Learn Artificial Intelligence from Zero
Master's in Fundamentals of AI: Transform Your Career with Practical Business Applications
By Raúl Sierra Sánchez
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Synopsis
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From the chapter «Discover Basic AI»
Welcome to the first chapter of "Learn Artificial Intelligence from Scratch." If you're here, you're probably a curious professional who wants to understand how AI is transforming the world, from automating tasks to making intelligent decisions. Don't worry if you feel like you're starting from zero; this chapter will guide you informally through the fundamental concepts. We're going to demystify AI, explore its history, see how it's applied in different industries, and understand why it's essential for businesses today. By the end, you'll have a solid foundation to build on in the following chapters. Imagine this as a friendly chat in a coffee shop, but with a technical twist that makes you feel empowered.
Before diving into the details, it's important to clarify what Artificial Intelligence (AI) really is. In simple terms, AI refers to the ability of machines to perform tasks that normally require human intelligence, such as recognizing patterns, learning from data, or making decisions. It's not some magical sci-fi concept; it's a branch of computer science that uses algorithms and data to simulate cognitive processes. For example, when you use a virtual assistant like Siri or Google Assistant, you're interacting with AI that processes your voice and responds relevantly.
AI is divided into several types, depending on its complexity. We have narrow AI (or weak AI), which is designed for a specific task, like recommending movies on Netflix, and general AI (or strong AI), which would be capable of performing any intellectual task that a human can, although this is still in its early stages. As a professional, it's useful to think of AI as a tool that enhances your work: it automates the repetitive so you can focus on the creative.
One of the key concepts in AI is machine learning (learning from data), which is like the engine driving many modern applications. Essentially, machine learning allows systems to improve their performance over time based on data. To illustrate this, let's consider a basic example in Python, which is the most common language in AI due to its simplicity and specialized libraries. […]
Table of contents
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Discover Basic AI
- Origins of AI
- Definition of AI
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Basics of Machine Learning
- Types of Machine Learning
- Key ML Algorithms
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Advanced Neural Networks
- Structure of Neural Networks
- Applications of Deep Learning
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AI in Business Strategies
- Opportunities with AI
- AI Project Planning
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Ethics and Future of AI
- Ethics in AI
- Future Trends of AI
