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Brief Summary of Book: Artificial Intelligence and Machine Learning Foundations: Learning from Experience by Andrew Lowe
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Unlock the potential of Artificial Intelligence (AI) in your organization with this updated, must-read guide, and discover how to leverage AI to drive innovation, improve efficiency, and gain a competitive edge. This comprehensive guide dives into the latest AI ethics legislation, explore advanced robotics and Machine Learning, and discover how AI enhances human capabilities. Gain powerful insights into today’s AI applications and learn how emerging trends could reshape industries while addressing critical ethical challenges. Its aim is to document what Artificial Intelligence and Machine Learning are and what they are not, separate fact from fiction and educate those with an interest in AI and Machine Learning. We have included a number of topics that introduce the basics of Machine Learning, and ethics. We believe that this book is relatively unique in that it brings together information and concepts in one book that are, until now, spread across numerous other volumes. The book also aims to simplify (where possible) complex and confusing concepts, making the topic highly accessible to those without a high-level degree in the subjects covered.
Overview – Artificial Intelligence and Machine Learning Foundations: Learning from Experience by Andrew Lowe
Before you start the download of “Artificial Intelligence and Machine Learning Foundations: Learning from Experience” by “Andrew Lowe“, you can review the following technical details about the eBook:
- Full Book Name: Artificial Intelligence and Machine Learning Foundations: Learning from Experience
- Author Name: Andrew Lowe
- Book Genre: Non-Fiction, Tech BOOKGENRE Devices
- Series Synopsis: “”
- ISBN #: 9781780176734
- ASIN #: 1780176732
- Edition Language: English
- Date of Publication: November 18, 2024
- File Name: Artificial_Intelligence_and_ML_Foundations_-_Steve_Lawless.epub, Artificial_Intelligence_and_ML_Foundations_-_Steve_Lawless.pdf
- EPUB Size: 4.0 MB
- PDF Size: 4.3 MB
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