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 +Science policy +Policy -Boosting (machine learning) +Machine learning -Learning"

Positive matches

• 0.102 + - Class imbalance
• 0.036 + - Public health policy
• 0.030 + - Interdisciplinary research
• 0.029 + - Science
• 0.026 + - Research funding
• 0.026 + - Data clustering
• 0.021 + - Gradient descent
• 0.014 + - IPython notebook
• 0.012 + - Poker
• 0.012 + - Jupyter/notebook
• 0.011 + - Recommender system
• 0.011 + - Industry-Academic Partnership
• 0.009 + - Bookshelf
• 0.008 + - scikit-learn
• 0.008 + - Programming interview
• 0.007 + - Future of work
• 0.006 + - Privacy and Deanonymization
• 0.006 + - Data mining
• 0.005 + - Regex
• 0.004 + - Research advices

Negative matches

• 0.018 + - Michael Ramscar
• 0.017 + - How to study
• 0.016 + - Ron Meir
• 0.016 + - Rob Schapire
• 0.016 + - Yoav Freund
• 0.012 + - Deep learning
• 0.002 + - Keras
• 0.002 + - Practice
• 0.002 + - Yoshua Bengio
• 0.002 + - Jonah Lehrer
• 0.002 + - 유재명
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Generative adversarial network
• 0.002 + - Residual Learning
• 0.001 + - Residual leanrning
• 0.001 + - Differentiable neural computers
• 0.000 + - Dimensionality reduction
• 0.000 + - Marc'Aurelio Ranzato
• 0.000 + - word2vec
• 0.000 + - Autoencoder