
AI and Data Literacy for Business Professionals
Data and Artificial Intelligence Literacy - From Core ML and Statistical Concepts to the Latest in AI in Simple Terms
Introduction to AI & ML
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Data and Artificial Intelligence Literacy - From Core ML and Statistical Concepts to the Latest in AI in Simple Terms
Millions of non-technical professionals and leaders want to understand Artificial Intelligence (AI) and Machine Learning (ML) -- whether to improve their businesses, be more effective citizens, consumers or policymakers, or just out of sheer curiosity. Until now, most books on the subject have either been too complicated and mathematical, or have simply avoided the big picture by focusing on the use of specific software libraries.
Ethical development and responsible deployment of AI and ML systems. Learn the latest technology in AI and ML security to safeguard against AI attackers and ensure data integrity and user privacy. Navigate privacy and ethical considerations to gain insights into responsible AI practices and address ethical consideration. Explore emerging trends and future directions in AI, ML, security, ethics, and privacy focusing on key concepts including threats, vulnerabilities, and attack vectors.
Designing and mantaining AI/ML models that help data subjects, are explainable, are not biased, and are compliant.
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