigdata @patrickgunz_ch @amuellerml -
Free Machine Learning Crash Course for Aspiring Practitioners
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Machine Learning Crash Course 100% free. A self-study guide for aspiring machine learning practitioners. https://
developers.google.com/machine-learni
ng/crash-course/
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Offline customized model that doesn’t record your inputs, valuable to some
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Offline, customized model that doesn't record your inputs. Not necessary for the vast majority of users, but valuable to some.
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Bayes’ Theorem and Bayesian Classifiers in AI Explained
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In this @Cognilytica #AIToday #podcast AI Glossary Series episode 'Bayes’ Theorem, Bayesian Classifier, Naive Bayes' hosts @rschmelzer & @kath0134 define these terms & explain how they relate to #AI. Full episode: https://
aidatatoday.com/ai-today-podca
st-ai-glossary-series-bayes-theorem-bayesian-classifier-naive-bayes/?utm_source=dlvr.it&utm_medium=twitter
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#Bayesian #Classifier #ML #tech #data -
Web 3.0 as a Data Revolution: Exploring the Connection
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Is Web 3.0 A #Data Revolution?
by @DanielArayaXY @Forbes Learn more: https://
buff.ly/3AxtFte #DataScience #AI #BigData #MachineLearning #ArtificialIntelligence #ML #MI #Blockchain #Digital cc: @ronald_vanloon @yvesmulkers @kuriharan -
Artificial Intelligence Taking Over: Implications and Future
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Like I Was Sayin': When artificial intelligence takes over a … – Fairfield Daily Republic Read more here: https://
ift.tt/bXa6swk #ArtificialIntelligence #AI #DataScience #100DaysOfCode #Python #MachineLearning #BigData #DeepLearning #NLP #Robots #IoT -
LLMs could have Stable Diffusion moment, run locally soon
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Decent LLMs could have their "Stable Diffusion" moment within a year – and be able to run locally on your own machine. They are getting smaller and more efficient: Meta's LLaMA 13B model beat GPT-3 in 5:7 zero-shot common sense reasoning tests, with ~92% fewer parameters.
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Understanding Word Embeddings and Recurrent Neural Networks
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7/ Understand Wordembeddings and RNNs
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NLP Fundamentals: Essential Concepts for Beginners
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6/ NLP fundamentals you should know https://
medium.com/@avikumart_/th
e-fundamentals-of-natural-language-processing-a-beginners-guide-5b2a0671c998
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