Oreilly Managing Machine Learning Projects Video Edition FreeCourseWeb
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| Torrent Added : | at Jan. 1, 2024, 5:41 p.m. in Other |
| Torrent Size : | 1.0 GB |
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Oreilly Managing Machine Learning Projects Video Edition FreeCourseWeb
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Oreilly Managing Machine Learning Projects Video Edition FreeCourseWeb
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001. Chapter 1. Introduction Delivering machine learning projects is hard; let’s do it better.mp4 -
002. Chapter 1. Why is ML important.mp4 -
003. Chapter 1. Other machine learning methodologies.mp4 -
004. Chapter 1. Understanding this book.mp4 -
005. Chapter 1. Case study The Bike Shop.mp4 -
006. Chapter 1. Summary.mp4 -
007. Chapter 2. Pre-project From opportunity to requirements.mp4 -
008. Chapter 2. Project management infrastructure.mp4 -
009. Chapter 2. Project requirements.mp4 -
010. Chapter 2. Data.mp4 -
011. Chapter 2. Security and privacy.mp4 -
012. Chapter 2. Corporate responsibility, regulation, and ethical considerations.mp4 -
013. Chapter 2. Development architecture and process.mp4 -
014. Chapter 2. Summary.mp4 -
015. Chapter 3. Pre-project From requirements to proposal.mp4 -
016. Chapter 3. Create an estimate.mp4 -
017. Chapter 3. Pre-salespre-project administration.mp4 -
018. Chapter 3. Pre-projectpre-sales checklist.mp4 -
019. Chapter 3. The Bike Shop pre-sales.mp4 -
020. Chapter 3. Pre-project postscript.mp4 -
021. Chapter 3. Summary.mp4 -
022. Chapter 4. Getting started.mp4 -
023. Chapter 4. Finalize team design and resourcing.mp4 -
025. Chapter 4. Infrastructure plan.mp4 -
026. Chapter 4. The data story.mp4 -
027. Chapter 4. Privacy, security, and an ethics plan.mp4 -
028. Chapter 4. Project roadmap.mp4 -
029. Chapter 4. Sprint 0 checklist.mp4 -
030. Chapter 4. Bike Shop project setup.mp4 -
031. Chapter 4. Summary.mp4 -
032. Chapter 5. Diving into the problem.mp4 -
033. Chapter 5. Understanding the data.mp4 -
034. Chapter 5. Business problem refinement, UX, and application design.mp4 -
035. Chapter 5. Building data pipelines.mp4 -
036. Chapter 5. Model repository and model versioning.mp4 -
037. Chapter 5. Summary.mp4 -
038. Chapter 6. EDA, ethics, and baseline evaluations.mp4 -
039. Chapter 6. Ethics checkpoint.mp4 -
040. Chapter 6. Baseline models and performance.mp4 -
041. Chapter 6. What if there are problems.mp4 -
042. Chapter 6. Pre-modeling checklist.mp4 -
043. Chapter 6. The Bike Shop Pre-modelling.mp4 -
045. Chapter 7. Making useful models with ML.mp4 -
046. Chapter 7. Feature engineering and data augmentation.mp4 -
048. Chapter 7. Making models with ML.mp4 -
049. Chapter 7. Stinky, dirty, no good, smelly models.mp4 -
050. Chapter 7. Summary.mp4 -
051. Chapter 8. Testing and selection.mp4 -
052. Chapter 8. Testing processes.mp4 -
053. Chapter 8. Model selection.mp4 -
054. Chapter 8. Post modelling checklist.mp4 -
055. Chapter 8. The Bike Shop sprint 2.mp4 -
056. Chapter 8. Summary.mp4 -
057. Chapter 9. Sprint 3 system building and production.mp4 -
058. Chapter 9. Types of ML implementations.mp4 -
059. Chapter 9. Nonfunctional review.mp4 -
060. Chapter 9. Implementing the production system.mp4 -
061. Chapter 9. Logging, monitoring, management, feedback, and documentation.mp4 -
062. Chapter 9. Pre-release testing.mp4 -
063. Chapter 9. Ethics review.mp4 -
064. Chapter 9. Promotion to production.mp4 -
065. Chapter 9. You aren’t done yet.mp4 -
066. Chapter 9. The Bike Shop sprint 3.mp4 -
067. Chapter 9. Summary.mp4 -
068. Chapter 10. Post project (sprint Ω).mp4 -
069. Chapter 10. Off your hands and into production.mp4 -
070. Chapter 10. Team post-project review.mp4 -
071. Chapter 10. Improving practice.mp4 -
072. Chapter 10. New technology adoption.mp4 -
073. Chapter 10. Case study.mp4 -
074. Chapter 10. Goodbye and good luck.mp4 -
075. Chapter 10. Summary.mp4 -
Bonus Resources.txt -
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Get Bonus Downloads Here.url -
183 bytes
001. Chapter 1. Introduction Delivering machine learning projects is hard; let’s do it better.mp4 -
18.9 MB
002. Chapter 1. Why is ML important.mp4 -
13.6 MB
003. Chapter 1. Other machine learning methodologies.mp4 -
13.7 MB
004. Chapter 1. Understanding this book.mp4 -
6.3 MB
005. Chapter 1. Case study The Bike Shop.mp4 -
2.7 MB
006. Chapter 1. Summary.mp4 -
1.9 MB
007. Chapter 2. Pre-project From opportunity to requirements.mp4 -
17.9 MB
008. Chapter 2. Project management infrastructure.mp4 -
6.2 MB
009. Chapter 2. Project requirements.mp4 -
27.6 MB
010. Chapter 2. Data.mp4 -
17.3 MB
011. Chapter 2. Security and privacy.mp4 -
4.9 MB
012. Chapter 2. Corporate responsibility, regulation, and ethical considerations.mp4 -
20.2 MB
013. Chapter 2. Development architecture and process.mp4 -
14.3 MB
014. Chapter 2. Summary.mp4 -
2.2 MB
015. Chapter 3. Pre-project From requirements to proposal.mp4 -
17.6 MB
016. Chapter 3. Create an estimate.mp4 -
49.4 MB
017. Chapter 3. Pre-salespre-project administration.mp4 -
3.4 MB
018. Chapter 3. Pre-projectpre-sales checklist.mp4 -
6.2 MB
019. Chapter 3. The Bike Shop pre-sales.mp4 -
28.8 MB
020. Chapter 3. Pre-project postscript.mp4 -
5.0 MB
021. Chapter 3. Summary.mp4 -
1.5 MB
022. Chapter 4. Getting started.mp4 -
4.7 MB
023. Chapter 4. Finalize team design and resourcing.mp4 -
3.6 MB
025. Chapter 4. Infrastructure plan.mp4 -
9.0 MB
026. Chapter 4. The data story.mp4 -
25.9 MB
027. Chapter 4. Privacy, security, and an ethics plan.mp4 -
3.8 MB
028. Chapter 4. Project roadmap.mp4 -
6.2 MB
029. Chapter 4. Sprint 0 checklist.mp4 -
2.5 MB
030. Chapter 4. Bike Shop project setup.mp4 -
30.4 MB
031. Chapter 4. Summary.mp4 -
2.1 MB
032. Chapter 5. Diving into the problem.mp4 -
4.3 MB
033. Chapter 5. Understanding the data.mp4 -
39.6 MB
034. Chapter 5. Business problem refinement, UX, and application design.mp4 -
24.7 MB
035. Chapter 5. Building data pipelines.mp4 -
44.8 MB
036. Chapter 5. Model repository and model versioning.mp4 -
17.9 MB
037. Chapter 5. Summary.mp4 -
2.5 MB
038. Chapter 6. EDA, ethics, and baseline evaluations.mp4 -
58.5 MB
039. Chapter 6. Ethics checkpoint.mp4 -
7.9 MB
040. Chapter 6. Baseline models and performance.mp4 -
3.5 MB
041. Chapter 6. What if there are problems.mp4 -
7.7 MB
042. Chapter 6. Pre-modeling checklist.mp4 -
843.8 KB
043. Chapter 6. The Bike Shop Pre-modelling.mp4 -
47.3 MB
045. Chapter 7. Making useful models with ML.mp4 -
10.0 MB
046. Chapter 7. Feature engineering and data augmentation.mp4 -
30.5 MB
048. Chapter 7. Making models with ML.mp4 -
27.3 MB
049. Chapter 7. Stinky, dirty, no good, smelly models.mp4 -
6.7 MB
050. Chapter 7. Summary.mp4 -
2.5 MB
051. Chapter 8. Testing and selection.mp4 -
9.2 MB
052. Chapter 8. Testing processes.mp4 -
69.9 MB
053. Chapter 8. Model selection.mp4 -
26.0 MB
054. Chapter 8. Post modelling checklist.mp4 -
4.3 MB
055. Chapter 8. The Bike Shop sprint 2.mp4 -
37.1 MB
056. Chapter 8. Summary.mp4 -
4.1 MB
057. Chapter 9. Sprint 3 system building and production.mp4 -
10.3 MB
058. Chapter 9. Types of ML implementations.mp4 -
31.2 MB
059. Chapter 9. Nonfunctional review.mp4 -
5.7 MB
060. Chapter 9. Implementing the production system.mp4 -
57.0 MB
061. Chapter 9. Logging, monitoring, management, feedback, and documentation.mp4 -
21.5 MB
062. Chapter 9. Pre-release testing.mp4 -
5.4 MB
063. Chapter 9. Ethics review.mp4 -
3.4 MB
064. Chapter 9. Promotion to production.mp4 -
4.9 MB
065. Chapter 9. You aren’t done yet.mp4 -
2.1 MB
066. Chapter 9. The Bike Shop sprint 3.mp4 -
15.9 MB
067. Chapter 9. Summary.mp4 -
4.2 MB
068. Chapter 10. Post project (sprint Ω).mp4 -
1.8 MB
069. Chapter 10. Off your hands and into production.mp4 -
30.7 MB
070. Chapter 10. Team post-project review.mp4 -
8.4 MB
071. Chapter 10. Improving practice.mp4 -
6.9 MB
072. Chapter 10. New technology adoption.mp4 -
3.2 MB
073. Chapter 10. Case study.mp4 -
1.9 MB
074. Chapter 10. Goodbye and good luck.mp4 -
2.3 MB
075. Chapter 10. Summary.mp4 -
2.7 MB
Bonus Resources.txt -
386 bytes
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