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 +Yoav Freund +Text analysis -Learning"

Positive matches

• 0.116 + - Class imbalance
• 0.051 + - Lexical feature selection
• 0.033 + - Data analysis
• 0.031 + - word2vec
• 0.025 + - Gradient descent
• 0.023 + - Recommender system
• 0.022 + - Data clustering
• 0.022 + - Ulrike von Luxburg
• 0.022 + - scikit-learn
• 0.022 + - Pointwise mutual information
• 0.021 + - Science
• 0.017 + - Ron Meir
• 0.016 + - Rob Schapire
• 0.015 + - NLTK
• 0.013 + - Regular expression
• 0.013 + - Future of work
• 0.012 + - Privacy and Deanonymization
• 0.010 + - Poker
• 0.010 + - Jupyter/notebook
• 0.009 + - Interdisciplinary research

Negative matches

• 0.016 + - Michael Ramscar
• 0.016 + - How to study
• 0.009 + - Deep learning
• 0.003 + - Probability
• 0.002 + - Jonah Lehrer
• 0.002 + - 유재명
• 0.002 + - Quoc Le
• 0.002 + - Practice
• 0.002 + - Marc'Aurelio Ranzato
• 0.002 + - Jürgen Schmidhuber
• 0.001 + - Research advices
• 0.001 + - Residual Learning
• 0.001 + - Differentiable neural computers
• 0.001 + - Residual leanrning
• 0.001 + - Autoencoder
• 0.001 + - Paper/Vincent2010
• 0.000 + - Keras
• 0.000 + - Thermostat