Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Jupyter/notebook +Data science +Cross entropy +Pointwise mutual information +Class imbalance problem +Lexical feature selection +Data analysis +SSH tunneling -Ron Meir -Natural language processing"
Pages related to:
- Peter Norvig
- Automated machine learning
- Paradox
- Travelling salesman problem
- Boosting (machine learning)
- Machine learning
- Information theory
- IPython notebook
- Jupyter/notebook
- Data science
- Cross entropy
- Pointwise mutual information
- Class imbalance problem
- Lexical feature selection
- Data analysis
- SSH tunneling
but not related to:
Positive matches
- 0.082 + - Class imbalance
- 0.055 + - Text analysis
- 0.052 + - Probability, Paradox, and the Reasonable Person Principle
- 0.038 + - Shell
- 0.030 + - SSH
- 0.028 + - Simpson's paradox
- 0.024 + - IPython
- 0.024 + - Interdisciplinary research
- 0.023 + - Industry-Academic Partnership
- 0.023 + - Probability
- 0.023 + - Poker
- 0.022 + - Computational social science
- 0.020 + - Proxy
- 0.019 + - tf-idf
- 0.016 + - Gradient descent
- 0.015 + - Rob Schapire
- 0.015 + - Yoav Freund
- 0.014 + - Artemy Kolchinsky
- 0.014 + - Science
- 0.012 + - Jupyter
Negative matches
- 0.009 + - CNN
- 0.006 + - Residual Learning
- 0.005 + - RNN
- 0.003 + - Residual leanrning
- 0.002 + - BERT
- 0.002 + - scispaCy
- 0.002 + - Research advices
- 0.002 + - Sentiment analysis
- 0.002 + - Topic modeling
- 0.001 + - Machine translation
- 0.001 + - NLP
- 0.001 + - Long short-term memory
- 0.001 + - Paper/Cooijmans2016
- 0.001 + - Christopher D. Manning
- 0.001 + - KoNLPy
- 0.001 + - fastText
- 0.001 + - Word embedding
- 0.001 + - Paper/Gatys2015
- 0.001 + - Tomas Mikolov
- 0.001 + - String metric