AI For Everyone - Learning Week 2 Building AI Projects
Workflow of a machine learning project: Key steps for ML project – speech recognition/self-driving car 1. collect data 2. train data, 2.1 iterate many times until good enough 3. deploy model 3.1get data back, maintain/update-model Workflow of a data science project: Key steps for DS project – optimizing a sales funnel/manufacturing line 1. collect data 2. analyze data 2.1 iterate many times to get good insights 3. suggest hypotheses/actions 3.1 deploy changes 3.2 re-analyze new data periodically Every job function needs to learn how to use data: From sales, manufacturing line manager, recruiting to marketing, you can implement data science to collect data and feed into machine learning to get better results. How to choose an AI project Brainstorming framework : - Think about automating tasks rather than automating jobs - What are the main driver of business value?
