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 +Jupyter +scikit-learn +IPython -Class imbalance -tf-idf"

Positive matches

• 0.060 + - IPython notebook
• 0.034 + - Python/Modules
• 0.032 + - Polynote
• 0.031 + - Python
• 0.024 + - Poker
• 0.023 + - Gradient descent
• 0.023 + - Recommender system
• 0.022 + - Ulrike von Luxburg
• 0.022 + - Data clustering
• 0.020 + - SSH tunneling
• 0.020 + - Decision tree
• 0.014 + - PyTorch
• 0.014 + - Artemy Kolchinsky
• 0.012 + - Learning
• 0.012 + - Random forest
• 0.011 + - Privacy and Deanonymization
• 0.011 + - Regular expression
• 0.010 + - Erik Brynjolfsson
• 0.010 + - Tom Mitchell
• 0.010 + - Artificial intelligence

Negative matches

• 0.023 + - Text analysis
• 0.017 + - Pointwise mutual information
• 0.013 + - NLTK
• 0.013 + - Gensim
• 0.010 + - Lexical feature selection
• 0.003 + - Natural language processing
• 0.001 + - Data analysis
• 0.001 + - word2vec
• 0.001 + - Probability
• 0.001 + - Generative adversarial network
• 0.001 + - Skip-gram
• 0.001 + - Paper/Perozzi2014
• 0.001 + - David Goodger
• 0.001 + - GloVe
• 0.000 + - Paper/Levy2014a
• 0.000 + - sense2vec
• 0.000 + - Recurrent neural network
• 0.000 + - NLP
• 0.000 + - StanfordNLP
• 0.000 + - tfidf