Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Computer science -Ulrike von Luxburg +Future of work +Poker +scikit-learn +skorch -Tim Hopper +Gradient descent -tf-idf"

Positive matches

• 0.215 + - Machine learning
• 0.095 + - Class imbalance
• 0.045 + - PyTorch
• 0.032 + - Neural network
• 0.030 + - Neuron
• 0.029 + - Decision tree
• 0.021 + - Data clustering
• 0.017 + - Recommender system
• 0.013 + - Random forest
• 0.012 + - Python/Modules
• 0.012 + - IPython notebook
• 0.011 + - Jupyter/notebook
• 0.010 + - Erik Brynjolfsson
• 0.010 + - Tom Mitchell
• 0.010 + - Artificial intelligence
• 0.010 + - Technological unemployment
• 0.010 + - Skill gap
• 0.010 + - Bookshelf
• 0.010 + - Python
• 0.009 + - tfidf

Negative matches

• 0.023 + - Text analysis
• 0.015 + - Pointwise mutual information
• 0.013 + - Gensim
• 0.012 + - NLTK
• 0.004 + - Lexical feature selection
• 0.003 + - Probability
• 0.002 + - Data analysis
• 0.001 + - Convolutional neural network
• 0.001 + - Paper/Perozzi2014
• 0.001 + - Skip-gram
• 0.001 + - GloVe
• 0.001 + - sense2vec
• 0.000 + - TensorFlow
• 0.000 + - StanfordNLP
• 0.000 + - NLP
• 0.000 + - RNN
• 0.000 + - WordRank
• 0.000 + - Long short-term memory
• 0.000 + - programming language
• 0.000 + - Steven Skiena