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 +Probability +Future of work -Ulrike von Luxburg +Tom Mitchell +Skill gap +Class imbalance -James Bessen +scikit-learn -Learning"

Positive matches

• 0.021 + - Data clustering
• 0.020 + - Gradient descent
• 0.019 + - Decision tree
• 0.019 + - Probability theory
• 0.019 + - Probability distribution
• 0.018 + - Recommender system
• 0.015 + - Boosting (machine learning)
• 0.013 + - Random forest
• 0.011 + - IPython notebook
• 0.011 + - tfidf
• 0.010 + - Python/Modules
• 0.010 + - Jupyter/notebook
• 0.009 + - Regular expression
• 0.009 + - skorch
• 0.009 + - Heidi Shierholz
• 0.009 + - tf-idf
• 0.009 + - Peter Cappelli
• 0.009 + - Erik Brynjolfsson
• 0.009 + - Artificial intelligence
• 0.009 + - Poker

Negative matches

• 0.014 + - Michael Ramscar
• 0.014 + - How to study
• 0.007 + - Deep learning
• 0.001 + - Paradox
• 0.001 + - Jonah Lehrer
• 0.001 + - 유재명
• 0.001 + - Thermostat
• 0.001 + - word2vec
• 0.001 + - Practice
• 0.001 + - Marc'Aurelio Ranzato
• 0.001 + - Yoshua Bengio
• 0.001 + - Residual leanrning
• 0.001 + - Jürgen Schmidhuber
• 0.001 + - Generative adversarial network
• 0.001 + - Residual Learning
• 0.001 + - Differentiable neural computers
• 0.001 + - Research advices
• 0.000 + - Brain and deep learning
• 0.000 + - Quoc Le
• 0.000 + - Convolutional neural network