Python Deep Learning! #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-Deep-Le
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Python Deep Learning: Essential Frameworks for AI Development
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70 Free Online Machine Learning Courses for Data Scientists
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70 Best FREE Online Courses for Machine Learning! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/70-Courses-M-L -
Linear Models Explained: Machine Learning Fundamentals
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Linear Models Explained. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Mathematics #Statistics #Programming #Coding #100DaysofCode https://
geni.us/Linear-Models-
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Essential Statistical Books for Optimization in Data Science
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A Must Read List of Statistical #Books on Optimization. #BigData #Analytics #DataScience #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Mathematics #Programming #Coding #100DaysofCode https://
geni.us/Stat-Optimizat
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LSTM Model Development for Time Series Forecasting
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Develop LSTM Model for Time Series Forecasting. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Develop-Time-S
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Statistical Methods in Neural Networks for Data Science
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Statistical #NLProc from Neural Networks. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Statistical-NNs -
Models Still Lack Reliability for Real Agent Development
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Models are just not there to build real agents, whenever we try to build even multi step workflows (I wouldn't call them agents), we get there but it takes way more time and effort than it might seem from initial testing. Models are flaky, they don't understand nuances, it takes
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FastHTML Sample App in 84 Lines of Code
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BTW the whole fasthtml sample app is just 84 lines of code. Here's a version without the comments if you just want to read the code itself:
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Code Bloat: Why Software Lacks Biology’s Natural Regularization
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Indeed, huge dependency epidemic out there. In biology, code is energetically expensive so genomes have natural regularization. In software the cost of code is lower so it bloats like crazy into brittle mess.