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Machine Learning Engineering for Production (MLOps)

This class was created by Brainscape user Mahsa Zamanifard. Visit their profile to learn more about the creator.

By: Mahsa Zamanifard
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Decks in this class (15)

W1-Introduction to Machine Learning in Production
What are the steps of an ml proje...,
In a lot of research work or acad...,
How do you deploy a speech system
22  cards
W2-Introduction to Machine Learning in Production
A ml algorithm with low average e...,
How do we use human level perform...,
Tthe best practices for establish...
18  cards
W3-Introduction to Machine Learning in Production
What can we do to improve label c...,
We raise human level performance ...,
When the ground truth label is ex...
11  cards
W1- Machine Learning Data Lifecycle in Production
A directed acyclic graph dag is a...,
What are machine learning orchest...,
What are the challenges in produc...
16  cards
W2- Machine Learning Data Lifecycle in Production
Normalizations minmaxscaler are u...,
What are feature crosses footnote...,
You are working on a taxi tip pre...
12  cards
W3- Machine Learning Data Lifecycle in Production
In the event of unexpected pipeli...,
In addition to the executor where...,
Mlmd is a library for tracking an...
10  cards
W4- Machine Learning Data Lifecycle in Production
How is semi supervised labeling d...,
The intelligent sampling of ____ ...
2  cards
W1-Machine Learning Modeling Pipelines in Production
Neural architecture search or nas...,
The search space defines the rang...,
The performance estimation strate...
9  cards
W2-Machine Learning Modeling Pipelines in Production
Neural network models as part of ...,
Some feature representations such...,
Why data being high dimensional c...
18  cards
W3-Machine Learning Modeling Pipelines in Production
What are the 2 basic ways to perf...,
How is data parallelism done,
Footnote distributed training 01 ...
21  cards
W4-Machine Learning Modeling Pipelines in Production
At a high level there are two mai...,
What s the difference between bla...,
____ is an example of a tool for ...
16  cards
W5-Machine Learning Modeling Pipelines in Production
Interpretability methods can be i...,
Interpretability methods can also...,
What is the difference between pe...
14  cards
W1-Introduction to Model Serving
When serving an ml model in a pro...,
What is docker footnoteungraded l...,
What are dockerfile dockerimage a...
7  cards
W2-Model Serving Architecture
Two main places to run infrastruc...,
There are two main ways of scalin...,
Horizontal scaling is generally r...
3  cards
W3-Experiment Tracking
Notebooks are often used for init...,
Versioning data is crucial to tra...
2  cards

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Machine Learning Engineering for Production (MLOps)

  • Class purpose General learning

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