
Artificial Intelligence
Evolution and Revolution
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Artificial Intelligence
Evolution and Revolution
About this book
Navigate the rapidly evolving world of Artificial Intelligence with this insightful guide. From the foundational concepts of machine learning and deep learning to the ethical considerations and future trends, this book provides a comprehensive overview of AI's transformative potential.
Discover how AI is being applied across diverse industries, from healthcare to finance, and gain practical knowledge of key algorithms and implementation strategies. Address the challenges of AI bias and ensure transparency with explainable AI techniques. Prepare for the future by understanding the AI Ladder and its role in accelerating your AI journey. This book is for data scientists, business professionals, and anyone eager to harness the power of AI.
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Information
Table of contents
- Cover
- Title Page
- Copyright
- Contents
- Foreword
- Chapter 1: Machine Learning—The Early Years
- Chapter 2: Industry Adoption of AI
- Chapter 3: Bias and Explainability
- Chapter 4: Ethically Speaking
- Chapter 5: Theory vs. Reality (10 Lessons from the Field)
- Chapter 6: From Machine Learning to Learning Machines
- Chapter 7: 10 Machine-Learning Methods That Every Data Scientist Should Know
- Chapter 8: Machine Learning for the Masses
- Chapter 9: Operationalizing ML/AI into Your Business Processes
- Chapter 10: Five, Ten, Fifty
- Chapter 11: Conclusion
- References
- Notices and Disclaimers
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