Python Data Science! #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/Python-DSci–
INNOVATION
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Python Data Science: Big Data, Analytics, and Machine Learning Resources
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Machine Learning with Python Cookbook Guide for Data Science
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Machine Learning with Python Cookbook! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/ML-Cookbook -
Python Data Science Tools and Technologies Overview
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Python Data Science! #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/Python-DSci— -
ChatGPT as a Coach: AI-Powered Learning and Self-Improvement
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An underrated thing to do with ChatGPT is to use it as a coach or tutor to help you learn new things and improve. Some are taking this even further — people like @daraladje are going to make AI an essential element of self-improvement in the near future.
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Applied Machine Learning and AI for Engineers Guide
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Applied Machine Learning and AI for Engineers! #BigData #Analytics #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/Applied-Engine
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OpenAI’s ChatGPT: Revolutionary AI Technology for Data Science
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OpenAI’s ChatGPT! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/OpenAI-Chatbots -
Large language models cannot provide sustainable competitive advantage
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And in the event you find a niche use case where the curve *on its own* is valuable, you should expect that use case will get commoditized in short order. A big curve trained on public data can never be a moat, no matter how large the dataset / how big the curve.
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Self-Supervised Learning Models Need Strong Applications to Create Value
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I'm bullish on leveraging interpolative manifolds trained on mountains of self-supervised data (big curves) to build valuable applications. But you should expect the app will do most of the valuable lifting. A curve on its own is a bit like a database with no app attached to it.
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Interesting AI Books Published in 2022
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Interesting Books on AI in 2022. #BigData #Analytics #DataScience #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/Books-AI-2022 -
Leveraging AI and ML in Industrial Data Modeling
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Get insights on how to best leverage in-house resources, hear success stories, and learn about the evolution of #AI and #ML with #datamodeling. Register now! http://
ow.ly/AaKA50LSMUN This #iiotdays session is #sponsored by @LAutomation
. #litmus_iiot #IMC2022 #NOAHzurich #MFG2030