Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Artificial neural network +Data clustering +Ulrike von Luxburg +Jupyter/notebook +scikit-learn -Poker +tfidf +tf-idf +Class imbalance -NLTK"

Positive matches

• 0.216 + - Machine learning
• 0.026 + - Gradient descent
• 0.022 + - Deep learning
• 0.020 + - IPython notebook
• 0.020 + - Brain network
• 0.018 + - Text analysis
• 0.017 + - Learning
• 0.015 + - Random forest
• 0.015 + - Recommender system
• 0.014 + - Pointwise mutual information
• 0.013 + - Gensim
• 0.012 + - IPython
• 0.012 + - Boosting (machine learning)
• 0.012 + - Artemy Kolchinsky
• 0.012 + - Jupyter
• 0.010 + - Decision tree
• 0.010 + - Tim Hopper
• 0.010 + - Python
• 0.009 + - skorch
• 0.008 + - Lexical feature selection

Negative matches

• 0.026 + - Natural language processing
• 0.004 + - StanfordNLP
• 0.003 + - NLP
• 0.002 + - Biomedical natural language processing
• 0.001 + - scispaCy
• 0.001 + - spaCy
• 0.001 + - CNN
• 0.000 + - Generative adversarial networks
• 0.000 + - RNN
• 0.000 + - Musical composition
• 0.000 + - Recurrent neural network
• 0.000 + - Residual leanrning
• 0.000 + - Attention
• 0.000 + - Computer science
• 0.000 + - Paper/Gatys2015
• 0.000 + - Unemployment
• 0.000 + - Reinforcement learning