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 -Machine learning"

Positive matches

• 0.044 + - Random forest
• 0.040 + - Text analysis
• 0.036 + - Pointwise mutual information
• 0.026 + - Gradient descent
• 0.024 + - tfidf
• 0.021 + - Natural language processing
• 0.020 + - Data analysis
• 0.015 + - NLTK
• 0.014 + - PyTorch
• 0.014 + - Recommender system
• 0.014 + - Gensim
• 0.011 + - Python/Modules
• 0.011 + - Boosting (machine learning)
• 0.011 + - Python
• 0.011 + - Learning
• 0.011 + - Tim Hopper
• 0.010 + - skorch
• 0.010 + - Poker
• 0.010 + - Jupyter/notebook
• 0.010 + - IPython notebook

Negative matches

• 0.003 + - Probability
• 0.002 + - MDS
• 0.002 + - Netflix prize
• 0.002 + - Yoav Freund
• 0.002 + - Atwood's law
• 0.002 + - David MacKay
• 0.002 + - Closure tools
• 0.002 + - Ron Meir
• 0.002 + - Jeff Atwood
• 0.002 + - t-SNE
• 0.002 + - Thermostat
• 0.001 + - Keras
• 0.001 + - UMAP
• 0.001 + - Javascript
• 0.001 + - PCA
• 0.001 + - Isomap
• 0.001 + - TensorFlow
• 0.001 + - LargeVis
• 0.001 + - Rob Schapire
• 0.001 + - Information Theory, Inference, and Learning Algorithms