July 2026
Intermediate
331 pages
18h 9m
English
In this chapter, you will learn the following:
• A short history of artificial intelligence
• The main machine learning (ML) and deep learning (DL) models
• The key data preprocessing techniques
• The metrics used to measure model performance and behavior
• How to deploy machine learning and deep learning models at scale with MLOps
Artificial intelligence has existed as a separate scientific domain since the 1950s, and its relevance has increased dramatically, impacting our daily life since advances in large data collection and compute power have made possible the scalable implementation of specialized machine learning and its subdomain, neural network-based ...
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