literally my critique (1998-2025) was that if you don’t add symbol-manipulation you fail in certain ways, and the systems failed in those ways. once you add in symbol-manipulation, things get more interesting, and the rate-limiting step becomes how you leverage those new tools.
MACHINE LEARNING
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Understanding LSTM Networks: Deep Learning Fundamentals Explained
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Thoughtful Explainer on LSTM Networks! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Thoughtful-LST
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Re-Ranking Techniques for Improved LLM RAG Systems
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How to Use Re Ranking for Better LLM RAG! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #CloudComputing #DataScientist #Linux #Programming #Coding #Books #100DaysofCode https://
geni.us/Better-LLM-RAG -
Preparing Time Series Data with RNN LSTM Networks
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How to Prepare Time Series Data with RNN/LSTM? #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
bit.ly/3q3xByK -
Introduction to Neural Networks and Deep Learning Frameworks
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Introduction to Neural Networks! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode
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Essential Python Books for Data Science and Machine Learning
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Top Python Books to Read! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/Pro-in-Python-
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Python Programming Syllabus for Machine Learning and AI
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Syllabus to learn python programming http://
amzn.to/44Ke9ZK #Syllabus #python #programming #MachineLearning #AI #IoT -
xLSTMAD: Anomaly Detection for Multivariate Time Series
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10. xLSTMAD This paper introduces xLSTMAD, the first anomaly detection method using an encoder-decoder xLSTM architecture tailored for multivariate time series.
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NaturalThoughts: Reasoning Traces Dataset from DeepSeek-R1
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8. NaturalThoughts This paper introduces NaturalThoughts, a large-scale dataset of reasoning traces distilled from DeepSeek-R1 using questions from the NaturalReasoning corpus.
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Visual Structures Enhance GPT-4o Feature Binding Reasoning
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9. Visual Structures Help Visual Reasoning This study shows that adding simple spatial structures (like horizontal lines) to images significantly boosts GPT-4o’s visual reasoning by improving feature binding.