New from @PacktDataML >> "Building Neo4j-Powered Applications with LLMs: Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AI" Available at http://
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Building Neo4j-Powered Applications with LLMs and AI Frameworks
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Modern Time Series Forecasting with Python and Deep Learning
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Modern #TimeSeries #Forecasting with #Python — Industry-ready #MachineLearning and #DeepLearning time series analysis with PyTorch and PANDAS: http://
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Forecasting Principles and Practice Third Edition by Hyndman
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"#Forecasting: Principles and Practice" (3rd edition) by Rob J Hyndman Read the complete book online here: http://
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Data Engineering with Scala and Spark: Building Streaming and Batch Pipelines
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#DataEngineering with Scala and Spark — Build streaming and batch pipelines that process massive amounts of data: http://
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Machine Learning for Streaming Data with Python Online Solutions
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#MachineLearning for Streaming Data with #Python — build practical online Machine Learning solutions: http://
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Machine Learning for Time Series Forecasting and Anomaly Detection with Python
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#MachineLearning for #TimeSeries with #Python — Forecast trends, Predict the future, Detect anomalies with state-of-the-art #ML methods: http://
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Machine Learning for Data Streams: Essential for Digital Enterprise Speed
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#MachineLearning for Data Streams is imperative for digital enterprises to move at the speed of data!
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Building Agentic AI Systems: Intelligent Autonomous Agents Guide
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From @PacktDataML >> Building Agentic AI Systems: Create intelligent, autonomous AI agents that can reason, plan, and adapt See it at http://
amzn.to/4dvxf8Z 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Understand the foundations and advanced techniques of building intelligent, autonomous AI -
50 Essential Algorithms Every Programmer Should Know
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50 #Algorithms Every Programmer Should Know: http://
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Machine Learning in Microservices: Design, Build, and Run ML Systems
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Machine Learning in Microservices — Productionizing microservices architecture for #MachineLearning solutions: https://
amzn.to/4iIptKB via @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Design, build, and run microservices systems that utilize the full potential of machine learning