AI is Z in a set of alphabets ranging from A to Z. Before you can get to Z, you must first study the other alphabets.
It all begins with information. To begin, you must first grasp the notion of data analysis, which you may do by taking a few classes or learning from the internet. Intern at a firm that specializes in Business Intelligence & Analytics.
The following stage is to utilize previous data to forecast the future. This is data science, in which you utilize programming languages like R, Python, or Scala to statistically analyze previous data in order to forecast the future. This will be your first foray into the field of artificial intelligence.
Machine learning is used in predictive models to infer the future from the past. This isn’t technically AI, either. This is known as supervised learning, and it is based on human-defined indicator variables.
You must be well-versed in the creation of prediction models as well as the idea of supervised learning (Random Forest, SVM, Logistic regression, etc)
The way we humans learn, AI is classified as really unsupervised learning, experiential learning, or deep learning. Through real-life events, we learn about the notion of learning. This is the direction in which AI is presently headed. This necessitates a thorough grasp of neural networks and other deep learning methods.
Image identification, facial recognition, and healthcare illness diagnoses are some of the key challenges being tackled in the field of deep learning. You must have a strong foundation in computer science and mathematics.