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1Robust principal component analysis? | Journal of the ACM
https://dl.acm.org/doi/10.1145/1970392.1970395
2 years ago by @stdiff
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1Discrete dynamic pricing and application of network revenue management for FlixBus | SpringerLink
https://link.springer.com/article/10.1057/s41272-021-00365-4
2 years ago by @stdiff
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1Beware Default Random Forest Importances
https://explained.ai/rf-importance/index.html
4 years ago by @stdiff
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1Welcome to Automating GIS-processes 2017! — Geo-Python - AutoGIS documentation
https://automating-gis-processes.github.io/2017/index.html
4 years ago by @stdiff
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python
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2How to Escape Saddle Points Efficiently – Off the convex path
http://www.offconvex.org/2017/07/19/saddle-efficiency/
4 years ago by @stdiff
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optimization
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1E-commerce Personalization with Elasticsearch - ScienceDirect
https://www.sciencedirect.com/science/article/pii/S1877050919306271
5 years ago by @stdiff
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3CS 224N | Home
http://web.stanford.edu/class/cs224n/
5 years ago by @stdiff
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nlp
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1[1906.10652] Monte Carlo Gradient Estimation in Machine Learning
https://arxiv.org/abs/1906.10652
5 years ago by @stdiff
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1Machine Learning: a Probabilistic Perspective
https://www.cs.ubc.ca/%7Emurphyk/MLbook/
5 years ago by @stdiff
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1Glmnet Vignette
https://web.stanford.edu/~hastie/glmnet/glmnet_alpha.html
7 years ago by @stdiff
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4Bayesian Methods for Hackers
http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/
7 years ago by @stdiff
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2Stanford University CS224d: Deep Learning for Natural Language Processing
http://cs224d.stanford.edu/syllabus.html
7 years ago by @stdiff
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8NLTK Book
http://www.nltk.org/book/
7 years ago by @stdiff
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2Tidy Text Mining with R
http://tidytextmining.com/index.html
8 years ago by @stdiff
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1Recipes for Predictive Modeling: Highly Imbalanced Data - Ironside - Business Analytics. Data Science. Information Management.
https://www.ironsidegroup.com/2016/01/11/recipes-predictive-modeling-highly-imbalanced-data/
8 years ago by @stdiff
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1Neural Networks - A Systematic Introduction
https://page.mi.fu-berlin.de/rojas/neural/
8 years ago by @stdiff
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1160924 Deep Learning Tuningathon
http://www.slideshare.net/takanoriogata1121/160924-deep-learning-tuningathon
8 years ago by @stdiff
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1Practical Guide to deal with Imbalanced Classification Problems in R
https://www.analyticsvidhya.com/blog/2016/03/practical-guide-deal-imbalanced-classification-problems/
8 years ago by @stdiff
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1Generative Art and Hamiltonian Monte Carlo — Talking Machines
http://www.thetalkingmachines.com/blog/2016/8/4/generative-art-and-hamiltonian-monte-carlo
8 years ago by @stdiff
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1Wiley: Data Analysis Using SQL and Excel, 2nd Edition - Gordon S. Linoff
http://eu.wiley.com/WileyCDA/WileyTitle/productCd-111902143X.html
8 years ago by @stdiff
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2Basic Quantum Algorithms
R. Portugal. (2022)cite arxiv:2201.10574Comment: 106 pages.
2 years ago by @stdiff
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quantum-computing
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2Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI
S. Kashani, and A. Ivry. (2021)cite arxiv:2201.00650.
2 years ago by @stdiff
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1Regularizing Transformers With Deep Probabilistic Layers
A. Aguilera, P. Olmos, A. Artés-Rodríguez, and F. Pérez-Cruz. (2021)cite arxiv:2108.10764.
3 years ago by @stdiff
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3Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks
C. Northcutt, A. Athalye, and J. Mueller. (2021)cite arxiv:2103.14749.
3 years ago by @stdiff
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1The mathematics of adversarial attacks in AI -- Why deep learning is unstable despite the existence of stable neural networks
A. Bastounis, A. Hansen, and V. Vlačić. (2021)cite arxiv:2109.06098Comment: 29 pages, 1 figure.
3 years ago by @stdiff
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2A Survey of Transformers
T. Lin, Y. Wang, X. Liu, and X. Qiu. (2021)cite arxiv:2106.04554.
3 years ago by @stdiff
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2How I failed machine learning in medical imaging -- shortcomings and recommendations
G. Varoquaux, and V. Cheplygina. (2021)cite arxiv:2103.10292.
3 years ago by @stdiff
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2SemanticZ at SemEval-2016 Task 3: Ranking Relevant Answers in Community Question Answering Using Semantic Similarity Based on Fine-tuned Word Embeddings
T. Mihaylov, and P. Nakov. (2019)cite arxiv:1911.08743Comment: community question answering, semantic similarity.
3 years ago by @stdiff
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31Attention Is All You Need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. Gomez, L. Kaiser, and I. Polosukhin. (2017)cite arxiv:1706.03762Comment: 15 pages, 5 figures.
4 years ago by @stdiff
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6Reformer: The Efficient Transformer
N. Kitaev, Ł. Kaiser, and A. Levskaya. (2020)cite arxiv:2001.04451Comment: ICLR 2020.
4 years ago by @stdiff
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BibSonomy

bookmarks (hide)23
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1Robust principal component analysis? | Journal of the ACM

1Discrete dynamic pricing and application of network revenue management for FlixBus | SpringerLink

1Beware Default Random Forest Importances

1Welcome to Automating GIS-processes 2017! — Geo-Python - AutoGIS documentation

2How to Escape Saddle Points Efficiently – Off the convex path

1E-commerce Personalization with Elasticsearch - ScienceDirect

3CS 224N | Home

1[1906.10652] Monte Carlo Gradient Estimation in Machine Learning

1Machine Learning: a Probabilistic Perspective

1Glmnet Vignette

4Bayesian Methods for Hackers

2Stanford University CS224d: Deep Learning for Natural Language Processing

8NLTK Book

2Tidy Text Mining with R

1Recipes for Predictive Modeling: Highly Imbalanced Data - Ironside - Business Analytics. Data Science. Information Management.

1Neural Networks - A Systematic Introduction

1160924 Deep Learning Tuningathon

1Practical Guide to deal with Imbalanced Classification Problems in R

1Generative Art and Hamiltonian Monte Carlo — Talking Machines

1Wiley: Data Analysis Using SQL and Excel, 2nd Edition - Gordon S. Linoff

publications (hide)41
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2Basic Quantum Algorithms

2Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI

1Regularizing Transformers With Deep Probabilistic Layers

3Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks

1The mathematics of adversarial attacks in AI -- Why deep learning is unstable despite the existence of stable neural networks

2A Survey of Transformers

2How I failed machine learning in medical imaging -- shortcomings and recommendations

2SemanticZ at SemEval-2016 Task 3: Ranking Relevant Answers in Community Question Answering Using Semantic Similarity Based on Fine-tuned Word Embeddings

31Attention Is All You Need

6Reformer: The Efficient Transformer

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