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 +Class imbalance +scikit-learn +tf-idf +Probability -NLTK"

Positive matches

• 0.230 + - Machine learning
• 0.028 + - Text analysis
• 0.025 + - Gradient descent
• 0.024 + - Data clustering
• 0.024 + - Probability theory
• 0.024 + - Probability distribution
• 0.023 + - Decision tree
• 0.022 + - Recommender system
• 0.015 + - Random forest
• 0.014 + - Gensim
• 0.013 + - IPython notebook
• 0.012 + - tfidf
• 0.012 + - Jupyter/notebook
• 0.012 + - skorch
• 0.012 + - Boosting (machine learning)
• 0.012 + - Poker
• 0.012 + - Tim Hopper
• 0.011 + - Interdisciplinary research
• 0.011 + - Python
• 0.011 + - Learning

Negative matches

• 0.022 + - Natural language processing
• 0.002 + - Biomedical natural language processing
• 0.002 + - Paper/Gatys2015
• 0.001 + - StanfordNLP
• 0.001 + - CNN
• 0.001 + - Residual Learning
• 0.001 + - spaCy
• 0.001 + - Convolutional neural network
• 0.001 + - Amazon Elastic Compute Cloud
• 0.001 + - scispaCy
• 0.001 + - Attention (Deep learning)
• 0.001 + - NLP
• 0.000 + - RNN
• 0.000 + - Cecilia Mascolo
• 0.000 + - Archetype
• 0.000 + - Long short-term memory