AI Fundamentals for Business Leaders: Up to Date With Generative AI
Introducing "Artificial Intelligence Fundamentals for Business Leaders" - the perfect guide to help non-techni
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English Pages 415 Year 2023
Table of contents :
1. Navigating the AI Landscape: A Pragmatic Guide for Business Leaders
Introduction to Artificial Intelligence
2. Innovate and Adapt, Faster!
3. AI and the Transformation of the Global Business Landscape
4. What is Artificial Intelligence?
5. Human Intelligence Versus Machine Intelligence
6. Applications
7. Computational Power
All About Data
8. Big Data
9. Data Science Versus Machine Learning
10. Harnessing Data for Machine Learning: Strategies and Challenges
11. Proprietary Data as a Competitive Advantage
12. Open Data and Data Sharing
13. The New Era of Generative AI: Understanding the Data Management Implications
Machine Learning
14. Business Leaders and Machine Learning
15. Expert Systems
16. Machine Learning
17. Supervised Learning
18. Unsupervised Learning
19. Self-Supervised Learning - Bridging the Gap
20. Reinforcement Learning
21. Reinforcement Learning from Human Feedback: Enhancing AI Models with Human Input
Stepping-Stone Models and Concepts
22. Parametric And Non-Parametric Algorithms
23. Linear Regression
24. Logistic Regression
25. Decision Trees
26. Ensemble Methods
27. K-Means Clustering
28. Regularization in Machine Learning Models
29. Key Steps of a Machine Learning Project
Deep Learning
30. Introduction to Deep Learning
31. Neurons
32. The Perceptron
33. Training a Neuron
34. Neural Networks
35. Basic Types of Neural Networks
Model Selection and Evaluation
36. Model Selection
37. The Unreasonable Effectiveness of Quality Data
38. Model Evaluation
39. Outputs Versus Outcomes
40. Enhancing Decision-Making with Machine Learning
Generative AI
41. Introduction to Generative AI
42. Transformer Models
43. Transformers: The Near Future
44. Generative Adversarial Networks
45. Diffusion Models
46. Foundation Models
47. The Generative AI Value Chain
48. Training GPT Assistants and the Art of Prompting
49. Prompt Strategies
50. Regulating and Governing Generative AI: A Case Study of the European Union
51. Assignment: AI Opportunities and Challenges for Your Business
References
1. Navigating the AI Landscape: A Pragmatic Guide for Business Leaders
Introduction to Artificial Intelligence
2. Innovate and Adapt, Faster!
3. AI and the Transformation of the Global Business Landscape
4. What is Artificial Intelligence?
5. Human Intelligence Versus Machine Intelligence
6. Applications
7. Computational Power
All About Data
8. Big Data
9. Data Science Versus Machine Learning
10. Harnessing Data for Machine Learning: Strategies and Challenges
11. Proprietary Data as a Competitive Advantage
12. Open Data and Data Sharing
13. The New Era of Generative AI: Understanding the Data Management Implications
Machine Learning
14. Business Leaders and Machine Learning
15. Expert Systems
16. Machine Learning
17. Supervised Learning
18. Unsupervised Learning
19. Self-Supervised Learning - Bridging the Gap
20. Reinforcement Learning
21. Reinforcement Learning from Human Feedback: Enhancing AI Models with Human Input
Stepping-Stone Models and Concepts
22. Parametric And Non-Parametric Algorithms
23. Linear Regression
24. Logistic Regression
25. Decision Trees
26. Ensemble Methods
27. K-Means Clustering
28. Regularization in Machine Learning Models
29. Key Steps of a Machine Learning Project
Deep Learning
30. Introduction to Deep Learning
31. Neurons
32. The Perceptron
33. Training a Neuron
34. Neural Networks
35. Basic Types of Neural Networks
Model Selection and Evaluation
36. Model Selection
37. The Unreasonable Effectiveness of Quality Data
38. Model Evaluation
39. Outputs Versus Outcomes
40. Enhancing Decision-Making with Machine Learning
Generative AI
41. Introduction to Generative AI
42. Transformer Models
43. Transformers: The Near Future
44. Generative Adversarial Networks
45. Diffusion Models
46. Foundation Models
47. The Generative AI Value Chain
48. Training GPT Assistants and the Art of Prompting
49. Prompt Strategies
50. Regulating and Governing Generative AI: A Case Study of the European Union
51. Assignment: AI Opportunities and Challenges for Your Business
References
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