How to design and populate Feature Stores for #MachineLearning — Curate, discover, share and serve #ML features at scale: http://
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@kirkdborne
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Design and Populate Feature Stores for Machine Learning at Scale
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[PDF] Extensive Tutorial on #OutlierDetection Techniques: http://
bit.ly/3LzhGxJ Comprehensive textbook on Outlier Analysis: http://
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#MachineLearning on Streaming Data with #Python ————
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Machine Learning for Time Series: Forecasting and Anomaly Detection
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#MachineLearning for #TimeSeries with #Python — Forecast, predict, and detect anomalies with state-of-the-art #ML methods: http://
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Getting Started with #ChatGPT, The Ultimate Beginner's Guide to Use ChatGPT Effectively, Earn Money and Increase Your Productivity 10x: http://
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Modern #GenerativeAI with #ChatGPT and #OpenAI Models — Leverage the capabilities of #LLMs for productivity and innovation: http://
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Tree and Graph Algorithms with Python for Data Science
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#Algorithms on Trees and Graphs (with #Python Code): http://
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Quick Start Guide to Large Language Models: Strategies and Best Practices
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Quick Start Guide to Large Language Models — Strategies and Best Practices for Using #LLMs: http://
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#BigData #DataScience #AI #NLProc #GPT3 #GPT4 #GPT5 #NeuralNetworks #DeepLearning #MachineLearning #Algorithms #ArtificialIntelligence -

LangChain Book: Building LLM Apps with Python
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[New Book!] #GenerativeAI with #LangChain — Build Large Language Model (LLM) apps with #Python, ChatGPT, and other #LLMs: http://
amzn.to/3tiDk60 by @benji1a via @PacktPublishing —————
#AI #DeepLearning #MachineLearning #NLProc #GPT4 #Chatbot #DataScientists #Coding #DataScience -

Vector Search Toolkit for NLP and RAG Solutions with Elastic
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Vector Search for Practitioners with Elastic — A toolkit for building #NLProc solutions for search, observability, and security: http://
amzn.to/3vEkWFe via @PacktPublishing ——
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