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AWS ML Certification

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

By: Mitch Stone
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Decks in this class (12)

General ML Concepts
Gradient descent,
Regularistion,
Hyperparameters types
4  cards
Data Preparation Concepts
Feature selection,
Feature engineering,
Fe standardisation
16  cards
Machine Learning Algorithms
Logistic regression,
Linear regression,
Support vector machine
12  cards
Deep Learning Algorithms
Neural networks general,
Neural networks one epoch,
Convolutional neural network
5  cards
Model Evaluation
Confusion matrix,
Sensitivity,
Specificity
13  cards
AWS Data Services
S3,
Advantages and disadvantages of d...,
Simple ml workflow
22  cards
AI Services
Rekognition,
Rekognition potential use cases,
Rekognition video
16  cards
SageMaker
What is sagemaker,
Control,
Notebooks
22  cards
Miscellaneous
Securing sagemaker notebooks,
Sagemaker and vpc
2  cards
SageMaker Built-in Algorithms
Blazing text,
Object2vec,
Deepar forecasting
14  cards
Model training and tuning
Validation data set,
Bias variance tradeoff,
Using the learning curve to evalu...
19  cards
ACG Practice Questions
Your organization has given you s...,
You are trying to set up a crawle...,
You are a ml specialist within a ...
23  cards

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AWS ML Certification

  • Class purpose General learning

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