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 +Future of work +Erik Brynjolfsson -Recommender system +IPython notebook +Netflix prize -Learning"

Positive matches

• 0.149 + - Machine learning
• 0.088 + - Class imbalance
• 0.023 + - Jupyter/notebook
• 0.022 + - Data clustering
• 0.020 + - Poker
• 0.019 + - Gradient descent
• 0.013 + - Data science
• 0.013 + - SSH tunneling
• 0.012 + - Python
• 0.011 + - IPython
• 0.011 + - Tom Mitchell
• 0.011 + - Artificial intelligence
• 0.011 + - Technological unemployment
• 0.011 + - Skill gap
• 0.010 + - Bookshelf
• 0.008 + - Interdisciplinary research
• 0.007 + - Boosting (machine learning)
• 0.006 + - Programming interview
• 0.006 + - scikit-learn
• 0.006 + - Industry-Academic Partnership

Negative matches

• 0.017 + - Michael Ramscar
• 0.016 + - How to study
• 0.010 + - Deep learning
• 0.002 + - Memorization
• 0.002 + - Keras
• 0.002 + - Practice
• 0.002 + - word2vec
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Jonah Lehrer
• 0.002 + - 유재명
• 0.002 + - Autoencoder
• 0.002 + - Thermostat
• 0.002 + - Convolutional neural network
• 0.002 + - Marc'Aurelio Ranzato
• 0.002 + - Generative adversarial network
• 0.001 + - Residual Learning
• 0.001 + - Residual leanrning
• 0.001 + - Differentiable neural computers
• 0.001 + - Naive Bayes classifier
• 0.001 + - tf-idf