Best Machine Learning for #CyberSecurity! (+More). #BigData #Analytics #DataScience #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/ML-Books-Cyber
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MACHINE LEARNING
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Machine Learning for Cybersecurity: Essential Books and Tools
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Model Interoperability with ONNX Framework for Machine Learning
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Model Interoperability with the ONNX Framework! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Model-Int-ONNX
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Mastering Python: 100+ Exercises for Data Science and AI
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Mastering Python: 100+ Exercises ! #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/Mastering-Pyth
on-100
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Essential Data Science Courses: Big Data Analytics and Machine Learning
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Check Data Science Courses! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/DSci_Courses -
Mastering Python for Data Science and Machine Learning
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Mastering Python! #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/Mastering-Pyth
on-2023
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Machine Unlearning Survey: Comprehensive Overview Generative AI
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8/ Machine Unlearning Survey – provides a comprehensive survey on machine unlearning in generative AI.
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ThinK: Query-Dependent KV Cache Pruning for Efficiency
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9/ ThinK – proposes an approach to address inefficiencies in KV cache memory consumption; it focuses on the long-context scenarios and the inference side of things; it presents a query-dependent KV cache pruning method to minimize attention weight loss while selectively pruning
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Constrained Chain-of-Thought Improves LLaMA2 Reasoning Accuracy
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4/ Constrained-CoT – limits the model reasoning output length without sacrificing performance; shows that constraining the reasoning of LLaMA2-70b to 100 words improves the accuracy from 36.01% (CoT) to 41.07% (CCoT) on GSM8K, while reducing the average output length by 28 words.
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Adaptive RAG for Conversation Systems: Gating and Confidence
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5/ Adaptive RAG for Conversations Sytems – develops a gating model that predicts if a conversational system requires RAG to improve its responses; shows that RAG-based conversational systems have the potential to generate high-quality responses and high generation confidence.
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COVID-19 Modeling: 7 Data Science Lessons for Curious Consumers
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How to be a Curious Consumer of COVID-19 Modeling: 7 Data Science Lessons from ‘Effectiveness of COVID-19 shelter-in-place orders varied by state’ (Feyman Et Al 2020) https://
bit.ly/45Wl0yh
#AI #MachineLearning #DeepLearning #LLMs #DataScience