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 +word2vec +Natural language processing -Deep learning"

Positive matches

• 0.115 + - Class imbalance
• 0.034 + - Text analysis
• 0.027 + - Gradient descent
• 0.025 + - scikit-learn
• 0.024 + - Graph embedding
• 0.024 + - Lexical feature selection
• 0.023 + - Recommender system
• 0.022 + - Ulrike von Luxburg
• 0.022 + - Data clustering
• 0.020 + - Pointwise mutual information
• 0.017 + - Yoav Freund
• 0.017 + - Ron Meir
• 0.017 + - Rob Schapire
• 0.016 + - NLTK
• 0.016 + - CNN
• 0.013 + - Learning
• 0.012 + - Future of work
• 0.012 + - Regular expression
• 0.012 + - Privacy and Deanonymization
• 0.010 + - Poker

Negative matches

• 0.015 + - Language
• 0.006 + - Amazon EC2
• 0.005 + - Attention
• 0.004 + - Probability
• 0.003 + - Modeling animal behaviors with reinforcement learning
• 0.003 + - Q-learning
• 0.002 + - Reinforcement learning
• 0.002 + - Amazon Web Services
• 0.002 + - Brain network
• 0.002 + - Beer
• 0.002 + - Deep learning and graphs
• 0.002 + - Quoc Le
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Yoshua Bengio
• 0.002 + - Generative adversarial networks
• 0.002 + - Autoencoder
• 0.002 + - Geoffrey Hinton
• 0.002 + - Yann LeCun
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Marc'Aurelio Ranzato