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) +Learning +Gensim +Data clustering -Deep learning"

Positive matches

• 0.125 + - Class imbalance
• 0.036 + - tfidf
• 0.035 + - word2vec
• 0.030 + - Gradient descent
• 0.030 + - Recommender system
• 0.028 + - Text analysis
• 0.025 + - scikit-learn
• 0.024 + - Ulrike von Luxburg
• 0.021 + - Pointwise mutual information
• 0.019 + - Lexical feature selection
• 0.018 + - Rob Schapire
• 0.018 + - Ron Meir
• 0.017 + - How to study
• 0.017 + - Yoav Freund
• 0.017 + - Michael Ramscar
• 0.015 + - Privacy and Deanonymization
• 0.013 + - NLTK
• 0.012 + - Future of work
• 0.011 + - Poker
• 0.011 + - Jupyter/notebook

Negative matches

• 0.023 + - Language
• 0.007 + - Residual leanrning
• 0.004 + - RNN
• 0.004 + - Amazon EC2
• 0.003 + - Reinforcement learning
• 0.002 + - Cecilia Mascolo
• 0.002 + - Q-learning
• 0.002 + - Machine translation
• 0.002 + - Deep generative models
• 0.002 + - Beer
• 0.002 + - Quoc Le
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Yoshua Bengio
• 0.002 + - Long short-term memory
• 0.002 + - Generative adversarial networks
• 0.002 + - Yann LeCun
• 0.002 + - Paper/Gatys2015
• 0.002 + - Geoffrey Hinton
• 0.002 + - Dropout
• 0.002 + - Sentiment analysis