Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Machine learning +Machine learning for healthcare -Data clustering +Jupyter/notebook +Privacy and Deanonymization +Graph matching +Boosting (machine learning) -Class imbalance -Learning"

Positive matches

• 0.055 + - Pathogen transmission
• 0.038 + - Network alignment
• 0.031 + - Link prediction
• 0.025 + - Gradient descent
• 0.024 + - IPython notebook
• 0.022 + - Ulrike von Luxburg
• 0.021 + - Recommender system
• 0.017 + - Yoav Freund
• 0.017 + - Ron Meir
• 0.016 + - Poker
• 0.016 + - Social network
• 0.015 + - Rob Schapire
• 0.014 + - IPython
• 0.013 + - Jupyter
• 0.013 + - Artemy Kolchinsky
• 0.013 + - Regular expression
• 0.013 + - Future of work
• 0.011 + - SSH tunneling
• 0.009 + - Paradox
• 0.008 + - Regex

Negative matches

• 0.016 + - Michael Ramscar
• 0.016 + - How to study
• 0.009 + - Deep learning
• 0.003 + - Probability
• 0.002 + - Jonah Lehrer
• 0.002 + - 유재명
• 0.002 + - Autoencoder
• 0.002 + - word2vec
• 0.002 + - Practice
• 0.002 + - Yoshua Bengio
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Quoc Le
• 0.001 + - Research advices
• 0.001 + - Residual Learning
• 0.001 + - Differentiable neural computers
• 0.001 + - Residual leanrning
• 0.001 + - Generative adversarial network
• 0.000 + - Marc'Aurelio Ranzato
• 0.000 + - Convolutional neural network
• 0.000 + - Keras