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 +tf-idf +Boosting (machine learning) +Gensim +tfidf +Rob Schapire -Learning"

Positive matches

• 0.124 + - Class imbalance
• 0.035 + - word2vec
• 0.030 + - Text analysis
• 0.030 + - Gradient descent
• 0.030 + - Recommender system
• 0.027 + - scikit-learn
• 0.024 + - Data clustering
• 0.024 + - Ulrike von Luxburg
• 0.022 + - Lexical feature selection
• 0.020 + - Pointwise mutual information
• 0.018 + - Ron Meir
• 0.018 + - Yoav Freund
• 0.015 + - Privacy and Deanonymization
• 0.015 + - NLTK
• 0.013 + - IPython notebook
• 0.011 + - Poker
• 0.011 + - Jupyter/notebook
• 0.011 + - Regular expression
• 0.009 + - Future of work
• 0.008 + - Regex

Negative matches

• 0.017 + - How to study
• 0.017 + - Michael Ramscar
• 0.009 + - Deep learning
• 0.002 + - Jonah Lehrer
• 0.002 + - 유재명
• 0.002 + - Autoencoder
• 0.002 + - Thermostat
• 0.002 + - Memorization
• 0.002 + - Practice
• 0.002 + - Convolutional neural network
• 0.002 + - Marc'Aurelio Ranzato
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Research advices
• 0.001 + - Generative adversarial network
• 0.001 + - Differentiable neural computers
• 0.001 + - Residual leanrning
• 0.001 + - Residual Learning
• 0.000 + - Keras