Succeeding with AI video edition
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9:12:23
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1 - Chapter 1. Introduction.mp4
09:31
2 - Chapter 1. AI and the Age of Implementation.mp4
12:00
3 - Chapter 1. Machine learning from 10,000 feet.mp4
06:42
4 - Chapter 1. Start by understanding the possible business actions.mp4
10:05
5 - Chapter 1. AI finds correlations, not causes!.mp4
10:09
6 - Chapter 1. What is CLUE.mp4
10:42
7 - Chapter 1. Exercises.mp4
06:01
8 - Chapter 2. How to use AI in your business.mp4
06:38
9 - Chapter 2. How is AI used.mp4
10:55
10 - Chapter 2. Making money with AI.mp4
10:00
11 - Chapter 2. Finding domain actions.mp4
06:32
12 - Chapter 2. AI as a part of a larger product.mp4
12:03
13 - Chapter 2. Overview of AI capabilities.mp4
04:28
14 - Chapter 2. Introducing unicorns.mp4
10:13
15 - Chapter 2. Exercises.mp4
04:39
16 - Chapter 3. Choosing your first AI project.mp4
12:29
17 - Chapter 3. Prioritizing AI projects.mp4
12:46
18 - Chapter 3. Measuring AI project success with business metrics.mp4
10:29
19 - Chapter 3. Your first project and first research question.mp4
12:38
20 - Chapter 3. Pitfalls to avoid.mp4
09:21
21 - Chapter 3. Using your gut feeling instead of CLUE.mp4
08:29
22 - Chapter 4. Linking business and technology.mp4
06:45
23 - Chapter 4. Linking business problems and research questions.mp4
12:55
24 - Chapter 4. A metric you dont understand is a poor business metric.mp4
09:38
25 - Chapter 4. Measuring progress on AI projects.mp4
05:30
26 - Chapter 4. Linking technical progress with a business metric.mp4
12:49
27 - Chapter 4. Why is this not taught in college.mp4
07:09
28 - Chapter 4. Organizational considerations.mp4
12:58
29 - Chapter 5. What is an ML pipeline, and how does it affect an AI project.mp4
09:46
30 - Chapter 5. Challenges the AI system shares with a traditional software system.mp4
10:06
31 - Chapter 5. Example of ossification of an ML pipeline.mp4
07:44
32 - Chapter 5. How to address ossification of the ML pipeline.mp4
05:18
33 - Chapter 5. Why we need to analyze the ML pipeline.mp4
09:09
34 - Chapter 5. Whats the role of AI methods.mp4
05:52
35 - Chapter 5. Balancing data, AI methods, and infrastructure.mp4
06:34
36 - Chapter 6. Analyzing an ML pipeline.mp4
05:52
37 - Chapter 6. Economizing resources - The E part of CLUE.mp4
07:49
38 - Chapter 6. How to interpret MinMax analysis results.mp4
11:04
39 - Chapter 6. What if your ML pipeline needs improvement.mp4
02:31
40 - Chapter 6. How to perform an analysis of the ML pipeline.mp4
04:07
41 - Chapter 6. Performing the Max part of MinMax analysis.mp4
07:37
42 - Chapter 6. Estimates and safety factors in MinMax analysis.mp4
12:43
43 - Chapter 6. Dealing with complex profit curves.mp4
05:34
44 - Chapter 6. FAQs about MinMax analysis.mp4
09:18
45 - Chapter 7. Guiding an AI project to success.mp4
05:34
46 - Chapter 7. Performing local sensitivity analysis.mp4
09:56
47 - Chapter 7. Weve completed CLUE.mp4
06:06
48 - Chapter 7. Advanced methods for sensitivity analysis.mp4
07:52
49 - Chapter 7. How to address the interactions between ML pipeline stages.mp4
05:45
50 - Chapter 7. One common objection you might encounter.mp4
05:07
51 - Chapter 7. How to analyze the stage that produces data.mp4
05:24
52 - Chapter 7. How your AI project evolves through time.mp4
07:46
53 - Chapter 7. Concluding your AI project.mp4
09:03
54 - Chapter 8. AI trends that may affect you.mp4
05:14
55 - Chapter 8. AI in physical systems.mp4
08:01
56 - Chapter 8. IoT devices and AI systems must play well together.mp4
06:55
57 - Chapter 8. AI doesnt learn causality, only correlations.mp4
11:28
58 - Chapter 8. How are AI errors different from human mistakes.mp4
10:43
59 - Chapter 8. AutoML is approaching.mp4
07:27
60 - Chapter 8. Guiding AI to business results.mp4
07:12
61 - Appendix B. Exercise solutions.mp4
10:14
62 - Appendix B. Answers to chapter 2 exercises.mp4
08:07
63 - Appendix B. Answers to chapter 3 exercises.mp4
11:55
64 - Appendix B. Answers to chapter 6 exercises.mp4
05:39
65 - Appendix B. Answers to chapter 7 exercises.mp4
11:17
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View courses O'ReillyO'Reilly Media is an American learning company established by Tim O'Reilly that publishes books, produces tech conferences, and provides an online learning platform. Its distinctive brand features a woodcut of an animal on many of its book covers.
- language english
- Training sessions 65
- duration 9:12:23
- Release Date 2023/11/06
