time series

今天主要整理过去所学
time series oreilly讲得不太好
于是看了另一个video，把
1. arima
搞懂了

也整理了
2. nlu from 狗尾草
3. lfe, Cognito 和onebm
4. useful lib - magenta, kaldi, deepchem
5. some business model and business strategy

看了下
1. deep reinforcement learning (deep q-learning)
2. RBM, DBM, DBN

明天着重
Sarima and Variational encoder and Pru stuff (Traslation, Watson Assitant, Watson 2.0 [AutoAI])