Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Machine learning +Machine learning for healthcare +Future of work +Jupyter/notebook -Artificial intelligence +scikit-learn -Complex systems"

Positive matches

• 0.126 + - Class imbalance
• 0.033 + - Gradient descent
• 0.032 + - Recommender system
• 0.027 + - IPython notebook
• 0.026 + - Data clustering
• 0.025 + - Ulrike von Luxburg
• 0.022 + - Decision tree
• 0.019 + - Poker
• 0.017 + - IPython
• 0.017 + - tfidf
• 0.016 + - Random forest
• 0.015 + - Boosting (machine learning)
• 0.015 + - Artemy Kolchinsky
• 0.015 + - Learning
• 0.015 + - Jupyter
• 0.012 + - Python/Modules
• 0.012 + - Python
• 0.012 + - Erik Brynjolfsson
• 0.012 + - Tom Mitchell
• 0.012 + - Technological unemployment

Negative matches

• 0.024 + - Nonlinear dynamics
• 0.024 + - Network science
• 0.022 + - Alan Turing
• 0.002 + - Structural hole
• 0.002 + - Aaron Clauset
• 0.002 + - Réka Albert
• 0.002 + - Networkx
• 0.002 + - Contagion
• 0.002 + - Non-backtracking matrix
• 0.002 + - James Fowler
• 0.002 + - Interdependent networks
• 0.002 + - Matthew O. Jackson
• 0.002 + - Conedy
• 0.002 + - Filippo Menczer
• 0.002 + - Self-similarity
• 0.002 + - Robustness of networks
• 0.002 + - Network sampling
• 0.002 + - Multilayer network
• 0.002 + - Random network
• 0.002 + - Temporal network