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 +Learning +Ulrike von Luxburg +Erik Brynjolfsson -How to study"

Positive matches

• 0.113 + - Class imbalance
• 0.030 + - Recommender system
• 0.027 + - Gradient descent
• 0.024 + - IPython notebook
• 0.024 + - Deep learning
• 0.024 + - Data clustering
• 0.021 + - Poker
• 0.017 + - Michael Ramscar
• 0.014 + - Artemy Kolchinsky
• 0.014 + - IPython
• 0.014 + - Jupyter
• 0.013 + - Privacy and Deanonymization
• 0.012 + - Boosting (machine learning)
• 0.012 + - scikit-learn
• 0.011 + - Tom Mitchell
• 0.011 + - Artificial intelligence
• 0.011 + - Technological unemployment
• 0.011 + - Skill gap
• 0.009 + - Data science
• 0.008 + - Regular expression

Negative matches

• 0.013 + - Programming interview
• 0.008 + - Willpower
• 0.008 + - Memorization
• 0.008 + - Practice
• 0.008 + - Jonah Lehrer
• 0.008 + - 유재명
• 0.008 + - Research advices
• 0.003 + - Home
• 0.002 + - Science
• 0.002 + - Uri Alon
• 0.002 + - Jason Hong
• 0.002 + - Matt Welse
• 0.002 + - Teaching
• 0.002 + - Murat Demirbas
• 0.002 + - Matt Welsh
• 0.002 + - Shriram Krishnamurthi
• 0.002 + - Prosanta Chakrabarty
• 0.002 + - Richard Hamming
• 0.002 + - Lada Adamic
• 0.002 + - Leitner system