Oreilly - Managing Machine Learning Projects, Video Edition --> [ FreeCourseWeb ]
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Oreilly - Managing Machine Learning Projects, Video Edition --> [ FreeCourseWeb ]
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Torrent File Content (74 files)
[ FreeCourseWeb.com ] Oreilly - Managing Machine Learning Projects, Video Edition
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Get Bonus Downloads Here.url -
183 bytes
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001. Chapter 1. Introduction Delivering machine learning projects is hard; let’s do it better.mp4 -
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 -
13.58 MB
003. Chapter 1. Other machine learning methodologies.mp4 -
13.65 MB
004. Chapter 1. Understanding this book.mp4 -
6.34 MB
005. Chapter 1. Case study The Bike Shop.mp4 -
2.69 MB
006. Chapter 1. Summary.mp4 -
1.86 MB
007. Chapter 2. Pre-project From opportunity to requirements.mp4 -
17.9 MB
008. Chapter 2. Project management infrastructure.mp4 -
6.19 MB
009. Chapter 2. Project requirements.mp4 -
27.56 MB
010. Chapter 2. Data.mp4 -
17.31 MB
011. Chapter 2. Security and privacy.mp4 -
4.9 MB
012. Chapter 2. Corporate responsibility, regulation, and ethical considerations.mp4 -
20.24 MB
013. Chapter 2. Development architecture and process.mp4 -
14.32 MB
014. Chapter 2. Summary.mp4 -
2.15 MB
015. Chapter 3. Pre-project From requirements to proposal.mp4 -
17.56 MB
016. Chapter 3. Create an estimate.mp4 -
49.36 MB
017. Chapter 3. Pre-salespre-project administration.mp4 -
3.41 MB
018. Chapter 3. Pre-projectpre-sales checklist.mp4 -
6.2 MB
019. Chapter 3. The Bike Shop pre-sales.mp4 -
28.79 MB
020. Chapter 3. Pre-project postscript.mp4 -
5.04 MB
021. Chapter 3. Summary.mp4 -
1.5 MB
022. Chapter 4. Getting started.mp4 -
4.68 MB
023. Chapter 4. Finalize team design and resourcing.mp4 -
3.62 MB
025. Chapter 4. Infrastructure plan.mp4 -
8.99 MB
026. Chapter 4. The data story.mp4 -
25.89 MB
027. Chapter 4. Privacy, security, and an ethics plan.mp4 -
3.77 MB
028. Chapter 4. Project roadmap.mp4 -
6.21 MB
029. Chapter 4. Sprint 0 checklist.mp4 -
2.46 MB
030. Chapter 4. Bike Shop project setup.mp4 -
30.41 MB
031. Chapter 4. Summary.mp4 -
2.07 MB
032. Chapter 5. Diving into the problem.mp4 -
4.25 MB
033. Chapter 5. Understanding the data.mp4 -
39.59 MB
034. Chapter 5. Business problem refinement, UX, and application design.mp4 -
24.69 MB
035. Chapter 5. Building data pipelines.mp4 -
44.78 MB
036. Chapter 5. Model repository and model versioning.mp4 -
17.94 MB
037. Chapter 5. Summary.mp4 -
2.49 MB
038. Chapter 6. EDA, ethics, and baseline evaluations.mp4 -
58.52 MB
039. Chapter 6. Ethics checkpoint.mp4 -
7.88 MB
040. Chapter 6. Baseline models and performance.mp4 -
3.48 MB
041. Chapter 6. What if there are problems.mp4 -
7.67 MB
042. Chapter 6. Pre-modeling checklist.mp4 -
843.79 KB
043. Chapter 6. The Bike Shop Pre-modelling.mp4 -
47.27 MB
045. Chapter 7. Making useful models with ML.mp4 -
9.97 MB
046. Chapter 7. Feature engineering and data augmentation.mp4 -
30.46 MB
048. Chapter 7. Making models with ML.mp4 -
27.35 MB
049. Chapter 7. Stinky, dirty, no good, smelly models.mp4 -
6.7 MB
050. Chapter 7. Summary.mp4 -
2.46 MB
051. Chapter 8. Testing and selection.mp4 -
9.17 MB
052. Chapter 8. Testing processes.mp4 -
69.88 MB
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