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 +Poker +Neural network -Neuron"

Positive matches

• 0.106 + - Class imbalance
• 0.025 + - Gradient descent
• 0.024 + - Probability theory
• 0.024 + - Probability distribution
• 0.020 + - Paper/Srivastava2014
• 0.016 + - IPython notebook
• 0.013 + - Jupyter/notebook
• 0.012 + - Recommender system
• 0.011 + - word2vec
• 0.010 + - Boosting (machine learning)
• 0.010 + - Learning
• 0.009 + - Liquid state machine
• 0.008 + - Neural Turing machine
• 0.008 + - Recurrent neural network
• 0.007 + - Jack Terwilliger
• 0.007 + - Ilya Sutskever
• 0.007 + - Future of work
• 0.006 + - Privacy and Deanonymization
• 0.006 + - Graph embedding
• 0.006 + - Dropout

Negative matches

• 0.033 + - Deep learning
• 0.001 + - Gender bias
• 0.001 + - Long short-term memory
• 0.001 + - GloVe
• 0.001 + - Chris McCormick
• 0.001 + - Clinical concept embedding
• 0.000 + - Christopher D. Manning
• 0.000 + - Rami Al-Rfou
• 0.000 + - KoNLPy
• 0.000 + - Topic modeling
• 0.000 + - Paper/Levy2014a
• 0.000 + - Paper/Perozzi2014