How nosql fundamentally changed machine learning?
- 1. How NoSQL Fundamentally Changed Machine Learning 2015/8/7 棚橋 耕太郎http://data-magnum.com/how-nosql-has- fundamentally-changed-machine-learning/
- 3. rise of date lakes NoSQLによりXML,JSONなどが利用可能に
- 5. 3. NLP interpret general trends and sentiment NLPは予測モデルにも使える
- 8. Question answering on the Facebook bAbi dataset using recurrent neural networks and 175 lines of Python + Keras http://smerity.com/articles/2015/keras_qa.html
- 10. Facebook bAbi tasks 人口の質問データセット ロボットの評価に用いる Why a synthetic dataset? The vocabulary (set of words) is constrained, the sentences are always well structured (the only noise is the noise we want to challenge the model with), and the performance on specific tasks can be tested without other tasks interferring
- 11. How do we approach the problem? Word vectors https://en.wikipedia.org/wiki/Recurrent_neural_network
- 12. performance the results are comparable (and occasionally superior) to those for the LSTM baseline provided in Weston et al.'s
- 13. comparison to FB baseline