AI Mastery Trilogy
Andrew Hinton
This audiobook is narrated by a digital voice.
Dive into the "AI Mastery Trilogy," the ultimate collection for professionals seeking to conquer the world of artificial intelligence (AI). This 3-in-1 compendium is meticulously crafted to guide you from the foundational principles of AI to the intricate mathematical frameworks and practical coding applications that will catapult your expertise to new heights.
Book 1: "AI Basics for Managers" by Andrew Hinton is your gateway to understanding and implementing AI in business. It equips managers with the knowledge to navigate the AI landscape, identify opportunities, and lead their organizations toward a future of innovation and growth.
Book 2: "Essential Math for AI" demystifies the mathematical backbone of AI, offering a deep dive into the core concepts that fuel AI systems. From linear algebra to game theory, this book is a treasure trove for anyone eager to grasp the numerical and logical foundations that underpin AI's transformative power.
Book 3: "AI and ML for Coders" is the hands-on manual for coders ready to harness AI and machine learning in their projects. It provides a comprehensive overview of AI and ML technologies, practical coding advice, and ethical considerations, ensuring you're well-equipped to create cutting-edge, responsible AI applications.
The "AI Mastery Trilogy" is more than just a set of books; it's a comprehensive learning journey designed to empower business leaders, mathematicians, and coders alike. Whether you're looking to lead, understand, or build the future of AI, this collection is an indispensable resource for mastering the art and science of one of the most exciting fields in technology. Embrace the AI revolution and secure your copy of the "AI Mastery Trilogy" today!
Duration - 12h 34m.
Author - Andrew Hinton.
Narrator - Digital Voice Mike G.
Published Date - Monday, 20 January 2025.
Copyright - © 2024 Andrew Hinton ©.
Location:
United States
Networks:
Andrew Hinton
Digital Voice Mike G
AI Fundamentals
Book Bound Studios
English Audiobooks
Findaway Audiobooks
Description:
This audiobook is narrated by a digital voice. Dive into the "AI Mastery Trilogy," the ultimate collection for professionals seeking to conquer the world of artificial intelligence (AI). This 3-in-1 compendium is meticulously crafted to guide you from the foundational principles of AI to the intricate mathematical frameworks and practical coding applications that will catapult your expertise to new heights. Book 1: "AI Basics for Managers" by Andrew Hinton is your gateway to understanding and implementing AI in business. It equips managers with the knowledge to navigate the AI landscape, identify opportunities, and lead their organizations toward a future of innovation and growth. Book 2: "Essential Math for AI" demystifies the mathematical backbone of AI, offering a deep dive into the core concepts that fuel AI systems. From linear algebra to game theory, this book is a treasure trove for anyone eager to grasp the numerical and logical foundations that underpin AI's transformative power. Book 3: "AI and ML for Coders" is the hands-on manual for coders ready to harness AI and machine learning in their projects. It provides a comprehensive overview of AI and ML technologies, practical coding advice, and ethical considerations, ensuring you're well-equipped to create cutting-edge, responsible AI applications. The "AI Mastery Trilogy" is more than just a set of books; it's a comprehensive learning journey designed to empower business leaders, mathematicians, and coders alike. Whether you're looking to lead, understand, or build the future of AI, this collection is an indispensable resource for mastering the art and science of one of the most exciting fields in technology. Embrace the AI revolution and secure your copy of the "AI Mastery Trilogy" today! Duration - 12h 34m. Author - Andrew Hinton. Narrator - Digital Voice Mike G. Published Date - Monday, 20 January 2025. Copyright - © 2024 Andrew Hinton ©.
Language:
English
AI Basics for Managers
Duration:00:00:13
Introduction to AI for Managers
Duration:00:12:49
1. Understanding Artificial Intelligence: Key Concepts and Terminology
Duration:00:21:41
2. The Evolution of AI: A Brief History and Its Impact on Business
Duration:00:21:37
3. AI Technologies: Machine Learning, Deep Learning, and Natural Language Processing
Duration:00:22:48
4. The Role of Data in AI: Collection, Processing, and Analysis
Duration:00:21:52
5. Implementing AI in Business: Identifying Opportunities and Challenges
Duration:00:23:37
6. AI Ethics and Responsible Management: Ensuring Fairness, Transparency, and Accountability
Duration:00:19:15
7. Building an AI-Ready Workforce: Talent Acquisition, Retention, and Training
Duration:00:21:47
8. AI Project Management: Best Practices and Strategies for Success
Duration:00:23:54
9. Measuring AI Performance: Key Metrics and Evaluation Techniques
Duration:00:21:14
10. The Future of AI in Business: Trends, Opportunities, and Threats
Duration:00:22:16
Embracing AI for Effective Management and Business Growth
Duration:00:16:11
Essential Math for AI
Duration:00:00:14
The Role of Mathematics in Artificial Intelligence
Duration:00:10:25
1. Linear Algebra: The Foundation of Machine Learning
Duration:00:22:21
2. Probability and Statistics: Understanding Data and Uncertainty
Duration:00:23:51
3. Calculus: Optimizing AI Models
Duration:00:21:44
4. Graph Theory: Modeling Complex Relationships
Duration:00:17:31
5. Discrete Mathematics: Exploring Combinatorial Problems
Duration:00:23:30
6. Numerical Methods: Solving Equations and Approximating Functions
Duration:00:23:34
7. Optimization Techniques: Enhancing AI Performance
Duration:00:25:21
8. Game Theory: Analyzing Strategic Decision-Making
Duration:00:19:47
9. Information Theory: Quantifying and Encoding Data
Duration:00:22:39
10. Topology and Geometry: Uncovering Hidden Structures
Duration:00:22:16
The Future of Mathematics in AI
Duration:00:15:06
AI and ML for Coders
Duration:00:00:14
Introduction to Artificial Intelligence and Machine Learning for Coders
Duration:00:15:57
1. Foundations of AI: History, Concepts, and Terminology
Duration:00:22:52
2. Machine Learning Basics: Supervised, Unsupervised, and Reinforcement Learning
Duration:00:21:39
3. Essential Tools and Libraries for AI and ML Development
Duration:00:19:15
4. Data Preparation and Preprocessing Techniques for Machine Learning
Duration:00:16:37
5. Supervised Learning Algorithms: Regression, Classification, and Decision Trees
Duration:00:23:06
6. Unsupervised Learning Algorithms: Clustering, Dimensionality Reduction, and Association Rules
Duration:00:23:35
7. Deep Learning and Neural Networks: Architectures, Activation Functions, and Training Techniques
Duration:00:23:47
8. Natural Language Processing: Text Analysis, Sentiment Analysis, and Chatbots
Duration:00:24:38
9. Computer Vision and Image Recognition: Convolutional Neural Networks and Object Detection
Duration:00:25:59
10. Ethical Considerations and Responsible AI Development
Duration:00:21:42
The Future of AI and ML in Coding and Beyond
Duration:00:17:21