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 +Probability +scikit-learn +Learning +tfidf +Ulrike von Luxburg +How to study -Python/Modules"

Positive matches

• 0.098 + - Class imbalance
• 0.066 + - tf-idf
• 0.021 + - IPython notebook
• 0.021 + - Recommender system
• 0.020 + - Decision tree
• 0.020 + - Data clustering
• 0.019 + - Gradient descent
• 0.019 + - Deep learning
• 0.019 + - Probability theory
• 0.019 + - Probability distribution
• 0.018 + - Boosting (machine learning)
• 0.015 + - Poker
• 0.014 + - Random forest
• 0.014 + - Michael Ramscar
• 0.012 + - Lexical feature selection
• 0.011 + - Artemy Kolchinsky
• 0.011 + - Jupyter
• 0.011 + - IPython
• 0.011 + - skorch
• 0.010 + - Research advices

Negative matches

• 0.005 + - Python/Sphinx
• 0.004 + - Python/Debugging
• 0.004 + - Beautiful soup (Python)
• 0.003 + - Python/Black
• 0.003 + - Tox
• 0.003 + - Python/nose
• 0.003 + - SQLAlchemy
• 0.003 + - pip
• 0.003 + - numpy
• 0.003 + - Python/Pandas
• 0.003 + - Geocoding libraries
• 0.003 + - StatsModel
• 0.003 + - matplotlib
• 0.003 + - Python/multiprocessing
• 0.003 + - SciPy
• 0.003 + - Web mining
• 0.003 + - execnet
• 0.003 + - Web application framework
• 0.003 + - Parallel computing
• 0.003 + - Twitter