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Lessons Learned After 6.5 Years Of Machine Learning

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Sign in Sign out Submit an Article Latest Editor’s Picks Deep Dives Newsletter Write For TDS Toggle Mobile Navigation LinkedIn X Toggle Search Search Machine Learning Lessons Learned After 6.5 For me, it was a great time to start learning machine learning, because the field was moving so fast that there was always something new.

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Build Interactive Machine Learning Apps with Gradio

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Make sure to check out Hugging Face Spaces for a wide range of machine learning applications where you can learn from others by examining their code and share your work with the community. If you found this article valuable, please consider sharing it with your network.

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Researchers Use AI in Pursuit of ALS Treatments

insideBIGDATA

A team of researchers from Lawrence Livermore National Laboratory (LLNL), Stanford University and the University of California, Los Angeles (UCLA) are using artificial intelligence and machine learning to try to […]

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10 GitHub Repositories for Mastering Agents and MCPs

KDnuggets

They are fundamental to modern artificial intelligence applications, ranging from chatbots to complex multi-agent systems. Learn how to build your own agentic application and start using AI the right way. Abid Ali Awan ( @1abidaliawan ) is a certified data scientist professional who loves building machine learning models.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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I Won $10,000 in a Machine Learning Competition — Here’s My Complete Strategy

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In this post, I’ll show you exactly how I did it with detailed explanations and Python code snippets, so you can replicate this approach for your next machine learning project or competition. The world’s leading publication for data science, AI, and ML professionals.

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This Week’s Top 4 Research Papers in Generative AI Research (7 July- 14 July 2025)

Data Science Dojo

Generative AI research is rapidly transforming the landscape of artificial intelligence, driving innovation in large language models, AI agents, and multimodal systems. This is a significant improvement in benchmark evaluation for machine learning automation. on MLE-bench lite , up from 39.6%.