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 +tf-idf +Boosting (machine learning) -Ron Meir +Jupyter/notebook +scikit-learn +Artemy Kolchinsky -Learning"

Positive matches

• 0.120 + - Class imbalance
• 0.027 + - Gradient descent
• 0.027 + - tfidf
• 0.024 + - Text analysis
• 0.023 + - Decision tree
• 0.023 + - IPython notebook
• 0.023 + - Recommender system
• 0.022 + - Data clustering
• 0.022 + - Ulrike von Luxburg
• 0.020 + - Pointwise mutual information
• 0.018 + - Poker
• 0.017 + - Yoav Freund
• 0.017 + - Rob Schapire
• 0.015 + - Lexical feature selection
• 0.015 + - IPython
• 0.014 + - Random forest
• 0.014 + - Python/Modules
• 0.013 + - Privacy and Deanonymization
• 0.013 + - Jupyter
• 0.013 + - Regular expression

Negative matches

• 0.016 + - Michael Ramscar
• 0.016 + - How to study
• 0.009 + - Deep learning
• 0.002 + - Probability
• 0.002 + - Jonah Lehrer
• 0.002 + - 유재명
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Practice
• 0.002 + - Marc'Aurelio Ranzato
• 0.002 + - Autoencoder
• 0.001 + - Research advices
• 0.001 + - Residual Learning
• 0.001 + - Residual leanrning
• 0.001 + - Theano
• 0.000 + - Keras
• 0.000 + - Thermostat
• 0.000 + - word2vec
• 0.000 + - Quoc Le