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) +Gensim +Gradient descent +Yoav Freund +NLTK -Lexical feature selection"

Positive matches

• 0.116 + - Class imbalance
• 0.048 + - tfidf
• 0.033 + - Neural network
• 0.032 + - word2vec
• 0.030 + - Neuron
• 0.025 + - Recommender system
• 0.022 + - Data clustering
• 0.022 + - Ulrike von Luxburg
• 0.020 + - scikit-learn
• 0.019 + - Natural language processing
• 0.017 + - Ron Meir
• 0.017 + - Rob Schapire
• 0.017 + - Text analysis
• 0.015 + - Learning
• 0.013 + - Regular expression
• 0.013 + - Future of work
• 0.012 + - Privacy and Deanonymization
• 0.011 + - Jupyter/notebook
• 0.010 + - Poker
• 0.010 + - IPython notebook

Negative matches

• 0.017 + - Data analysis
• 0.002 + - Probability
• 0.002 + - BookNLP
• 0.001 + - Dialog act
• 0.001 + - Topic modeling
• 0.001 + - Long short-term memory
• 0.001 + - Christopher D. Manning
• 0.001 + - Latent Dirichlet allocation
• 0.001 + - Cross entropy
• 0.001 + - Sentence embedding
• 0.001 + - Topic model
• 0.001 + - CNN
• 0.000 + - RNN
• 0.000 + - KenLM
• 0.000 + - NLP