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 +Class imbalance +Lexical feature selection -Deep learning"

Positive matches

• 0.044 + - Text analysis
• 0.034 + - Pointwise mutual information
• 0.032 + - word2vec
• 0.031 + - tfidf
• 0.027 + - Recommender system
• 0.025 + - Gradient descent
• 0.024 + - scikit-learn
• 0.022 + - Data clustering
• 0.022 + - Ulrike von Luxburg
• 0.020 + - Data analysis
• 0.017 + - Ron Meir
• 0.017 + - Natural language processing
• 0.016 + - Rob Schapire
• 0.016 + - How to study
• 0.016 + - Yoav Freund
• 0.016 + - Michael Ramscar
• 0.014 + - NLTK
• 0.013 + - Regular expression
• 0.013 + - Future of work
• 0.012 + - Privacy and Deanonymization

Negative matches

• 0.018 + - Language
• 0.005 + - Amazon EC2
• 0.004 + - Probability
• 0.004 + - LSTM
• 0.003 + - Paper/Hochreiter1997
• 0.003 + - Evolution strategy
• 0.003 + - Residual leanrning
• 0.002 + - Attention
• 0.002 + - Geoffrey Hinton
• 0.002 + - Deep learning and graphs
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Generative adversarial networks
• 0.002 + - Beer
• 0.002 + - Yann LeCun
• 0.002 + - Paper/Gatys2015
• 0.002 + - Deep generative models
• 0.002 + - Dropout
• 0.002 + - Attention (Deep learning)
• 0.002 + - Modeling animal behaviors with reinforcement learning
• 0.002 + - Q-learning