17 OCT 2024 - Welcome Back to TorrentFunk! Get your pirate hat back out. Streaming is dying and torrents are the new trend. Account Registration works again and so do Torrent Uploads. We invite you all to start uploading torrents again!
TORRENT DETAILS
Oreilly - Managing Machine Learning Projects, Video Edition
TORRENT SUMMARY
Status:
All the torrents in this section have been verified by our verification system
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
If You Need More Stuff, kindly Visit and Support Us -->> https://DevCourseWeb.com
Get More Tutorials and Support Us -->> https://CourseWikia.com
We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...
VISITOR COMMENTS (0 )
FILE LIST
Filename
Size
~Get Your Files Here !/001. Chapter 1. Introduction Delivering machine learning projects is hard; let’s do it better.mp4
18.9 MB
~Get Your Files Here !/002. Chapter 1. Why is ML important.mp4
13.6 MB
~Get Your Files Here !/003. Chapter 1. Other machine learning methodologies.mp4
13.7 MB
~Get Your Files Here !/004. Chapter 1. Understanding this book.mp4
6.3 MB
~Get Your Files Here !/005. Chapter 1. Case study The Bike Shop.mp4
2.7 MB
~Get Your Files Here !/006. Chapter 1. Summary.mp4
1.9 MB
~Get Your Files Here !/007. Chapter 2. Pre-project From opportunity to requirements.mp4
17.9 MB
~Get Your Files Here !/008. Chapter 2. Project management infrastructure.mp4
6.2 MB
~Get Your Files Here !/009. Chapter 2. Project requirements.mp4
27.6 MB
~Get Your Files Here !/010. Chapter 2. Data.mp4
17.3 MB
~Get Your Files Here !/011. Chapter 2. Security and privacy.mp4
4.9 MB
~Get Your Files Here !/012. Chapter 2. Corporate responsibility, regulation, and ethical considerations.mp4
20.2 MB
~Get Your Files Here !/013. Chapter 2. Development architecture and process.mp4
14.3 MB
~Get Your Files Here !/014. Chapter 2. Summary.mp4
2.2 MB
~Get Your Files Here !/015. Chapter 3. Pre-project From requirements to proposal.mp4
17.6 MB
~Get Your Files Here !/016. Chapter 3. Create an estimate.mp4
49.4 MB
~Get Your Files Here !/017. Chapter 3. Pre-salespre-project administration.mp4
3.4 MB
~Get Your Files Here !/018. Chapter 3. Pre-projectpre-sales checklist.mp4
6.2 MB
~Get Your Files Here !/019. Chapter 3. The Bike Shop pre-sales.mp4
28.8 MB
~Get Your Files Here !/020. Chapter 3. Pre-project postscript.mp4
5 MB
~Get Your Files Here !/021. Chapter 3. Summary.mp4
1.5 MB
~Get Your Files Here !/022. Chapter 4. Getting started.mp4
4.7 MB
~Get Your Files Here !/023. Chapter 4. Finalize team design and resourcing.mp4
3.6 MB
~Get Your Files Here !/025. Chapter 4. Infrastructure plan.mp4
9 MB
~Get Your Files Here !/026. Chapter 4. The data story.mp4
25.9 MB
~Get Your Files Here !/027. Chapter 4. Privacy, security, and an ethics plan.mp4
3.8 MB
~Get Your Files Here !/028. Chapter 4. Project roadmap.mp4
6.2 MB
~Get Your Files Here !/029. Chapter 4. Sprint 0 checklist.mp4
2.5 MB
~Get Your Files Here !/030. Chapter 4. Bike Shop project setup.mp4
30.4 MB
~Get Your Files Here !/031. Chapter 4. Summary.mp4
2.1 MB
~Get Your Files Here !/032. Chapter 5. Diving into the problem.mp4
4.3 MB
~Get Your Files Here !/033. Chapter 5. Understanding the data.mp4
39.6 MB
~Get Your Files Here !/034. Chapter 5. Business problem refinement, UX, and application design.mp4
24.7 MB
~Get Your Files Here !/035. Chapter 5. Building data pipelines.mp4
44.8 MB
~Get Your Files Here !/036. Chapter 5. Model repository and model versioning.mp4
17.9 MB
~Get Your Files Here !/037. Chapter 5. Summary.mp4
2.5 MB
~Get Your Files Here !/038. Chapter 6. EDA, ethics, and baseline evaluations.mp4
58.5 MB
~Get Your Files Here !/039. Chapter 6. Ethics checkpoint.mp4
7.9 MB
~Get Your Files Here !/040. Chapter 6. Baseline models and performance.mp4
3.5 MB
~Get Your Files Here !/041. Chapter 6. What if there are problems.mp4
7.7 MB
~Get Your Files Here !/042. Chapter 6. Pre-modeling checklist.mp4
843.8 KB
~Get Your Files Here !/043. Chapter 6. The Bike Shop Pre-modelling.mp4
47.3 MB
~Get Your Files Here !/045. Chapter 7. Making useful models with ML.mp4
10 MB
~Get Your Files Here !/046. Chapter 7. Feature engineering and data augmentation.mp4
30.5 MB
~Get Your Files Here !/048. Chapter 7. Making models with ML.mp4
27.3 MB
~Get Your Files Here !/049. Chapter 7. Stinky, dirty, no good, smelly models.mp4
6.7 MB
~Get Your Files Here !/050. Chapter 7. Summary.mp4
2.5 MB
~Get Your Files Here !/051. Chapter 8. Testing and selection.mp4
9.2 MB
~Get Your Files Here !/052. Chapter 8. Testing processes.mp4
69.9 MB
~Get Your Files Here !/053. Chapter 8. Model selection.mp4
26 MB
~Get Your Files Here !/054. Chapter 8. Post modelling checklist.mp4
4.3 MB
~Get Your Files Here !/055. Chapter 8. The Bike Shop sprint 2.mp4
37.1 MB
~Get Your Files Here !/056. Chapter 8. Summary.mp4
4.1 MB
~Get Your Files Here !/057. Chapter 9. Sprint 3 system building and production.mp4
10.3 MB
~Get Your Files Here !/058. Chapter 9. Types of ML implementations.mp4
31.2 MB
~Get Your Files Here !/059. Chapter 9. Nonfunctional review.mp4
5.7 MB
~Get Your Files Here !/060. Chapter 9. Implementing the production system.mp4
57 MB
~Get Your Files Here !/061. Chapter 9. Logging, monitoring, management, feedback, and documentation.mp4
21.5 MB
~Get Your Files Here !/062. Chapter 9. Pre-release testing.mp4
5.4 MB
~Get Your Files Here !/063. Chapter 9. Ethics review.mp4
3.4 MB
~Get Your Files Here !/064. Chapter 9. Promotion to production.mp4
4.9 MB
~Get Your Files Here !/065. Chapter 9. You aren’t done yet.mp4
2.1 MB
~Get Your Files Here !/066. Chapter 9. The Bike Shop sprint 3.mp4
15.9 MB
~Get Your Files Here !/067. Chapter 9. Summary.mp4
4.2 MB
~Get Your Files Here !/068. Chapter 10. Post project (sprint Ω).mp4
1.8 MB
~Get Your Files Here !/069. Chapter 10. Off your hands and into production.mp4
30.7 MB
~Get Your Files Here !/070. Chapter 10. Team post-project review.mp4
8.4 MB
~Get Your Files Here !/071. Chapter 10. Improving practice.mp4
6.9 MB
~Get Your Files Here !/072. Chapter 10. New technology adoption.mp4
3.2 MB
~Get Your Files Here !/073. Chapter 10. Case study.mp4
1.9 MB
~Get Your Files Here !/074. Chapter 10. Goodbye and good luck.mp4
2.3 MB
~Get Your Files Here !/075. Chapter 10. Summary.mp4