Machine Learning and Deep Learning Deep Dive
In the age of AI implementation, the current period of AI we find ourselves in, we must understand the pros and cons of both machine learning (ML) and deep learning (DL) in order to best navigate when to use either technology. Some other terms you might have come across with respect to AI/ML tools are applied AI or deep tech. As we’ve mentioned a few times over the course of this book, the underlying tech that will, for the most part, power AI products will be ML or DL. That’s because expert- or rule-based systems are slowly being powered by ML or not evolving at all. So, let’s dive a bit further into these technologies and understand how they differ.
In this chapter, we will explore the relationship between ML and DL and the way in which they bring their own sets of expectations, explanations, and elucidations to builders and users alike. Whether you work with products that incorporate ML models that have been around...
