Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Jupyter/notebook +Ron Meir -Simpson's paradox -David Feldman +Lexical feature selection +Rob Schapire -Yoav Freund +Probability, Paradox, and the Reasonable Person Principle +Gibbs' inequality -tf-idf"
Pages related to:
- Peter Norvig
- Automated machine learning
- Paradox
- Travelling salesman problem
- Boosting (machine learning)
- Machine learning
- Information theory
- IPython notebook
- Jupyter/notebook
- Ron Meir
- Lexical feature selection
- Rob Schapire
- Probability, Paradox, and the Reasonable Person Principle
- Gibbs' inequality
but not related to:
Positive matches
- 0.045 + - Probability
- 0.035 + - Kullback–Leibler divergence
- 0.028 + - Class imbalance problem
- 0.027 + - Poker
- 0.022 + - Class imbalance
- 0.021 + - IPython
- 0.018 + - Pointwise mutual information
- 0.017 + - Gradient descent
- 0.014 + - Artemy Kolchinsky
- 0.014 + - Natural language processing
- 0.014 + - SSH tunneling
- 0.014 + - Data science
- 0.013 + - Data analysis
- 0.012 + - Jupyter
- 0.011 + - SSH
- 0.009 + - Python
- 0.009 + - Cross entropy
- 0.009 + - Information Theory, Inference, and Learning Algorithms
- 0.009 + - David MacKay
- 0.007 + - Recommender system
Negative matches
- 0.011 + - tfidf
- 0.010 + - Gensim
- 0.010 + - NLTK
- 0.007 + - scikit-learn
- 0.001 + - Gilles Louppe
- 0.001 + - programming language
- 0.001 + - Paper/Hamilton2016
- 0.001 + - TensorFlow
- 0.000 + - WordRank
- 0.000 + - Continuous embedding
- 0.000 + - PyTorch
- 0.000 + - sense2vec
- 0.000 + - Orthogonal Procrustes problem
- 0.000 + - Paper/Perozzi2014
- 0.000 + - Omer Levy
- 0.000 + - Gender bias
- 0.000 + - Paper/Levy2014a