SageMaker Algorithms Flashcards

1
Q

Predict if an item belongs to a category: an email spam filter

A

Factorization Machines, K-Nearest Neighbors (k-NN), Linear Learner, XGBoost with Amazon SageMaker

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2
Q

Predict a numeric/continuous value: estimate the value of a house

A

Factorization Machines, K-Nearest Neighbors (k-NN), Linear Learner, XGBoost with Amazon SageMaker

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3
Q

Based on historical data for a behavior, predict future behavior: predict sales on a new product based on previous sales data.

A

SageMaker DeepAR

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4
Q

Improve the data embeddings of the high-dimensional objects: identify duplicate support tickets or find the correct routing based on similarity of text in the tickets

A

Object2Vec Algorithm

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5
Q

Drop those columns from a dataset that have a weak relation with the label/target variable: the color of a car when predicting its mileage.

A

Principal Component Analysis (PCA) Algorithm

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6
Q

Detect abnormal behavior in application: spot when an IoT sensor is sending abnormal readings

A

Random Cut Forest (RCF) Algorithm

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7
Q

Protect your application from suspicious users: detect if an IP address accessing a service might be from a bad actor

A

IP Insights

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8
Q

Group similar objects/data together: find high-, medium-, and low-spending customers from their transaction histories

A

K-Means Algorithm

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9
Q

Organize a set of documents into topics (not known in advance): tag a document as belonging to a medical category based on the terms used in the document.

A

Latent Dirichlet Allocation (LDA) Algorithm, Neural Topic Model (NTM) Algorithm

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10
Q

Assign pre-defined categories to documents in a corpus: categorize books in a library into academic disciplines

A

BlazingText algorithm, Text Classification - TensorFlow

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11
Q

Convert text from one language to other: Spanish to English

A

Sequence-to-Sequence Algorithm

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12
Q

Summarize a long text corpus: an abstract for a research paper

A

Sequence-to-Sequence Algorithm

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13
Q

Convert audio files to text: transcribe call center conversations for further analysis

A

Sequence-to-Sequence Algorithm

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14
Q

Label/tag an image based on the content of the image: alerts about adult content in an image

A

Image Classification - MXNet

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15
Q

Classify something in an image using transfer learning.

A

Image Classification - TensorFlow

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16
Q

Detect people and objects in an image: police review a large photo gallery for a missing person

A

Object Detection - MXNet, Object Detection - TensorFlow

17
Q

Tag every pixel of an image individually with a category: self-driving cars prepare to identify objects in their way

A

Semantic Segmentation Algorithm