Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Computer science -Ulrike von Luxburg +Science policy +Policy +scikit-learn +Random forest -Lexical feature selection"

Positive matches

• 0.211 + - Machine learning
• 0.120 + - Class imbalance
• 0.036 + - Public health policy
• 0.034 + - Decision tree
• 0.030 + - Interdisciplinary research
• 0.029 + - Science
• 0.029 + - Gradient descent
• 0.026 + - Recommender system
• 0.026 + - Research funding
• 0.025 + - tfidf
• 0.024 + - Data clustering
• 0.019 + - Gilles Louppe
• 0.017 + - skorch
• 0.012 + - Python
• 0.012 + - Learning
• 0.012 + - IPython notebook
• 0.012 + - Boosting (machine learning)
• 0.012 + - Poker
• 0.012 + - Jupyter/notebook
• 0.012 + - Python/Modules

Negative matches

• 0.027 + - Data analysis
• 0.015 + - Pointwise mutual information
• 0.014 + - Natural language processing
• 0.014 + - Text analysis
• 0.006 + - NLP
• 0.002 + - tf-idf
• 0.002 + - Gensim
• 0.002 + - spaCy
• 0.002 + - BookNLP
• 0.002 + - Latent Dirichlet allocation
• 0.002 + - CNN
• 0.002 + - StanfordNLP
• 0.002 + - Word segmentation
• 0.001 + - fastText
• 0.001 + - Sentence embedding
• 0.001 + - Dialog act
• 0.001 + - Sentiment analysis
• 0.001 + - Amazon Elastic Compute Cloud
• 0.001 + - Christopher D. Manning
• 0.001 + - String metric