Agentic RAG Applications: Company Knowledge Slack Agents
[ad_1] I that most companies would have built or implemented their own Rag agents by now. An AI knowledge agent ...
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From Data to Stories: Code Agents for KPI Narratives
[ad_1] , we often need to investigate what’s going on with KPIs: whether we’re reacting to anomalies on our dashboards ...
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Bayesian Optimization for Hyperparameter Tuning of Deep Learning Models
[ad_1] to tune hyperparamters of deep learning models (Keras Sequential model), in comparison with a traditional approach — Grid Search. Bayesian Optimization ...
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Estimating Product-Level Price Elasticities Using Hierarchical Bayesian
[ad_1] In this article, I will introduce you to hierarchical Bayesian (HB) modelling, a flexible approach to automatically combine the ...
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Multiple Linear Regression Analysis | Towards Data Science
[ad_1] full code for this example at the bottom of this post. Multiple regression is used when your response variable ...
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Understanding Random Forest using Python (scikit-learn)
[ad_1] trees are a popular supervised learning algorithm with benefits that include being able to be used for both regression ...
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How to Set the Number of Trees in Random Forest
[ad_1] Scientific publication T. M. Lange, M. Gültas, A. O. Schmitt & F. Heinrich (2025). optRF: Optimising random forest stability ...
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Google’s New AI System Outperforms Physicians in Complex Diagnoses
[ad_1] going to the doctor with a baffling set of symptoms. Getting the right diagnosis quickly is crucial, but sometimes ...
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No More Tableau Downtime: Metadata API for Proactive Data Health
[ad_1] In today’s world, the reliability of data solutions is everything. When we build dashboards and reports, one expects that ...
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Mastering Hadoop, Part 3: Hadoop Ecosystem: Get the most out of your cluster
[ad_1] As we have already seen with the basic components (Part 1, Part 2), the Hadoop ecosystem is constantly evolving ...
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