Publisher's Synopsis
"AI For Everyone" provides a comprehensive overview of the field of Artificial Intelligence (AI) and Machine Learning (ML). Starting with the basics, the book explains the various algorithms and models that make up the AI and ML toolkit, including linear regression, neural networks, convolutional neural networks, recurrent neural networks, and generative adversarial networks. It then explores the various applications of AI and ML across different industries, including healthcare, finance, manufacturing, retail, and transportation. The book also covers the challenges and limitations of AI, including ethical concerns, bias in AI, security concerns, and limited interpretability.Finally, "AI for Everyone" provides a glimpse into the future of AI, including recent advances in the field, potential implications for the job market, and the ways in which AI can be integrated seamlessly into society. Whether you're a student, a practitioner, or simply interested in AI and ML, this book is an essential resource that provides a comprehensive and up-to-date overview of the field."AI For Everyone" is suitable for students, professionals, and anyone interested in the rapidly evolving world of AI and Machine Learning.
