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Generative Artificial Intelligence

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May 1, 2024 3 minute read

Generative Artificial Intelligence (AI) is a transformative field that empowers computers to create new and original content, mimicking human creativity. This technology holds immense potential for revolutionizing industries and empowering individuals.

Why Learn Generative AI?

Learning Generative AI offers a plethora of benefits:

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Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Generative Artificial Intelligence.
As a comprehensive reference, this book covers the full spectrum of generative AI, from foundational concepts to advanced techniques and applications, providing a deep understanding of the field.
Written by one of the pioneers of GANs, this book introduces the fundamental concepts and techniques of generative adversarial networks, with a focus on practical applications.
Explores the use of generative AI in drug discovery, providing insights into model development, data generation, and applications in lead optimization and target identification.
This hands-on guide provides a practical approach to building and deploying generative AI models using Python, covering various techniques and real-world applications.
As an introductory guide, this book offers a broad overview of generative AI, covering its principles, techniques, and applications across various industries.
Focuses on the application of generative AI in the finance industry, covering topics such as risk management, fraud detection, and algorithmic trading.
This beginner-friendly book introduces the fundamental concepts of generative AI, making it accessible to those with limited technical background.
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