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 +Jupyter -Gradient descent"

Positive matches

• 0.180 + - Machine learning
• 0.108 + - Class imbalance
• 0.044 + - IPython notebook
• 0.034 + - Polynote
• 0.029 + - IPython
• 0.027 + - Deep learning
• 0.022 + - Brain network
• 0.021 + - Recommender system
• 0.020 + - Decision tree
• 0.014 + - Artemy Kolchinsky
• 0.013 + - Python
• 0.013 + - Random forest
• 0.013 + - tfidf
• 0.011 + - Python/Modules
• 0.011 + - skorch
• 0.010 + - Boosting (machine learning)
• 0.010 + - Tim Hopper
• 0.010 + - tf-idf
• 0.009 + - Data science
• 0.008 + - Future of work

Negative matches

• 0.032 + - Neural network
• 0.030 + - Neuron
• 0.002 + - Liquid state machine
• 0.002 + - Neural Turing machine
• 0.001 + - Jack Terwilliger
• 0.001 + - Ilya Sutskever
• 0.001 + - WordRank
• 0.001 + - Attention (Deep learning)
• 0.001 + - Paper/Hamilton2016
• 0.001 + - Paper/Graves2014NTM
• 0.001 + - Stability selection
• 0.001 + - Dimensionality reduction
• 0.000 + - Natural language processing
• 0.000 + - Recurrent neural network