Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Jupyter/notebook +Recommender system +Artemy Kolchinsky +Python +Data science +IPython -Probability, Paradox, and the Reasonable Person Principle -Learning"

Positive matches

• 0.050 + - Lexical feature selection
• 0.035 + - Class imbalance problem
• 0.033 + - Class imbalance
• 0.033 + - Netflix prize
• 0.031 + - Simpson's paradox
• 0.029 + - SSH tunneling
• 0.028 + - Poker
• 0.027 + - Computational social science
• 0.025 + - Python/Modules
• 0.020 + - Pajek
• 0.017 + - Ron Meir
• 0.017 + - Rob Schapire
• 0.017 + - Yoav Freund
• 0.015 + - Gradient descent
• 0.013 + - Jupyter
• 0.013 + - Python/Beautiful soup
• 0.010 + - Industry-Academic Partnership
• 0.009 + - Information Theory, Inference, and Learning Algorithms
• 0.009 + - David Feldman
• 0.009 + - Future of work

Negative matches

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