Search "+Peter Norvig +Automated machine learning +Paradox +Jupyter/notebook -Probability, Paradox, and the Reasonable Person Principle -Poker +IPython notebook +Class imbalance problem +Jupyter +Python/Beautiful soup -Polynote +SSH config +Recommender system -Learning"

Positive matches

• 0.122 + - Machine learning
• 0.103 + - Class imbalance
• 0.089 + - SSH
• 0.085 + - Python
• 0.051 + - Shell
• 0.037 + - IPython
• 0.036 + - Netflix prize
• 0.036 + - Simpson's paradox
• 0.029 + - Travelling salesman problem
• 0.023 + - SSH tunneling
• 0.019 + - Proxy
• 0.017 + - Data science
• 0.015 + - Artemy Kolchinsky
• 0.012 + - Gradient descent
• 0.008 + - Future of work
• 0.007 + - Probability
• 0.006 + - Privacy and Deanonymization
• 0.004 + - https://github.com/JohnLangford/vowpal_wabbit/wiki
• 0.004 + - Machine learning for physical sciences
• 0.004 + - Boosting (machine learning)

Negative matches

• 0.018 + - How to study
• 0.018 + - Michael Ramscar
• 0.016 + - Deep learning
• 0.002 + - Keras
• 0.002 + - Practice
• 0.002 + - Yoshua Bengio
• 0.002 + - Python#Modules_.26_Libraries
• 0.002 + - word2vec
• 0.002 + - Research advices
• 0.002 + - Residual leanrning
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Jonah Lehrer
• 0.002 + - 유재명
• 0.002 + - Autoencoder
• 0.002 + - Thermostat
• 0.002 + - Marc'Aurelio Ranzato
• 0.002 + - Residual Learning
• 0.002 + - Differentiable neural computers
• 0.002 + - Generative adversarial network
• 0.001 + - Random forest