Gaining Strategic Clarity in AI
[ad_1] Introducing the AI strategy playbook The post Gaining Strategic Clarity in AI appeared first on Towards Data Science. Source ...
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The Secret Power of Data Science in Customer Support
[ad_1] content online focuses on how it can be applied in Product or Marketing — the two most common fields ...
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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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Hands-On Attention Mechanism for Time Series Classification, with Python
[ad_1] is a game changer in Machine Learning. In fact, in the recent history of Deep Learning, the idea of ...
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GAIA: The LLM Agent Benchmark Everyone’s Talking About
[ad_1] were making headlines last week. In Microsoft’s Build 2025, CEO Satya Nadella introduced the vision of an “open agentic ...
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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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Multi-Agent Communication with the A2A Python SDK
[ad_1] If under a rock and you work with AI, you’ve probably heard about Agent2Agent (A2A) Protocol, “an open standard ...
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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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Why Regularization Isn’t Enough: A Better Way to Train Neural Networks with Two Objectives
[ad_1] neural networks, we often juggle two competing objectives. For example, maximizing predictive performance while also meeting a secondary goal like fairness, ...
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Code Agents: The Future of Agentic AI
[ad_1] of AI agents. LLMs are no longer just tools. They’ve become active participants in our lives, boosting productivity and ...
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