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) +IPython notebook +Rob Schapire -Learning"

Positive matches

• 0.135 + - Class imbalance
• 0.036 + - Gradient descent
• 0.027 + - Recommender system
• 0.026 + - Data clustering
• 0.026 + - Text analysis
• 0.025 + - Ulrike von Luxburg
• 0.025 + - scikit-learn
• 0.024 + - Jupyter/notebook
• 0.023 + - Pointwise mutual information
• 0.020 + - Poker
• 0.019 + - Ron Meir
• 0.018 + - Yoav Freund
• 0.015 + - tfidf
• 0.015 + - Lexical feature selection
• 0.015 + - Regular expression
• 0.014 + - NLTK
• 0.014 + - Gensim
• 0.014 + - Python
• 0.013 + - Data science
• 0.013 + - SSH tunneling

Negative matches

• 0.018 + - How to study
• 0.018 + - Michael Ramscar
• 0.014 + - Deep learning
• 0.002 + - Jonah Lehrer
• 0.002 + - 유재명
• 0.002 + - TensorFlow
• 0.002 + - Convolutional neural network
• 0.002 + - Marc'Aurelio Ranzato
• 0.002 + - Yoshua Bengio
• 0.002 + - Residual leanrning
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Generative adversarial network
• 0.002 + - Recurrent neural network
• 0.001 + - Keras
• 0.001 + - Brain and deep learning
• 0.001 + - Residual Learning
• 0.001 + - Variational Autoencoder
• 0.001 + - Research advices
• 0.000 + - Probability
• 0.000 + - Differentiable neural computers