Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Jupyter/notebook +Recommender system +Artemy Kolchinsky -Poker +Lexical feature selection -Rob Schapire +SSH tunneling +Ron Meir +Python -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
- Recommender system
- Artemy Kolchinsky
- Lexical feature selection
- SSH tunneling
- Ron Meir
- Python
but not related to:
Positive matches
- 0.059 + - Probability, Paradox, and the Reasonable Person Principle
- 0.045 + - Shell
- 0.035 + - Class imbalance problem
- 0.034 + - Class imbalance
- 0.029 + - Netflix prize
- 0.028 + - Simpson's paradox
- 0.028 + - SSH
- 0.026 + - Probability
- 0.025 + - Gradient descent
- 0.022 + - IPython
- 0.022 + - Proxy
- 0.019 + - Pointwise mutual information
- 0.016 + - tf-idf
- 0.015 + - Yoav Freund
- 0.014 + - Data analysis
- 0.014 + - Text analysis
- 0.013 + - Data science
- 0.012 + - Jupyter
- 0.011 + - Geovisualization
- 0.009 + - David Feldman
Negative matches
- 0.009 + - CNN
- 0.005 + - Residual leanrning
- 0.004 + - RNN
- 0.003 + - Meta learning
- 0.002 + - BERT
- 0.002 + - spaCy
- 0.002 + - Latent Dirichlet allocation
- 0.002 + - Dialog act
- 0.002 + - scispaCy
- 0.002 + - Kyunghyun Cho
- 0.002 + - Word embedding
- 0.002 + - Residual Learning
- 0.002 + - Research advices
- 0.001 + - Theano
- 0.001 + - Sentence embedding
- 0.001 + - Archetype
- 0.001 + - KenLM
- 0.001 + - Bing Liu
- 0.001 + - Attention (Deep learning)
- 0.001 + - Word segmentation