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 +Future of work +Jupyter/notebook +Jupyter +scikit-learn +IPython -Tim Hopper -Learning"

Positive matches

• 0.108 + - Class imbalance
• 0.059 + - IPython notebook
• 0.034 + - Python/Modules
• 0.032 + - Python
• 0.032 + - Polynote
• 0.025 + - Poker
• 0.023 + - Gradient descent
• 0.023 + - Recommender system
• 0.022 + - Data clustering
• 0.022 + - Ulrike von Luxburg
• 0.022 + - Decision tree
• 0.018 + - SSH tunneling
• 0.015 + - PyTorch
• 0.014 + - Artemy Kolchinsky
• 0.013 + - Random forest
• 0.011 + - tf-idf
• 0.011 + - tfidf
• 0.011 + - Privacy and Deanonymization
• 0.011 + - Regular expression
• 0.010 + - Erik Brynjolfsson

Negative matches

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