Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Class imbalance +Rob Schapire +Learning -Poker +IPython +How to study +Practice -Lexical feature selection"

Positive matches

• 0.060 + - Research advices
• 0.060 + - Class imbalance problem
• 0.057 + - Probability, Paradox, and the Reasonable Person Principle
• 0.031 + - Simpson's paradox
• 0.031 + - Python
• 0.027 + - Jupyter/notebook
• 0.023 + - Python/Modules
• 0.020 + - Programming interview
• 0.019 + - Deep learning
• 0.018 + - SSH tunneling
• 0.017 + - Probability
• 0.017 + - Yoav Freund
• 0.017 + - Ron Meir
• 0.016 + - Michael Ramscar
• 0.013 + - Data science
• 0.013 + - Gradient descent
• 0.010 + - Jonah Lehrer
• 0.010 + - 유재명
• 0.009 + - David MacKay
• 0.009 + - Willpower

Negative matches

• 0.018 + - Data analysis
• 0.016 + - tf-idf
• 0.016 + - Natural language processing
• 0.010 + - Text analysis
• 0.008 + - Pointwise mutual information
• 0.005 + - Convolutional neural network
• 0.005 + - NLP
• 0.002 + - Long short-term memory
• 0.002 + - NLTK
• 0.002 + - spaCy
• 0.002 + - Gensim
• 0.002 + - BookNLP
• 0.002 + - Christopher D. Manning
• 0.001 + - Biomedical natural language processing
• 0.001 + - Dialog act
• 0.001 + - Topic modeling
• 0.001 + - CNN
• 0.001 + - StanfordNLP
• 0.001 + - Latent Dirichlet allocation
• 0.001 + - scispaCy