Book Image

AI for Absolute Beginners: A Clear Guide to Tomorrow

By : Oliver Theobald
4 (1)
Book Image

AI for Absolute Beginners: A Clear Guide to Tomorrow

4 (1)
By: Oliver Theobald

Overview of this book

The course begins with an engaging introduction to the world of Artificial Intelligence, making it approachable for absolute beginners. We unravel the mysteries of AI's evolution, from its historical roots to the cutting-edge technologies shaping our future. By explaining complex concepts in simple terms, this course aims to illuminate the path for those curious about how AI impacts our world. The course focuses on the core components of AI, including machine learning, deep learning, and natural language processing, before advancing to more specialized topics like generative AI and computer vision. Each module is designed to build a comprehensive understanding, emphasizing why these technologies are crucial for solving real-world problems and how they're transforming industries. The course wraps up by exploring the ethical considerations and privacy concerns associated with AI, along with a visionary look at the future of work in an AI-driven world. It offers a treasure trove of further resources, ensuring learners have everything they need to continue their exploration of AI.
Table of Contents (13 chapters)
Free Chapter
1
Introduction
2
A Brief History
3
AI Building Blocks
4
The 3 Stages of AI Development
5
Machine Learning
6
Deep Learning
7
Natural Language Processing
8
Generative AI
9
Recommender Systems
10
Computer Vision
11
Privacy & Ethical Considerations
12
The Future of Work
13
Further Resources

The 3 Stages of AI Development

 

As you venture further into the field of AI, it’s important to recognize and understand the three potential stages of AI development. Spanning narrow AI, general AI, and superintelligent AI, these three stages represent crucial milestones in the evolution of AI technology.

Narrow AI, for example, is designed to perform a specific task, whereas general AI is more advanced and capable of understanding, learning, and applying knowledge flexibly across a broad spectrum of tasks. As the most advanced stage, superintelligent AI remains a theoretical category at present but is hypothesized to surpass human intelligence across multiple domains at some point in the future.

 

Narrow AI

Despite its name, narrow AI or weak AI should not be confused as weak or ineffective. Rather, the naming of this category refers to the focused nature of AI systems in relation to their scope and functionality.

By design, narrow AI systems are capable of mimicking...