Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Machine learning -Poker +Jupyter/notebook +Regex +scikit-learn +tfidf +Random forest +Gilles Louppe -Gradient descent"

Positive matches

• 0.106 + - Class imbalance
• 0.082 + - tf-idf
• 0.071 + - Regular expression
• 0.036 + - Decision tree
• 0.022 + - Data clustering
• 0.022 + - Ulrike von Luxburg
• 0.022 + - IPython notebook
• 0.016 + - Recommender system
• 0.016 + - Python/Modules
• 0.014 + - Python
• 0.013 + - IPython
• 0.013 + - Boosting (machine learning)
• 0.013 + - Artemy Kolchinsky
• 0.013 + - skorch
• 0.012 + - Jupyter
• 0.012 + - Tim Hopper
• 0.012 + - Learning
• 0.011 + - Future of work
• 0.010 + - Lexical feature selection
• 0.009 + - SSH tunneling

Negative matches

• 0.030 + - Neural network
• 0.026 + - Neuron
• 0.003 + - Probability
• 0.002 + - Ilya Sutskever
• 0.002 + - Jack Terwilliger
• 0.002 + - word2vec
• 0.001 + - Neural Turing machine
• 0.001 + - Liquid state machine
• 0.001 + - Paper/Graves2014NTM
• 0.001 + - Wolfgang Maass
• 0.000 + - Chris McCormick