Machine learning as a service
This is one of those things that you are going to start running into within enterprises during the course of discussing machine learning. You may very well want to see if you can get access to machine learning as a service. This is one way to get going and it could be part of your strategy. One of the organizations that will attempt to sell you machine learning as a service happens to be Microsoft with the Azure Machine Learning service.[1] They are proudly selling the argument that they will help you and your organization, “Accelerate the end-to-end machine learning lifecycle.” That claim does sound promising and the idea of getting access to machine learning as a service does seem enticing. Getting somebody to help package up the complexities of delivering machine learning in an easy to use framework certainly is a great way to accelerate sales.
For fun you might want to consider going out and doing a quick Google search for “Machine Learning as a Service” or “MLaaS” and looking at the results.[2] Please accept my apologies in advance for all the MLOps and other machine learning advertisements that will follow your browsing around the internet. Within all of my research and ongoing efforts to learn about machine learning I have very rarely if ever run into the use of the acronym “MLaaS” in the wild. For the most part the organizations that will really try to sell you machine learning as a service are going to be the ones you expect. You have the aforementioned Microsoft Azure Machine Learning service, IBM Watson machine learning, GCP, and AWS.[3] Keep in mind that the reason you see IBM Watson mentioned with the big 3 is the massive amount of promotion and advertisements that went into bringing Watson to the forefront of the public mind.[4]
Links and thoughts:
I watched and oddly really enjoyed this film on Netflix called, “Framing John Delorean”
https://www.netflix.com/us/title/81092223
Yannic Kilcher was at it again this week with “[ML News] Facebook AI adapting robots | Baidu autonomous excavators | Happy Birthday EleutherAI”
This week I watched Linus and Luke on “The Most Exciting Gaming PC in YEARS - WAN Show July 16, 2021”
I watched this video from Microsoft Developer “AI Show Live | Best of AI Show (pre-recorded) | Episode 22”
Top 6 Tweets of the week:
Footnotes:
[1] https://azure.microsoft.com/en-us/services/machine-learning/
[2] https://www.wearebrain.com/blog/ai-data-science/machine-learning-as-a-service-mlaas/
[3] https://aws.amazon.com/machine-learning/, https://azure.microsoft.com/en-us/services/machine-learning/, https://www.ibm.com/cloud/watson-studio, or https://cloud.google.com/automl
[4] https://www.nytimes.com/2021/07/16/technology/what-happened-ibm-watson.html
What’s next for The Lindahl Letter?
Week 27: The future of machine learning
Week 28: Machine learning certifications?
Week 29: Machine learning feature selection
Week 30: Integrations and your ML layer
Week 31: Edge ML integrations
I’ll try to keep the what’s next list forward looking with at least five weeks of posts in planning or review. If you enjoyed reading this content, then please take a moment and share it with a friend.