Dealing with the Lack of Data in Machine Learning


In many projects, I realized that companies have fantastic business AI ideas but slowly become frustrated when they realize that they don't have enough data… However, solutions do exist! My goal in this article is to briefly introduce you to some of them (the ones that I used the most) rather than listing all existing solutions. This problem of data scarcity is really important since data is at the core of any AI projects. The dataset size is often responsible for poor performances in ML projects. Most of the time, data related issues are the main reason why great AI projects cannot be achieved.