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 +Training dataset -Boosting (machine learning) -scikit-learn -Python"

Positive matches

• 0.080 + - Class imbalance
• 0.024 + - Probability theory
• 0.024 + - Probability distribution
• 0.013 + - Jupyter/notebook
• 0.012 + - Poker
• 0.012 + - IPython notebook
• 0.011 + - Recommender system
• 0.007 + - Neural network
• 0.005 + - Learning
• 0.005 + - Future of work
• 0.004 + - Dimensionality reduction
• 0.004 + - GraphLab
• 0.004 + - Gradient descent
• 0.004 + - Regex
• 0.003 + - Tom M. MItchell
• 0.003 + - Artificial neural network
• 0.003 + - Stability selection
• 0.003 + - Meta learning
• 0.003 + - Kevin Murphy
• 0.003 + - Information theory

Negative matches

• 0.031 + - Deep learning
• 0.020 + - Decision tree
• 0.017 + - Rob Schapire
• 0.016 + - Yoav Freund
• 0.016 + - Ron Meir
• 0.016 + - Pajek
• 0.016 + - tfidf
• 0.010 + - skorch
• 0.009 + - Tim Hopper
• 0.009 + - Python/Modules
• 0.007 + - Lexical feature selection
• 0.006 + - Random forest
• 0.006 + - tf-idf
• 0.006 + - Geovisualization
• 0.005 + - Choropleth
• 0.005 + - Distributed computing
• 0.005 + - Snakemake
• 0.004 + - Pandas (Python)
• 0.004 + - Slope
• 0.004 + - PyTorch