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Book Overview & Buying
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Table Of Contents
Applied Computational Thinking with Python - Second Edition
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ML is a subfield of artificial intelligence (AI) that focuses on building systems that can learn from data. Rather than being explicitly programmed to perform a task, an ML model uses data to learn patterns and make decisions. At its core, ML is about creating algorithms that improve their performance at a task by being exposed to more data over time.
DL is a subset of ML that uses neural networks with multiple layers to model complex patterns and representations in large datasets. In this section, we’re going to explore the ML life cycle, elaborating on it and the process of crafting ML models:
Figure 15.1 – ML umbrella
Python, with its simplicity and versatility, stands out as a popular choice for cloud-based applications. In AWS, Python is used extensively for scripting, automation, and building cloud-native applications. We’ll explore how Python’s features make it an ideal language for interacting...