Search "+Food -Beer -Differentiable neural computers -Cinder toffee -Water -Wine pairing +Human mobility -Neural doodle +Artificial neural network"

Positive matches

• 0.138 + - Social media
• 0.037 + - Brain network
• 0.033 + - Machine learning
• 0.021 + - Odor
• 0.019 + - Caenorhabditis elegans
• 0.017 + - Aging brain
• 0.010 + - Stretching
• 0.009 + - Music
• 0.007 + - Multilayer network
• 0.006 + - Modular structure of brain
• 0.005 + - Class imbalance
• 0.005 + - Automated machine learning
• 0.003 + - Gradient descent
• 0.003 + - Social media and public health
• 0.003 + - Twitter
• 0.003 + - Sentiment analysis
• 0.003 + - Pew Research
• 0.003 + - DERP
• 0.003 + - Prediction using social media
• 0.003 + - Future of work

Negative matches

• 0.118 + - Food pairing
• 0.102 + - Deep learning
• 0.082 + - Andy Connelly
• 0.080 + - Food choice
• 0.056 + - Deep generative models
• 0.056 + - Paper/Graves2016DNC
• 0.038 + - Meta learning
• 0.028 + - Trappist beer
• 0.024 + - Bread
• 0.024 + - Cheese
• 0.015 + - Restaurants
• 0.011 + - Catching Fire: How Cooking Made Us Human
• 0.011 + - Learning
• 0.011 + - Calorie
• 0.011 + - Machine translation
• 0.011 + - Amazon Elastic Compute Cloud
• 0.010 + - Brain and deep learning
• 0.010 + - Dropout
• 0.008 + - Deep learning and graphs
• 0.007 + - Residual leanrning