Playing Minesweeper with Augmented Reasoning The post Tree of Thought Prompting: Teaching LLMs to Think Slowly appeared first on Towards Data Science.
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Explore how Bayesian Optimization outperforms Grid Search in efficiency and performance over binary classification tasks. The post Bayesian Optimization for Hyperparameter Tuning of Deep Learning Models appeared first on Towards Data Science.
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Explaining useful features every data analyst needs The post How Microsoft Power BI Elevated My Data Analysis and Visualization Workflow appeared first on Towards Data Science.
How Microsoft Power BI Elevated My Data Analysis and Visualization Workflow Read More »
Inspired by AlphaGo’s Move 37 — learn how agents explore, exploit, and win The post Reinforcement Learning Made Simple: Build a Q-Learning Agent in Python appeared first on Towards Data Science.
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Why splitting your objectives and your model might be the key to better performance and clearer trade-offs in deep learning. The post Why Regularization Isn’t Enough: A Better Way to Train Neural Networks with Two Objectives appeared first on Towards Data Science.
HuggingFace smolagents framework in action The post Code Agents: The Future of Agentic AI appeared first on Towards Data Science.
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Have you ever wondered what makes Power BI so fast and powerful when it comes to performance? Learn on a real-life example about data model optimization and general rules for reducing data model The post How to Reduce Your Power BI Model Size by 90% appeared first on Towards Data Science.
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These common, basic statistics and machine learning concepts are crucial for landing a data scientist role The post 5 Statistical Concepts You Need to Know Before Your Next Data Science Interview appeared first on Towards Data Science.
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A beginner-friendly guide to PPO and GRPO: simplifying policy optimization in reinforcement learning The post Demystifying Policy Optimization in RL: An Introduction to PPO and GRPO appeared first on Towards Data Science.
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Mathematical theorem and credit transaction prediction using Stochastic / Batch GD The post Prototyping Gradient Descent in Machine Learning appeared first on Towards Data Science.
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