Oreilly - Managing Machine Learning Projects, Video Edition

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Oreilly - Managing Machine Learning Projects, Video Edition

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Oreilly - Managing Machine Learning Projects, Video Edition
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001. Chapter 1. Introduction Delivering machine learning projects is hard; let’s do it better.mp4
MP4
18.9 MB
002. Chapter 1. Why is ML important.mp4
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13.6 MB
003. Chapter 1. Other machine learning methodologies.mp4
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13.7 MB
004. Chapter 1. Understanding this book.mp4
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6.3 MB
005. Chapter 1. Case study The Bike Shop.mp4
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2.7 MB
006. Chapter 1. Summary.mp4
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1.9 MB
007. Chapter 2. Pre-project From opportunity to requirements.mp4
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17.9 MB
008. Chapter 2. Project management infrastructure.mp4
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6.2 MB
009. Chapter 2. Project requirements.mp4
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27.6 MB
010. Chapter 2. Data.mp4
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17.3 MB
011. Chapter 2. Security and privacy.mp4
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4.9 MB
012. Chapter 2. Corporate responsibility, regulation, and ethical considerations.mp4
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20.2 MB
013. Chapter 2. Development architecture and process.mp4
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14.3 MB
014. Chapter 2. Summary.mp4
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2.2 MB
015. Chapter 3. Pre-project From requirements to proposal.mp4
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17.6 MB
016. Chapter 3. Create an estimate.mp4
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49.4 MB
017. Chapter 3. Pre-salespre-project administration.mp4
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3.4 MB
018. Chapter 3. Pre-projectpre-sales checklist.mp4
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6.2 MB
019. Chapter 3. The Bike Shop pre-sales.mp4
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28.8 MB
020. Chapter 3. Pre-project postscript.mp4
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5 MB
021. Chapter 3. Summary.mp4
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1.5 MB
022. Chapter 4. Getting started.mp4
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4.7 MB
023. Chapter 4. Finalize team design and resourcing.mp4
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3.6 MB
025. Chapter 4. Infrastructure plan.mp4
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9 MB
026. Chapter 4. The data story.mp4
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25.9 MB
027. Chapter 4. Privacy, security, and an ethics plan.mp4
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3.8 MB
028. Chapter 4. Project roadmap.mp4
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6.2 MB
029. Chapter 4. Sprint 0 checklist.mp4
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2.5 MB
030. Chapter 4. Bike Shop project setup.mp4
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30.4 MB
031. Chapter 4. Summary.mp4
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2.1 MB
032. Chapter 5. Diving into the problem.mp4
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4.3 MB
033. Chapter 5. Understanding the data.mp4
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39.6 MB
034. Chapter 5. Business problem refinement, UX, and application design.mp4
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24.7 MB
035. Chapter 5. Building data pipelines.mp4
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44.8 MB
036. Chapter 5. Model repository and model versioning.mp4
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17.9 MB
037. Chapter 5. Summary.mp4
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2.5 MB
038. Chapter 6. EDA, ethics, and baseline evaluations.mp4
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58.5 MB
039. Chapter 6. Ethics checkpoint.mp4
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7.9 MB
040. Chapter 6. Baseline models and performance.mp4
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3.5 MB
041. Chapter 6. What if there are problems.mp4
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7.7 MB
042. Chapter 6. Pre-modeling checklist.mp4
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843.8 KB
043. Chapter 6. The Bike Shop Pre-modelling.mp4
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47.3 MB
045. Chapter 7. Making useful models with ML.mp4
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10 MB
046. Chapter 7. Feature engineering and data augmentation.mp4
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30.5 MB
048. Chapter 7. Making models with ML.mp4
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27.3 MB
049. Chapter 7. Stinky, dirty, no good, smelly models.mp4
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6.7 MB
050. Chapter 7. Summary.mp4
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2.5 MB
051. Chapter 8. Testing and selection.mp4
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9.2 MB
052. Chapter 8. Testing processes.mp4
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69.9 MB
053. Chapter 8. Model selection.mp4
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26 MB
054. Chapter 8. Post modelling checklist.mp4
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4.3 MB
055. Chapter 8. The Bike Shop sprint 2.mp4
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37.1 MB
056. Chapter 8. Summary.mp4
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4.1 MB
057. Chapter 9. Sprint 3 system building and production.mp4
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10.3 MB
058. Chapter 9. Types of ML implementations.mp4
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31.2 MB
059. Chapter 9. Nonfunctional review.mp4
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5.7 MB
060. Chapter 9. Implementing the production system.mp4
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57 MB
061. Chapter 9. Logging, monitoring, management, feedback, and documentation.mp4
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21.5 MB
062. Chapter 9. Pre-release testing.mp4
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5.4 MB
063. Chapter 9. Ethics review.mp4
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3.4 MB
064. Chapter 9. Promotion to production.mp4
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4.9 MB
065. Chapter 9. You aren’t done yet.mp4
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2.1 MB
066. Chapter 9. The Bike Shop sprint 3.mp4
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15.9 MB
067. Chapter 9. Summary.mp4
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4.2 MB
068. Chapter 10. Post project (sprint Ω).mp4
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1.8 MB
069. Chapter 10. Off your hands and into production.mp4
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30.7 MB
070. Chapter 10. Team post-project review.mp4
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8.4 MB
071. Chapter 10. Improving practice.mp4
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6.9 MB
072. Chapter 10. New technology adoption.mp4
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3.2 MB
073. Chapter 10. Case study.mp4
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1.9 MB
074. Chapter 10. Goodbye and good luck.mp4
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2.3 MB
075. Chapter 10. Summary.mp4
MP4
2.7 MB
Bonus Resources.txt
TXT
409.6 B
Get Bonus Downloads Here.url
URL
204.8 B

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