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 +Artemy Kolchinsky +Brain network +Aging brain -Learning"

Positive matches

• 0.185 + - Machine learning
• 0.108 + - Class imbalance
• 0.024 + - IPython notebook
• 0.023 + - Gradient descent
• 0.021 + - Poker
• 0.020 + - Network similarity
• 0.019 + - Recommender system
• 0.019 + - Caenorhabditis elegans
• 0.018 + - Spatial network
• 0.017 + - Allen Institute for Brain Science
• 0.014 + - Deep learning
• 0.014 + - IPython
• 0.014 + - Jupyter
• 0.011 + - Boosting (machine learning)
• 0.010 + - Multilayer network
• 0.009 + - Data science
• 0.009 + - Brain and deep learning
• 0.009 + - Similarity
• 0.008 + - Paradox
• 0.008 + - scikit-learn

Negative matches

• 0.017 + - Michael Ramscar
• 0.017 + - How to study
• 0.002 + - Jonah Lehrer
• 0.002 + - 유재명
• 0.002 + - Thermostat
• 0.002 + - word2vec
• 0.002 + - Keras
• 0.002 + - Memorization
• 0.002 + - Practice
• 0.002 + - Willpower
• 0.002 + - Jürgen Schmidhuber
• 0.001 + - Research advices
• 0.001 + - Residual leanrning
• 0.001 + - Python#Modules_.26_Libraries
• 0.000 + - Generative adversarial network
• 0.000 + - Convolutional neural network
• 0.000 + - Autoencoder