managed_ml_systems_and_iot
Managed Machine Learning Systems and Internet of Things Live Lesson
View the Project on GitHub noahgift/managed_ml_systems_and_iot
Managed Machine Learning Systems and Internet of Things
Learn the building blocks of Managed ML and Hardware AI with Python
This is a course on Safari, you can book an upcoming live training here.
Pragmatic AI Labs
These notebooks and tutorials were produced by Pragmatic AI Labs. You can continue learning about these topics by:
- Buying a copy of Pragmatic AI: An Introduction to Cloud-Based Machine Learning
- Reading online with Safari: Pragmatic AI: An Introduction to Cloud-Based Machine Learning, First Edition
- Watching video Essential Machine Learning and AI with Python and Jupyter Notebook-Video-SafariOnline on Safari Books Online.
- Purchasing video Essential Machine Learning and AI with Python and Jupyter Notebook- Purchase Video
- Register for an upcoming online training on Safari.
- Browsing Pragmatic AI Source Code
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- Viewing more content at Pragmatic AI Labs
Colab Noteboks
Title: Managed Machine Learning Systems and Internet of Things
Description: Learn the building blocks of Managed ML and Hardware AI with Python
Course Dates:
- September 11 & 12, 2018
- October 4 & 5th, 2018
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Day 1 (About 3 Hours): Hardware AI & Cloud-Native AI Platforms
- Part A: Chips
- Part B: Cloud-Native Hardware AI Platforms
- Part C: Edge Machine Learning
- Part D: TensorFlow Russian Dolls
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Day 2 (About 3 Hours): Managed ML & AutoML
- Part D: Managed ML & AutoML Overview
- Part E: AWS Managed ML & AutoML
- Part F: GCP Managed ML & AutoML
- Part G: Azure Managed ML & AutoML
You can also download notebooks here: https://github.com/noahgift/managed_ml_systems_and_iot/tree/master/notebooks
References
- Forbes: How Vertically Integrated AI Stacks Will Affect IT Organizations
- Forbes: Cloud Native Machine Learning and AI
- Forbes: Why There will Be No Data Science Job Titles in 2029
Text
The text content of notebooks is released under the CC-BY-NC-ND license
Additional Related Topics from Noah Gift
His most recent books are:
- Pragmatic A.I.: An introduction to Cloud-Based Machine Learning (Pearson, 2018)
- Python for DevOps (O’Reilly, 2020).
His most recent video courses are:
- Essential Machine Learning and A.I. with Python and Jupyter Notebook LiveLessons (Pearson, 2018)
- AWS Certified Machine Learning-Specialty (ML-S) (Pearson, 2019)
- Python for Data Science Complete Video Course Video Training (Pearson, 2019)
- AWS Certified Big Data - Specialty Complete Video Course and Practice Test Video Training (Pearson, 2019)
- Building A.I. Applications on Google Cloud Platform (Pearson, 2019)
- Pragmatic AI and Machine Learning Core Principles (Pearson, 2019)
- Data Engineering with Python and AWS Lambda (Pearson, 2019)
His most recent online courses are: