| 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 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 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 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 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 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 | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 74 total files | |||
Managing Machine Learning Projects, Video Edition
https://FreeCourseWeb.com
Released 7/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 10h 18m | Size: 1.1 GB
Guide machine learning projects from design to production with the techniques in this one-of-a-kind project management guide. No ML skills required
In Managing Machine Learning Projects you’ll learn essential machine learning project management techniques, including
Understanding an ML project’s requirements
Setting up the infrastructure for the project and resourcing a team
Working with clients and other stakeholders
Dealing with data resources and bringing them into the project for use
Handling the lifecycle of models in the project
Managing the application of ML algorithms
Evaluating the performance of algorithms and models
Making decisions about which models to adopt for delivery
Taking models through development and testing
Integrating models with production systems to create effective applications
Steps and behaviors for managing the ethical implications of ML technology
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