Machine Learning Fundamentals: Everything I Wish I Knew When I Started
dev.to·2d·
Discuss: DEV
📊Embeddings
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Probabilistic Robustness for Free? Revisiting Training via a Benchmark
arxiv.org·2h
📊Embeddings
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Fast, Scalable LDA in C++ with Stochastic Variational Inference
github.com·16h·
Discuss: r/cpp
📊Embeddings
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3 Questions: How AI is helping us monitor and support vulnerable ecosystems
news.mit.edu·10h
💬Natural Language Processing
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Explore More, Learn Better: Parallel MLLM Embeddings under Mutual Information Minimization
arxiv.org·2h
📊Embeddings
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What Are Auto-regressive Models? A Deep Dive and Typical Use Cases
blog.pangeanic.com·19h
💬Natural Language Processing
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5 Fun Data Science Projects for Absolute Beginners
kdnuggets.com·18h
💬Natural Language Processing
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MaGNet: A Mamba Dual-Hypergraph Network for Stock Prediction via Temporal-Causal and Global Relational Learning
arxiv.org·2h
♟️Alpha-Beta Pruning
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Post-training methods for language models
developers.redhat.com·48m
💬Natural Language Processing
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[D][P] PKBoost v2 is out! An entropy-guided boosting library with a focus on drift adaptation and multiclass/regression support.
reddit.com·20h·
Discuss: r/MachineLearning
♟️Alpha-Beta Pruning
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Hyper Hawkes Processes: Interpretable Models of Marked Temporal Point Processes
arxiv.org·2h
📊Embeddings
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KAT-GNN: A Knowledge-Augmented Temporal Graph Neural Network for Risk Prediction in Electronic Health Records
arxiv.org·2h
💬Natural Language Processing
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LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss
machinelearning.apple.com·1d
🎯Bitboards
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Gated DeltaNet (Linear Attention variant in Qwen3-Next and Kimi Linear)
sebastianraschka.com·1d·
Discuss: r/LLM
💬Natural Language Processing
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The Infrastructure of Modern Ranking Systems, Part 3: The MLOps Backbone - From Training to Deployment
shaped.ai·1d
🔗Distributed Systems
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Understanding Support Vector Machines SVM: Origins, Working, and Real-World Applications
dev.to·22h·
Discuss: DEV
📊Embeddings
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Masked Softmax Layers in PyTorch
mcognetta.github.io·15h·
Discuss: Hacker News
♟️Alpha-Beta Pruning
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How Transformer Models Detect Anomalies in System Logs
hackernoon.com·13h
👁️Observability
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Bayesian Natural Gradient Fine-Tuning of CLIP Models via Kalman Filtering
arxiv.org·2h
♟️Alpha-Beta Pruning
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Dynamic Model Selection for Trajectory Prediction via Pairwise Ranking and Meta-Features
arxiv.org·2h
♟️Alpha-Beta Pruning
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