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) +IPython notebook +Pointwise mutual information -Data clustering +Gradient descent -Lexical feature selection"

Positive matches

• 0.118 + - Class imbalance
• 0.042 + - Text analysis
• 0.033 + - Information theory
• 0.033 + - Neural network
• 0.029 + - Neuron
• 0.025 + - Recommender system
• 0.022 + - Ulrike von Luxburg
• 0.021 + - Jupyter/notebook
• 0.020 + - scikit-learn
• 0.019 + - Poker
• 0.018 + - Yoav Freund
• 0.017 + - Ron Meir
• 0.017 + - Rob Schapire
• 0.015 + - Learning
• 0.013 + - SSH tunneling
• 0.013 + - Regular expression
• 0.013 + - Future of work
• 0.013 + - tfidf
• 0.012 + - IPython
• 0.012 + - Python

Negative matches

• 0.012 + - Data analysis
• 0.012 + - Natural language processing
• 0.003 + - NLP
• 0.002 + - Probability
• 0.002 + - Convolutional neural network
• 0.002 + - BookNLP
• 0.002 + - spaCy
• 0.002 + - Long short-term memory
• 0.001 + - Topic modeling
• 0.001 + - Dialog act
• 0.001 + - Christopher D. Manning
• 0.001 + - Biomedical natural language processing
• 0.001 + - Residual Learning
• 0.001 + - Latent Dirichlet allocation
• 0.001 + - Sentence embedding
• 0.001 + - Topic model
• 0.000 + - scispaCy
• 0.000 + - Sentiment analysis
• 0.000 + - RNN
• 0.000 + - CNN