AI Demystified - A Simple Guide for Newcomers: Master Artificial Intelligence, Machine Learning & Deep Learning with Ease

Alexander Oni

$82.99

Video May 2025 4hrs 1st Edition

Alexander Oni

$82.99

Video May 2025 4hrs 1st Edition

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Key benefits

In-depth exploration of AI, machine learning, deep learning, and NLP
Learn the foundational concepts and practical applications of AI technology
Step-by-step breakdowns with engaging visuals and real-world case studies

Description

This course introduces you to the world of Artificial Intelligence, breaking down its concepts for beginners. Starting with a clear understanding of AI’s history, key terms, and differences between AI, Machine Learning, and Deep Learning, you’ll gain a solid foundation in the field. The course then delves into AI's essential elements, including the role of data, algorithms, and the capabilities and limitations of AI systems. You’ll explore the basics of machine learning, learning how machines are trained through supervised, unsupervised, and reinforcement learning. Real-world examples will help you understand how these technologies power everyday applications. The course also covers deep learning and neural networks, providing insight into their functions and challenges. With a focus on Natural Language Processing (NLP), you’ll learn how machines interpret human language, enabling chatbots and voice assistants. Finally, the course examines the future of AI, exploring emerging trends and its impact on the workforce and society. By the end, you'll have a comprehensive understanding of AI, preparing you for further exploration or a career in the field.

Who is this book for?

This course is designed for beginners interested in Artificial Intelligence, Machine Learning, and Deep Learning. No prior technical knowledge is required. It’s ideal for professionals, students, or anyone curious about AI's role in modern society.

What you will learn

Understand the core concepts and terminology of Artificial Intelligence
Differentiate between AI, Machine Learning, and Deep Learning
Learn the foundational role of data, algorithms, and models in AI
Explore machine learning techniques, including supervised, unsupervised, and reinforcement learning
Grasp deep learning fundamentals and neural network applications
Understand the significance of Natural Language Processing and its real-world use cases

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