Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin -Probability, Paradox, and the Reasonable Person Principle +Weka +Probability +Decision tree -Naive Bayes classifier +Dimensionality reduction +UMAP -PCA"

Positive matches

• 0.102 + - Class imbalance
• 0.035 + - Random forest
• 0.034 + - Topology
• 0.024 + - Nikolay Oskolkov
• 0.023 + - Topological data analysis
• 0.022 + - Probability theory
• 0.022 + - Probability distribution
• 0.022 + - Flocking
• 0.020 + - tSNE
• 0.019 + - Gradient descent
• 0.012 + - IPython notebook
• 0.012 + - Recommender system
• 0.012 + - Jupyter/notebook
• 0.011 + - Poker
• 0.010 + - Isomap
• 0.009 + - t-SNE
• 0.008 + - MDS
• 0.008 + - Leland McInnes
• 0.008 + - Future of work
• 0.008 + - Boosting (machine learning)

Negative matches

• 0.029 + - Exploratory factor analysis
• 0.029 + - Deep learning
• 0.022 + - Factor analysis
• 0.021 + - Principal component analysis
• 0.002 + - Lior Pachter
• 0.001 + - Hervé Abdi
• 0.001 + - Lynne J. Williams
• 0.001 + - Christopher M. Bishop
• 0.001 + - Michael E. Tipping
• 0.001 + - Cosma Shalizi
• 0.000 + - Jonathon Shlens