Optimizing your Machine Learning workflows on containers

Session's Guest Facilitator: Emmanuel Bakare (DevOps Engineer with Goldman Sachs and a Google Cloud-Certified Cloud Architect).

LinkedIn: https://www.linkedin.com/in/emmanuel-bakare-1b8018122/

Twitter: https://twitter.com/TiemmaBakare

GitHub: https://github.com/Tiemma

Bakare's Website: www.bakman.build

RESOURCES USED IN THE WORKSHOP:
GitHub Repo: https://github.com/tiemma/ph-school-demo
Slide: https://drive.google.com/file/d/1ptlhddyMILTgpvLTatXeY9wo68QxR41A/view?usp=sharing

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WORKSHOP DESCRIPTION
This week's guest facilitator is Bakare Emmanuel. He is a DevOps Engineer with effective skills in Containers, Virtualisation and Linux administration, and most recently joined Goldman Sachs.

He will walk you through how to optimize your Machine Learning workflows and processes using containers (docker), and Amazon SageMaker, showing you how easy it is to set up the necessary environment for your project and get going.

In this workshop, you are going to be learning;
✅ How to set-up your ML development environment without any hassle.
✅ Best practices for reproducible and repeatable ML projects
✅ A walkthrough on how to serve your models for deployment and testing on Amazon SageMaker

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????Audience: Intermediates - Advanced practitioners in Machine Learning

?Pre-requisite:
* You must be familiar with Machine Learning concepts and terminologies.
* You must have created or worked with a model before (such as regression or classification).
* Having worked on a project will be an added bonus.

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This stream is part of the Practical Machine Learning course program offered by the Port Harcourt School of AI. Although registration is closed for the program, you can learn about it here; https://blog.phcschoolofai.org/announcing-port-harcourt-school-of-ais-new-machine-learning-course-ck6kce1fz0146d9s1rk4pp1pa

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WE JUST LAUNCHED OUR PODCAST SHOW; "THE AFRICAN DATA SCIENTIST".

Visit https://www.anchor.fm/african-data-scientist to listen to our shows

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SUPPORT THE COMMUNITY (??)

We found the best books for you to get started with Regression Analysis and Machine Learning here [Affiliate Links], you will support the community by purchasing any of them;

- Data Science From Scratch Using First Principles: https://amzn.to/2WiJONx

- Hands-On Machine Learning With Scikit-Learn, Tensorflow, and Keras: https://amzn.to/2Vu2F9k

- Python Machine Learning: Machine Learning and Deep Learning with Python, Scikit-learn, and TensorFlow 2, 3rd Edition: https://amzn.to/3d5wm6o

- Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data: https://amzn.to/3aY1zqJ

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WANT TO GET EXPERTS' INSIGHTS IN AI AND DATA SCIENCE? CHECK OUT THESE INTERVIEWS WITH EXPERTS

❓Insights In AI and Data Science (Episode 5): Q and A with Aurélien Géron, Former YouTube Product Manager:
https://blog.phcschoolofai.org/insights-in-ai-and-data-science-episode-5-q-and-a-with-aurelien-geron-former-youtube-product-manager-ck97icf9e019zf3s1zml620dz

❓Insights In AI and Data Science (Episode 4): Q and A with Sayak Paul, Google Developer Expert (GDE) in Machine Learning: https://blog.phcschoolofai.org/insights-in-ai-and-data-science-episode-4-q-and-a-with-sayak-paul-google-developer-expert-gde-in-machine-learning-ck91vpv4e02lm7us1swnwvsof

❓Insights In AI and Data Science (Episode 6): Q and A with Emmanuel Okorie, Data Scientist at Maon Technology, and Formerly at Carbon (PayLater): https://blog.phcschoolofai.org/insights-in-ai-and-data-science-episode-6-q-and-a-with-emmanuel-okorie-data-scientist-at-maon-technology-and-formerly-at-carbon-paylater-ck9ro8cl5008x6es12qw4s6ht

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