You might also like

More about Mastering Algorithms for AI

• Book details
• Synopsis
• Trending among others

You get 112 loyalty points

Book synopsis

At the heart of AI lies the concept of an algorithm. An algorithm is essentially a step-by-step procedure or formula for solving a problem. In the context of AI, algorithms are used to process data, identify patterns, learn from that data, and make decisions based on the knowledge gained.

AI algorithms differ from traditional algorithms in that they often involve learning and adaptation. Traditional algorithms are rule-based, meaning that the instructions are explicitly programmed and fixed. AI algorithms, particularly in machine learning, are designed to improve over time by learning from data. They can adjust their behavior based on new information, becoming more accurate and efficient as they process more data.

In this book, we aim to demystify AI algorithms and provide you with both theoretical and practical insights into how these algorithms work. Starting from the basics of what an algorithm is, we move toward more complex algorithms and their applications in AI. The book is divided into manageable sections that introduce algorithms in a step-by-step manner, with code examples and projects to reinforce learning. You'll not only understand how algorithms are structured but also how to apply them in real-world AI systems.

Whether you are new to AI or seeking to deepen your expertise, this book will equip you with the tools to build, optimize, and deploy AI algorithms that drive intelligent systems. Our goal is to empower you with the knowledge and skills to navigate the world of AI algorithms, from foundational principles to cutting-edge techniques.

As artificial intelligence (AI) continues to evolve and become increasingly integrated into our daily lives, understanding the underlying algorithms that power AI systems is no longer just the domain of specialists. AI algorithms have become essential tools for professionals in diverse industries, from healthcare and finance to marketing and robotics. But why is it so important to learn AI algorithms specifically? The answer lies in the profound impact these algorithms have on the effectiveness, efficiency, and intelligence of AI systems. Learning AI algorithms is about understanding how machines can solve problems, make decisions, and adapt in ways that mimic - or even surpass - human capabilities.

"Mastering Algorithms for AI: From Basics to Advanced Techniques" is designed as a comprehensive guide that takes you step-by-step through the world of AI algorithms, starting from foundational concepts and progressing to advanced techniques. Whether you're a beginner looking to enter the field of artificial intelligence or an experienced professional seeking to deepen your understanding, this book provides a clear, structured learning path. The following guidelines will help you make the most of this resource as you embark on your journey to mastering AI algorithms.

Mastering Algorithms for AI: From Basics to Advanced Techniques is designed to be a versatile, comprehensive guide that accommodates learners from all backgrounds. Whether you're a novice or an experienced AI professional, you can use this book to build a solid understanding of AI algorithms, develop practical coding skills, and work on real-world projects that reinforce learning. With its modular structure, hands-on projects, and in-depth theoretical insights, this book serves as both a learning resource and a reference guide, ensuring that you walk away with a deep understanding of AI algorithms and the confidence to apply them in your work or research.

Book details

Book category Books in German Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Programmiersprachen

• Full title: Mastering Algorithms for AI
• Author: Hesham Mohamed Elsherif
• Language: English
• Binding: Paperback
• Number of pages: 586
• EAN: 9798330424993
• ID: 46710908
• Publisher: Oxford University Press UK (Elt)
• Weight: 686 g
• Dimensions: 229 × 152 × 26 mm
• Date of publishing: 15. September 2024

---

---

---