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 -Poker +Jupyter/notebook +Regex +SSH tunneling +Artemy Kolchinsky +Ulrike von Luxburg +Jupyter -Learning"

Positive matches

• 0.093 + - Class imbalance
• 0.069 + - Regular expression
• 0.060 + - IPython notebook
• 0.048 + - Shell
• 0.032 + - IPython
• 0.032 + - Polynote
• 0.025 + - SSH
• 0.022 + - Data clustering
• 0.022 + - Proxy
• 0.019 + - Gradient descent
• 0.014 + - Recommender system
• 0.011 + - Future of work
• 0.010 + - Paradox
• 0.008 + - Boosting (machine learning)
• 0.007 + - Privacy and Deanonymization
• 0.006 + - scikit-learn
• 0.005 + - Random forest
• 0.005 + - Data science
• 0.005 + - GraphLab
• 0.005 + - Naive Bayes classifier

Negative matches

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