Just know stuff (or, how to achieve success in a machine learning PhD) (2023)
📚libraries
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LightGBM Explained
⚖fairness
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From Dataset to DataFrame to Deployed: Your First Project with Pandas & Scikit-learn
kdnuggets.com·2d
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“From Perceptrons to Backpropagation: A Deep Dive into the Foundations of Deep Learning”
pub.towardsai.net·1d
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The 7 Statistical Concepts You Need to Succeed as a Machine Learning Engineer
machinelearningmastery.com·2d
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RL Learning with LoRA: A Diverse Deep Dive
kalomaze.bearblog.dev·10h
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Training-efficient density quantum machine learning
nature.com·1d
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Deep Learning Without Training
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Crash Course to Crack Machine Learning Interview – Part 2: Linear Regression
analyticsvidhya.com·2d
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Noise Injection: Improving Out-of-Distribution Generalization for Limited Size Datasets
arxiv.org·2d
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alright so learned the most used and imp terms in ai space (from @gkcs_)
threadreaderapp.com·4h
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Charting the future of AI, from safer answers to faster thinking
news.mit.edu·2d
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