Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Jupyter/notebook -Rob Schapire +Class imbalance +Ron Meir +Jupyter +Probability, Paradox, and the Reasonable Person Principle +IPython +Data science -Pointwise mutual information"
Pages related to:
- Peter Norvig
- Automated machine learning
- Paradox
- Travelling salesman problem
- Boosting (machine learning)
- Machine learning
- Information theory
- IPython notebook
- Jupyter/notebook
- Class imbalance
- Ron Meir
- Jupyter
- Probability, Paradox, and the Reasonable Person Principle
- IPython
- Data science
but not related to:
Positive matches
- 0.055 + - Class imbalance problem
- 0.051 + - Probability
- 0.030 + - Polynote
- 0.030 + - Python
- 0.029 + - Simpson's paradox
- 0.028 + - Poker
- 0.025 + - Computational social science
- 0.023 + - Python/Modules
- 0.023 + - SSH tunneling
- 0.016 + - Yoav Freund
- 0.014 + - Artemy Kolchinsky
- 0.014 + - Gradient descent
- 0.014 + - SSH
- 0.012 + - Industry-Academic Partnership
- 0.011 + - Recommender system
- 0.011 + - Lexical feature selection
- 0.009 + - Data
- 0.008 + - Interdisciplinary research
- 0.008 + - David Feldman
- 0.007 + - Information Theory, Inference, and Learning Algorithms
Negative matches
- 0.031 + - Text analysis
- 0.002 + - Data analysis
- 0.001 + - spaCy
- 0.001 + - Dialog act
- 0.001 + - StanfordNLP
- 0.001 + - String metric
- 0.001 + - Gensim
- 0.001 + - BookNLP
- 0.001 + - Latent Dirichlet allocation
- 0.001 + - NLTK
- 0.000 + - Word segmentation
- 0.000 + - KenLM
- 0.000 + - Recurrent neural network
- 0.000 + - Word embedding
- 0.000 + - Biomedical natural language processing
- 0.000 + - word2vec
- 0.000 + - Tomas Mikolov
- 0.000 + - Residual Learning
- 0.000 + - Topic modeling