| | RecSys 2018 Recap (eggie5.com) |
| 1 point by eggie5 on Oct 8, 2018 | past |
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| | NCE: Noise-Contrastive Estimation Loss (eggie5.com) |
| 2 points by eggie5 on Oct 6, 2018 | past |
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| | Factorization Machines (eggie5.com) |
| 1 point by eggie5 on Sept 21, 2018 | past |
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| | Learning to Rank with Siamese Networks and Pairwise Data (eggie5.com) |
| 1 point by eggie5 on March 13, 2018 | past |
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| | Locality-sensitive hashing (LSH) (eggie5.com) |
| 1 point by eggie5 on Nov 10, 2017 | past |
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| | Transfer Learning Video (eggie5.com) |
| 3 points by eggie5 on Oct 20, 2017 | past |
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| | Hybrid Recommender Systems Talk (eggie5.com) |
| 1 point by eggie5 on Sept 7, 2017 | past |
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| | Transfer Learning on Deep CNN Architectures (eggie5.com) |
| 1 point by eggie5 on Sept 4, 2017 | past |
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| | Nightmare Eigenface (eggie5.com) |
| 2 points by eggie5 on July 11, 2017 | past |
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| | Bias-Variance Tradeoff (eggie5.com) |
| 3 points by eggie5 on June 16, 2017 | past |
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| | SVD and PCA: connections? (eggie5.com) |
| 1 point by eggie5 on June 15, 2017 | past |
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| | Binomial Distribution (eggie5.com) |
| 1 point by eggie5 on May 19, 2017 | past |
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| | Feature Selection in Machine Learning (eggie5.com) |
| 1 point by eggie5 on May 19, 2017 | past |
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| | SGD vs. ALS for Matrix Factorization (eggie5.com) |
| 1 point by eggie5 on May 19, 2017 | past |
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| | Stepwise feature selection in machine learning (eggie5.com) |
| 1 point by eggie5 on April 28, 2017 | past |
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| | Linear Regression Assumptions (eggie5.com) |
| 2 points by eggie5 on April 17, 2017 | past |
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| | Show HN: Visualize 4096D CNN image features in 2D using t-sne (eggie5.com) |
| 1 point by eggie5 on March 18, 2017 | past |
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| | A quick background recommender systems including the BPR algorithm (eggie5.com) |
| 4 points by eggie5 on Feb 21, 2017 | past | 1 comment |
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| | Model Evaulation: Unbalanced Datasets (eggie5.com) |
| 1 point by eggie5 on Feb 7, 2017 | past |
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| | When when building a ML model, extract the test set before you scale the data (eggie5.com) |
| 2 points by eggie5 on Jan 24, 2017 | past |
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| | A quick look at regularization in machine learning models (eggie5.com) |
| 2 points by eggie5 on Dec 15, 2016 | past |
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| | Gradient Descent (eggie5.com) |
| 1 point by eggie5 on Nov 25, 2016 | past |
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| | Multinomial Logistic Classification (eggie5.com) |
| 2 points by eggie5 on Nov 24, 2016 | past |
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| | Kubernetes API (eggie5.com) |
| 2 points by eggie5 on Nov 18, 2016 | past |
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| | ETL Data Matching (eggie5.com) |
| 4 points by eggie5 on Nov 12, 2016 | past |
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| | Stateful Kubernetes Pods (eggie5.com) |
| 1 point by eggie5 on Nov 9, 2016 | past |
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| | DCT Transform and Quantization and Encoding = JPEG Compression (eggie5.com) |
| 3 points by eggie5 on Nov 5, 2016 | past |
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| | Image Encoding with Matlab (eggie5.com) |
| 3 points by eggie5 on Nov 5, 2016 | past |
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| | MPEG Motion Estimation in Matlab (eggie5.com) |
| 3 points by eggie5 on Nov 4, 2016 | past |
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| | Deploy a full rails app with Kubernetes (eggie5.com) |
| 2 points by eggie5 on Nov 4, 2016 | past |
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| More |