Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin +Class imbalance +Poker +Python +IPython +Jupyter/notebook +Weka +Machine learning for physical sciences -Gradient descent"

Positive matches

• 0.049 + - IPython notebook
• 0.028 + - Paradox
• 0.026 + - Python/Modules
• 0.024 + - Probability
• 0.024 + - Probability, Paradox, and the Reasonable Person Principle
• 0.018 + - Pajek
• 0.016 + - Artemy Kolchinsky
• 0.015 + - SSH tunneling
• 0.014 + - Jupyter
• 0.013 + - Recommender system
• 0.009 + - Data science
• 0.008 + - scikit-learn
• 0.008 + - Boosting (machine learning)
• 0.007 + - SSH
• 0.007 + - Future of work
• 0.007 + - Privacy and Deanonymization
• 0.007 + - Learning
• 0.006 + - Random forest
• 0.006 + - Python/doit
• 0.006 + - Python#Modules_.26_Libraries

Negative matches

• 0.033 + - Neural network
• 0.030 + - Neuron
• 0.029 + - Deep learning
• 0.002 + - Ilya Sutskever
• 0.002 + - Liquid state machine
• 0.002 + - Neural Turing machine
• 0.001 + - Jack Terwilliger
• 0.001 + - WordRank
• 0.001 + - Attention (Deep learning)
• 0.001 + - Paper/Hamilton2016
• 0.001 + - Natural language processing
• 0.001 + - Paper/Graves2014NTM