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 -EM algorithm -Ulrike von Luxburg +Paradox +IPython notebook -Neuron"

Positive matches

• 0.108 + - Class imbalance
• 0.031 + - Simpson's paradox
• 0.024 + - Recommender system
• 0.021 + - Jupyter/notebook
• 0.019 + - Poker
• 0.013 + - SSH tunneling
• 0.012 + - IPython
• 0.012 + - Learning
• 0.011 + - Boosting (machine learning)
• 0.011 + - Future of work
• 0.011 + - Data science
• 0.010 + - Regular expression
• 0.010 + - Python
• 0.010 + - Privacy and Deanonymization
• 0.009 + - scikit-learn
• 0.008 + - Regex
• 0.006 + - Deep learning
• 0.006 + - Decision tree
• 0.005 + - Python/Modules
• 0.005 + - Weka

Negative matches

• 0.030 + - Neural network
• 0.002 + - Probability
• 0.001 + - Gender bias
• 0.001 + - sense2vec
• 0.001 + - Natural language processing
• 0.001 + - WordRank
• 0.001 + - GloVe
• 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
• 0.000 + - Sentence embedding