Soner Yıldırım unlocks the power of data with the GitHub API. Dive into analytics by exploring commits, file structures, and learn how to access and analyze valuable insights from one of the largest code repositories. #GitHub #DataAnalysis
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Philippe Ostiguy, M. Sc. explores 2 feature reduction techniques using FRED data — Principal Component Analysis (PCA) and Variable Selection Network (VSN). Check it out! #TimeSeries #Forecasting
Is Less More? Do Deep Learning Forecasting Models Need Feature Reduction?
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As GenAI transitions into the business realm, companies face a pivotal decision: large frontier models or customizable open-source solutions? Gadi Singer weighs the pros and cons of each approach. #GenAI #OpenSource
The AI Developer’s Dilemma: Proprietary AI vs. Open Source Ecosystem
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The improvements seen with the RACE dataset underscore the need for dataset-specific tuning. Explore how PLW can transform model performance in your projects, read more from David Vaughn now! #LLM #ML
To Mask or Not to Mask: The Effect of Prompt Tokens on Instruction Tuning
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Explore the synergy between Isolation Forest and SHAP to uncover the contributing factors of anomalies in your data. Read more from Conor O'Sullivan now! #DataScience #ML
Explaining Anomalies with Isolation Forest and SHAP
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With no clear market leader in the LLM space, innovative libraries like LangChain and LlamaIndex are paving the way for new developments. Discover how to build Agents and engage with this dynamic community in Mauro Di Pietro's article . #GenAI #Python #Ollama #LangChain
GenAI with Python: Build Agents from Scratch (Complete Tutorial)
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Learn how to illustrate Stochastic Gradient Descent on a 3D surface with Plotly, enhancing understanding of key optimization techniques. Read now from Aleksei Rozanov! #Python #PyTorch
What’s Inside a Neural Network?
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🌟 Top Articles from Last Month! 🌟 Dive into our Sept highlights packed with insights on everything from core programming fundamentals to cutting-edge LLM developments. 🖊️ By Steve Hedden, Jiayan Yin, Shaw Talebi, Heiko Hotz + more #DataScience #LLM
Graph RAG, Automated Prompt Engineering, Agent Frameworks, and Other September Must-Reads
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