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
INAudio 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
Duración:00:00:13
Introduction to AI for Managers
Duración:00:12:49
1. Understanding Artificial Intelligence: Key Concepts and Terminology
Duración:00:21:41
2. The Evolution of AI: A Brief History and Its Impact on Business
Duración:00:21:37
3. AI Technologies: Machine Learning, Deep Learning, and Natural Language Processing
Duración:00:22:48
4. The Role of Data in AI: Collection, Processing, and Analysis
Duración:00:21:52
5. Implementing AI in Business: Identifying Opportunities and Challenges
Duración:00:23:37
6. AI Ethics and Responsible Management: Ensuring Fairness, Transparency, and Accountability
Duración:00:19:15
7. Building an AI-Ready Workforce: Talent Acquisition, Retention, and Training
Duración:00:21:47
8. AI Project Management: Best Practices and Strategies for Success
Duración:00:23:54
9. Measuring AI Performance: Key Metrics and Evaluation Techniques
Duración:00:21:14
10. The Future of AI in Business: Trends, Opportunities, and Threats
Duración:00:22:16
Embracing AI for Effective Management and Business Growth
Duración:00:16:11
Essential Math for AI
Duración:00:00:14
The Role of Mathematics in Artificial Intelligence
Duración:00:10:25
1. Linear Algebra: The Foundation of Machine Learning
Duración:00:22:21
2. Probability and Statistics: Understanding Data and Uncertainty
Duración:00:23:51
3. Calculus: Optimizing AI Models
Duración:00:21:44
4. Graph Theory: Modeling Complex Relationships
Duración:00:17:31
5. Discrete Mathematics: Exploring Combinatorial Problems
Duración:00:23:30
6. Numerical Methods: Solving Equations and Approximating Functions
Duración:00:23:34
7. Optimization Techniques: Enhancing AI Performance
Duración:00:25:21
8. Game Theory: Analyzing Strategic Decision-Making
Duración:00:19:47
9. Information Theory: Quantifying and Encoding Data
Duración:00:22:39
10. Topology and Geometry: Uncovering Hidden Structures
Duración:00:22:16
The Future of Mathematics in AI
Duración:00:15:06
AI and ML for Coders
Duración:00:00:14
Introduction to Artificial Intelligence and Machine Learning for Coders
Duración:00:15:57
1. Foundations of AI: History, Concepts, and Terminology
Duración:00:22:52
2. Machine Learning Basics: Supervised, Unsupervised, and Reinforcement Learning
Duración:00:21:39
3. Essential Tools and Libraries for AI and ML Development
Duración:00:19:15
4. Data Preparation and Preprocessing Techniques for Machine Learning
Duración:00:16:37
5. Supervised Learning Algorithms: Regression, Classification, and Decision Trees
Duración:00:23:06
6. Unsupervised Learning Algorithms: Clustering, Dimensionality Reduction, and Association Rules
Duración:00:23:35
7. Deep Learning and Neural Networks: Architectures, Activation Functions, and Training Techniques
Duración:00:23:47
8. Natural Language Processing: Text Analysis, Sentiment Analysis, and Chatbots
Duración:00:24:38
9. Computer Vision and Image Recognition: Convolutional Neural Networks and Object Detection
Duración:00:25:59
10. Ethical Considerations and Responsible AI Development
Duración:00:21:42
The Future of AI and ML in Coding and Beyond
Duración:00:17:21