Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Computer science -Ulrike von Luxburg +Class imbalance +scikit-learn +tf-idf -Data clustering +Lexical feature selection +Decision tree +Jupyter/notebook -Machine learning"

Positive matches

• 0.041 + - Random forest
• 0.035 + - Text analysis
• 0.032 + - Pointwise mutual information
• 0.027 + - Data analysis
• 0.025 + - tfidf
• 0.021 + - Gradient descent
• 0.021 + - Natural language processing
• 0.020 + - IPython notebook
• 0.018 + - Learning
• 0.016 + - Poker
• 0.016 + - Recommender system
• 0.014 + - NLTK
• 0.014 + - Bookshelf
• 0.013 + - Gensim
• 0.012 + - Artemy Kolchinsky
• 0.012 + - IPython
• 0.012 + - Jupyter
• 0.011 + - Tim Hopper
• 0.010 + - Python
• 0.010 + - Boosting (machine learning)

Negative matches

• 0.002 + - Link prediction
• 0.001 + - PCA
• 0.001 + - MDS
• 0.001 + - jQuery
• 0.001 + - Dropout
• 0.001 + - Yoav Freund
• 0.001 + - Jürgen Schmidhuber
• 0.001 + - Jeff Atwood
• 0.001 + - t-SNE
• 0.001 + - Rob Schapire
• 0.001 + - Closure tools
• 0.001 + - Isomap
• 0.001 + - Netflix prize
• 0.001 + - Meta learning
• 0.001 + - Information Theory, Inference, and Learning Algorithms
• 0.001 + - Ron Meir
• 0.001 + - David MacKay
• 0.001 + - Long short-term memory
• 0.000 + - David Feldman
• 0.000 + - Machine learning for physical sciences