Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Artificial neural network +Data clustering +Ulrike von Luxburg +Jupyter/notebook +scikit-learn -Poker +tfidf -Machine learning"

Positive matches

• 0.107 + - Class imbalance
• 0.075 + - tf-idf
• 0.027 + - Deep learning
• 0.024 + - IPython notebook
• 0.023 + - Gradient descent
• 0.022 + - Brain network
• 0.019 + - Recommender system
• 0.019 + - Decision tree
• 0.014 + - Artemy Kolchinsky
• 0.013 + - Python
• 0.013 + - Jupyter
• 0.013 + - IPython
• 0.012 + - Random forest
• 0.012 + - skorch
• 0.010 + - Boosting (machine learning)
• 0.009 + - Python/Modules
• 0.009 + - Tim Hopper
• 0.008 + - SSH tunneling
• 0.008 + - Future of work
• 0.007 + - Lexical feature selection

Negative matches

• 0.002 + - Link prediction
• 0.002 + - D3
• 0.002 + - https://developer.mozilla.org/en/JavaScript/Guide
• 0.002 + - Netflix prize
• 0.002 + - Jeff Atwood
• 0.002 + - Cross entropy
• 0.002 + - PCA
• 0.001 + - CoffeeScript
• 0.001 + - jQuery
• 0.001 + - Ron Meir
• 0.001 + - David MacKay
• 0.001 + - Yoshua Bengio
• 0.001 + - Isomap
• 0.001 + - Stability selection
• 0.001 + - Deep generative models
• 0.001 + - Yoav Freund
• 0.001 + - Closure tools
• 0.001 + - Atwood's law
• 0.001 + - Javascript
• 0.001 + - One-shot learning