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 +Regular expression +Learning +How to study -Deep learning"

Positive matches

• 0.101 + - Class imbalance
• 0.026 + - IPython notebook
• 0.024 + - Data clustering
• 0.024 + - Ulrike von Luxburg
• 0.023 + - Recommender system
• 0.022 + - Gradient descent
• 0.017 + - Michael Ramscar
• 0.014 + - Artemy Kolchinsky
• 0.013 + - Programming interview
• 0.013 + - IPython
• 0.013 + - Javascript
• 0.013 + - Jupyter
• 0.013 + - Prime number
• 0.013 + - HTML
• 0.013 + - Web mining
• 0.011 + - Research advices
• 0.011 + - Practice
• 0.011 + - Memorization
• 0.011 + - Jonah Lehrer
• 0.011 + - 유재명

Negative matches

• 0.014 + - Language
• 0.009 + - Residual leanrning
• 0.006 + - Reinforcement learning
• 0.004 + - Q-learning
• 0.003 + - Amazon EC2
• 0.003 + - Andy Connelly
• 0.002 + - Modeling animal behaviors with reinforcement learning
• 0.002 + - Paper/Hochreiter1997
• 0.002 + - Machine translation
• 0.002 + - Beer
• 0.002 + - Natural language processing
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Yoshua Bengio
• 0.002 + - Yann LeCun
• 0.002 + - Generative adversarial networks
• 0.002 + - Long short-term memory
• 0.002 + - Theano
• 0.002 + - Paper/Gatys2015
• 0.002 + - Geoffrey Hinton
• 0.002 + - Dropout