A machine learning solution can be broadly divided into 3 parts. A typical ML exercise would involve experimentation and iteration of all the 3 parts together and/or 1 of the 3 parts before arriving at a solution.
1. Pre-Processing: Preparation of data for modeling.You are the best judge of what needs to be done, but here are some considerations:
Added by Uday Krishna on May 2, 2018 at 4:30am — No Comments
At a conference I attended a few years ago, a data scientist on a round table discussion replied to a question of what she considered the most important mathematical function in her work with: "the division operator". That clever response provided grist for my later answer to a similar question on my favorite statistical procedure: "frequencies and…Continue
Summary: Our starting assumption that sequence problems (language, speech, and others) are the natural domain of RNNs is being challenged. Temporal Convolutional Nets (TCNs) which are our workhorse CNNs with a few new features are outperforming RNNs on major applications today. Looks like RNNs may well be history.