Machine Learning Projects, Video Edition
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001. Chapter 1. Introduction Delivering machine learning projects is hard; lets do it better.mp4
09:10
002. Chapter 1. Why is ML important.mp4
08:38
003. Chapter 1. Other machine learning methodologies.mp4
09:00
004. Chapter 1. Understanding this book.mp4
04:13
005. Chapter 1. Case study The Bike Shop.mp4
01:48
006. Chapter 1. Summary.mp4
01:03
007. Chapter 2. Pre-project From opportunity to requirements.mp4
05:50
008. Chapter 2. Project management infrastructure.mp4
04:07
009. Chapter 2. Project requirements.mp4
18:47
010. Chapter 2. Data.mp4
09:09
011. Chapter 2. Security and privacy.mp4
03:24
012. Chapter 2. Corporate responsibility, regulation, and ethical considerations.mp4
12:14
013. Chapter 2. Development architecture and process.mp4
09:46
014. Chapter 2. Summary.mp4
01:10
015. Chapter 3. Pre-project From requirements to proposal.mp4
11:43
016. Chapter 3. Create an estimate.mp4
23:56
017. Chapter 3. Pre-salespre-project administration.mp4
02:12
018. Chapter 3. Pre-projectpre-sales checklist.mp4
01:33
019. Chapter 3. The Bike Shop pre-sales.mp4
19:20
020. Chapter 3. Pre-project postscript.mp4
03:02
021. Chapter 3. Summary.mp4
00:45
022. Chapter 4. Getting started.mp4
02:48
023. Chapter 4. Finalize team design and resourcing.mp4
02:22
025. Chapter 4. Infrastructure plan.mp4
04:49
026. Chapter 4. The data story.mp4
17:25
027. Chapter 4. Privacy, security, and an ethics plan.mp4
02:25
028. Chapter 4. Project roadmap.mp4
03:42
029. Chapter 4. Sprint 0 checklist.mp4
00:35
030. Chapter 4. Bike Shop project setup.mp4
17:02
031. Chapter 4. Summary.mp4
00:58
032. Chapter 5. Diving into the problem.mp4
01:51
033. Chapter 5. Understanding the data.mp4
23:20
034. Chapter 5. Business problem refinement, UX, and application design.mp4
10:23
035. Chapter 5. Building data pipelines.mp4
22:15
036. Chapter 5. Model repository and model versioning.mp4
09:03
037. Chapter 5. Summary.mp4
01:18
038. Chapter 6. EDA, ethics, and baseline evaluations.mp4
25:17
039. Chapter 6. Ethics checkpoint.mp4
03:29
040. Chapter 6. Baseline models and performance.mp4
02:22
041. Chapter 6. What if there are problems.mp4
04:53
042. Chapter 6. Pre-modeling checklist.mp4
00:34
043. Chapter 6. The Bike Shop Pre-modelling.mp4
18:46
045. Chapter 7. Making useful models with ML.mp4
03:24
046. Chapter 7. Feature engineering and data augmentation.mp4
12:27
048. Chapter 7. Making models with ML.mp4
16:16
049. Chapter 7. Stinky, dirty, no good, smelly models.mp4
04:16
050. Chapter 7. Summary.mp4
01:00
051. Chapter 8. Testing and selection.mp4
05:51
052. Chapter 8. Testing processes.mp4
29:04
053. Chapter 8. Model selection.mp4
16:53
054. Chapter 8. Post modelling checklist.mp4
01:36
055. Chapter 8. The Bike Shop sprint 2.mp4
14:43
056. Chapter 8. Summary.mp4
02:26
057. Chapter 9. Sprint 3 system building and production.mp4
04:31
058. Chapter 9. Types of ML implementations.mp4
20:26
059. Chapter 9. Nonfunctional review.mp4
01:42
060. Chapter 9. Implementing the production system.mp4
20:38
061. Chapter 9. Logging, monitoring, management, feedback, and documentation.mp4
13:48
062. Chapter 9. Pre-release testing.mp4
03:41
063. Chapter 9. Ethics review.mp4
02:23
064. Chapter 9. Promotion to production.mp4
03:00
065. Chapter 9. You arent done yet.mp4
01:22
066. Chapter 9. The Bike Shop sprint 3.mp4
10:19
067. Chapter 9. Summary.mp4
01:33
068. Chapter 10. Post project.mp4
00:56
069. Chapter 10. Off your hands and into production.mp4
20:16
070. Chapter 10. Team post-project review.mp4
04:38
071. Chapter 10. Improving practice.mp4
04:15
072. Chapter 10. New technology adoption.mp4
02:06
073. Chapter 10. Case study.mp4
01:21
074. Chapter 10. Goodbye and good luck.mp4
01:22
075. Chapter 10. Summary.mp4
01:35
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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 72
- duration 9:24:15
- Release Date 2025/01/15