When AI is finally solved they'll laugh at the delusions of 2025.
MACHINE LEARNING
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GPT-5 Performance Gains Across Benchmarks Not Gaming
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The papers I have seen argue that this is true for smaller models but not as much major releases. But the gains are broadly similar against a wide range of benchmarks. And GPT-5 is very similar to other models released around the same time. I don’t think it is mostly gaming.
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The AI Winter That Never Came: GenAI and Traditional AI
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The AI Winter That Never Came: Why GenAI Didn’t Kill Traditional AI linkedin.com/pulse/ai-winter…
→ View original post on X — @iainljbrown, 2025-08-29 22:42 UTC
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Machine Learning Resources for Tabular Data and Neural Networks
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Give Tabular Data some luv Book — #MachineLearning for Tabular Data: XGBoost, Deep Learning, and #AI — at https://
amzn.to/41J8WA6 Neural Networks for Tabular Data: https://
nature.com/articles/s4158
6-024-08328-6
… GitHub Code: https://
github.com/PriorLabs/TabP
FN
… #AI #DataScience #DataScientist #DeepLearning -
Mastering spaCy: Build Advanced NLP Solutions with Custom Components
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Mastering spaCy — Build structured NLP solutions with custom components & models powered by spacy-llm: http://
amzn.to/3QpPfXi v/ @PacktDataML [2nd edition] 𝓦𝓱𝓪𝓽 𝔂𝓸𝓾 𝔀𝓲𝓵𝓵 𝓵𝓮𝓪𝓻𝓷:
Apply transformer models and fine-tune them for specialized NLP tasks
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New LLM Design Patterns Book Guide for AI Systems
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New book from @PacktDataML >> "LLM Design Patterns: A Practical Guide to Building Robust and Efficient AI Systems" See it at http://
amzn.to/4nODl9a -
Building Neo4j-Powered Applications with LLMs New Book Release
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New book from @PacktDataML >> "Building Neo4j-Powered Applications with LLMs: Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AI" Available at http://
amzn.to/4l9lLKO -
Machine Learning Pipelines and Microservices Architecture Demystified
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Data in, intelligence out: https://
infoworld.com/article/225288
9/data-in-intelligence-out-machine-learning-pipelines-demystified.html
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Machine Learning in Microservices — Productionizing microservices architecture for #MachineLearning solutions: http://
amzn.to/4iIptKB v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Design, build, and run microservices systems -
Bayesian Data Analysis: Free PDF and Python Practical Guide
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Bayesian Data Analysis [667-page PDF #statistics eBook]: https://
sites.stat.columbia.edu/gelman/book/
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Do it in #Pythonusing this Practical Guide to Probabilistic Modeling: http://
amzn.to/3w3tq9g v/ @PacktDataML ————
#DataScience #DataScientist #MachineLearning #Inference #StatisticalLearning -
Handling Imbalanced Data: ML and DL Techniques
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Tutorials on Imbalanced Data: https://
analyticsvidhya.com/blog/2021/06/5
-techniques-to-handle-imbalanced-data-for-a-classification-problem/
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#MachineLearning & #DeepLearning Techniques for Handling Imbalanced Data: http://
amzn.to/3Wuch3C v/ @PacktDataML —
Explore the metrics used when classes are imbalanced.
Use imbalanced data in your machine learning