Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Machine learning +Machine learning for healthcare -Data clustering +Gradient descent +Machine learning for physical sciences +Learning -Class imbalance +Sargur Srihari -Neuron"

Positive matches

• 0.030 + - Recommender system
• 0.022 + - Ulrike von Luxburg
• 0.022 + - Deep learning
• 0.016 + - How to study
• 0.016 + - Michael Ramscar
• 0.013 + - Future of work
• 0.012 + - Boosting (machine learning)
• 0.011 + - Regular expression
• 0.011 + - Privacy and Deanonymization
• 0.010 + - Poker
• 0.010 + - Jupyter/notebook
• 0.010 + - IPython notebook
• 0.010 + - scikit-learn
• 0.009 + - Regex
• 0.006 + - Decision tree
• 0.006 + - Andrew Ng
• 0.006 + - Paradox
• 0.006 + - Random forest
• 0.005 + - Dimensionality reduction
• 0.005 + - Python#Modules_.26_Libraries

Negative matches

• 0.029 + - Neural network
• 0.003 + - Probability
• 0.001 + - Gender bias
• 0.001 + - sense2vec
• 0.001 + - Natural language processing
• 0.001 + - WordRank
• 0.001 + - GloVe
• 0.001 + - Tim Hopper
• 0.001 + - Gensim
• 0.001 + - Clinical concept embedding
• 0.001 + - Paper/Perozzi2014
• 0.001 + - Google
• 0.001 + - Continuous embedding
• 0.001 + - Chris McCormick
• 0.001 + - Attention (Deep learning)
• 0.000 + - Biomedical natural language processing
• 0.000 + - KoNLPy
• 0.000 + - Sentiment analysis
• 0.000 + - Paper
• 0.000 + - Topic modeling