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 +Jupyter +Python -Machine learning"

Positive matches

• 0.104 + - Class imbalance
• 0.042 + - IPython notebook
• 0.032 + - IPython
• 0.031 + - Polynote
• 0.023 + - Deep learning
• 0.021 + - Brain network
• 0.021 + - Decision tree
• 0.019 + - Pajek
• 0.018 + - Gradient descent
• 0.016 + - Recommender system
• 0.014 + - SSH tunneling
• 0.014 + - tfidf
• 0.013 + - Artemy Kolchinsky
• 0.012 + - Python/Modules
• 0.010 + - Random forest
• 0.009 + - tf-idf
• 0.009 + - skorch
• 0.009 + - Boosting (machine learning)
• 0.009 + - Future of work
• 0.008 + - Tim Hopper

Negative matches

• 0.002 + - Probability
• 0.002 + - Netflix prize
• 0.002 + - Cross entropy
• 0.002 + - Information Theory, Inference, and Learning Algorithms
• 0.002 + - Ron Meir
• 0.002 + - t-SNE
• 0.001 + - PCA
• 0.001 + - MDS
• 0.001 + - Yoav Freund
• 0.001 + - Atwood's law
• 0.001 + - David MacKay
• 0.001 + - Rob Schapire
• 0.001 + - Closure tools
• 0.001 + - Jeff Atwood
• 0.001 + - Keras
• 0.001 + - Convolutional neural network
• 0.001 + - Javascript
• 0.001 + - David Feldman
• 0.001 + - Isomap
• 0.001 + - LargeVis