Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin +Class imbalance +Poker +Gradient descent +Probability, Paradox, and the Reasonable Person Principle +EM algorithm +Artificial neural network -Weka -Neuron"

Positive matches

• 0.050 + - Paradox
• 0.046 + - Probability
• 0.022 + - Brain network
• 0.014 + - Jupyter/notebook
• 0.014 + - IPython notebook
• 0.009 + - Recommender system
• 0.009 + - Boosting (machine learning)
• 0.007 + - Tom M. MItchell
• 0.007 + - GraphLab
• 0.007 + - Cluster analysis
• 0.007 + - Decision tree
• 0.007 + - Training dataset
• 0.007 + - Sargur Srihari
• 0.007 + - Image completion
• 0.007 + - Spatial network
• 0.007 + - One-shot learning
• 0.007 + - Michael I. Jordan
• 0.007 + - https://github.com/JohnLangford/vowpal_wabbit/wiki
• 0.006 + - Machine learning for healthcare
• 0.006 + - Dimensionality reduction

Negative matches

• 0.033 + - Neural network
• 0.003 + - Deep learning
• 0.001 + - Gender bias
• 0.001 + - sense2vec
• 0.001 + - Paper/Levy2014a
• 0.001 + - Long short-term memory
• 0.001 + - Clinical concept embedding
• 0.001 + - Paper/Perozzi2014
• 0.001 + - Chris McCormick
• 0.001 + - Wolfgang Maass
• 0.000 + - Paper/Hochreiter1997
• 0.000 + - Paper/Bahdanau2015
• 0.000 + - Rami Al-Rfou
• 0.000 + - Ivo Danihelka
• 0.000 + - KoNLPy
• 0.000 + - Sentiment analysis
• 0.000 + - Paper
• 0.000 + - Topic modeling
• 0.000 + - Google
• 0.000 + - Continuous embedding