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 +Paradox +IPython +Probability +Learning +How to study -Michael Ramscar -Machine learning"

Positive matches

• 0.089 + - Class imbalance
• 0.041 + - IPython notebook
• 0.034 + - Deep learning
• 0.028 + - Simpson's paradox
• 0.021 + - Poker
• 0.020 + - Gradient descent
• 0.019 + - Python
• 0.019 + - Brain network
• 0.019 + - Probability theory
• 0.019 + - Probability distribution
• 0.018 + - Python/Modules
• 0.013 + - Recommender system
• 0.013 + - Artemy Kolchinsky
• 0.012 + - Jupyter
• 0.011 + - Boosting (machine learning)
• 0.011 + - SSH tunneling
• 0.010 + - Research advices
• 0.009 + - Practice
• 0.009 + - Jonah Lehrer
• 0.009 + - 유재명

Negative matches

• 0.002 + - Machine translation
• 0.001 + - David MacKay
• 0.001 + - Tim Hopper
• 0.001 + - Information Theory, Inference, and Learning Algorithms
• 0.001 + - Netflix prize
• 0.001 + - Leland McInnes
• 0.001 + - Yoav Freund
• 0.001 + - D3
• 0.001 + - Ron Meir
• 0.001 + - Rob Schapire
• 0.001 + - UMAP
• 0.001 + - PCA
• 0.001 + - David Feldman
• 0.001 + - jQuery
• 0.001 + - Natural language processing
• 0.001 + - Geoffrey Hinton
• 0.001 + - t-SNE
• 0.001 + - https://developer.mozilla.org/en/JavaScript/Guide
• 0.001 + - Javascript
• 0.001 + - EM algorithm