Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Artificial neural network +Data clustering +Ulrike von Luxburg +Jupyter/notebook +scikit-learn -Poker -Learning"

Positive matches

• 0.205 + - Machine learning
• 0.121 + - Class imbalance
• 0.028 + - Gradient descent
• 0.028 + - IPython notebook
• 0.024 + - Brain network
• 0.021 + - Recommender system
• 0.019 + - tfidf
• 0.018 + - Decision tree
• 0.015 + - IPython
• 0.014 + - Jupyter
• 0.014 + - Artemy Kolchinsky
• 0.013 + - Python
• 0.012 + - Random forest
• 0.012 + - SSH tunneling
• 0.011 + - skorch
• 0.011 + - Python/Modules
• 0.010 + - tf-idf
• 0.010 + - Tim Hopper
• 0.010 + - Boosting (machine learning)
• 0.010 + - Deep learning

Negative matches

• 0.018 + - Michael Ramscar
• 0.018 + - How to study
• 0.002 + - Jonah Lehrer
• 0.002 + - 유재명
• 0.002 + - Thermostat
• 0.002 + - Practice
• 0.002 + - Yoshua Bengio
• 0.002 + - Python#Modules_.26_Libraries
• 0.001 + - Research advices
• 0.001 + - Residual leanrning
• 0.001 + - Dimensionality reduction
• 0.001 + - Jürgen Schmidhuber
• 0.001 + - Marc'Aurelio Ranzato
• 0.000 + - Keras
• 0.000 + - One-shot learning
• 0.000 + - word2vec