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 +scikit-learn +tfidf +Python -Ulrike von Luxburg -Learning"

Positive matches

• 0.098 + - Class imbalance
• 0.075 + - tf-idf
• 0.070 + - Regular expression
• 0.024 + - IPython notebook
• 0.023 + - Decision tree
• 0.022 + - Data clustering
• 0.020 + - Gradient descent
• 0.018 + - Pajek
• 0.015 + - IPython
• 0.015 + - Recommender system
• 0.015 + - Python/Modules
• 0.014 + - Random forest
• 0.013 + - Artemy Kolchinsky
• 0.013 + - skorch
• 0.012 + - Jupyter
• 0.010 + - Future of work
• 0.010 + - SSH tunneling
• 0.010 + - Boosting (machine learning)
• 0.010 + - Tim Hopper
• 0.008 + - Privacy and Deanonymization

Negative matches

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