AI and ML fundamentals
Like any new technology, there’s still a bit of confusion around the scope and meaning of each term. Before diving deep into the challenges that AI/ML can help solve, it’s important to demystify some classification terms:
- AI is the field of knowledge that tries to make machines reproduce human behavior. Any software that imitates this behavior can be called AI (for example, a simple if this, then do that rule).
- ML adds the capability to learn/infer patterns from historical data so that it can be applied to new data. It produces new outputs by reusing the learned knowledge.
- Neural networks are a subset of ML that emulate how the human brain works while leveraging the concept of neurons and how they’re connected. This allows more complex problems to be solved.
- Deep learning is a multilayer neural network (more than three layers) that provides more options for building custom neural networks, increasing the capacity to tune...
