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 +Jupyter/notebook +Gradient descent +Boosting (machine learning) +Neural network -Artemy Kolchinsky +Recommender system -Poker -Recurrent neural network"

Positive matches

• 0.244 + - Machine learning
• 0.112 + - Class imbalance
• 0.031 + - Netflix prize
• 0.030 + - Neuron
• 0.023 + - IPython notebook
• 0.021 + - Paper/Srivastava2014
• 0.021 + - Ulrike von Luxburg
• 0.021 + - Data clustering
• 0.016 + - Ron Meir
• 0.016 + - Yoav Freund
• 0.016 + - Rob Schapire
• 0.015 + - Learning
• 0.014 + - Future of work
• 0.014 + - SSH tunneling
• 0.012 + - Jupyter
• 0.012 + - IPython
• 0.010 + - Bookshelf
• 0.009 + - Neural Turing machine
• 0.009 + - Jack Terwilliger
• 0.009 + - word2vec

Negative matches

• 0.010 + - Computational creativity
• 0.008 + - Long short-term memory
• 0.008 + - Musical composition
• 0.008 + - RNN
• 0.007 + - Attention (Deep learning)
• 0.005 + - Tomas Mikolov
• 0.004 + - Attention
• 0.004 + - Natural language processing
• 0.003 + - Deep learning
• 0.003 + - LSTM
• 0.003 + - Probability
• 0.002 + - StanfordNLP
• 0.002 + - Convolutional neural network
• 0.002 + - scispaCy
• 0.001 + - Amazon Elastic Compute Cloud
• 0.001 + - fastText
• 0.001 + - NLP
• 0.001 + - Residual Learning
• 0.001 + - Paper/Hochreiter1997
• 0.001 + - Language