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on 10-May-2024 (Fri)

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#data-science #infrastructure
Previously, many challenges in architecting systems for high-performance computing revolved around resource management: how to guard and ration access to limited compute and storage resources, and, correspondingly, how to make resource usage as efficient as possible. The cloud allows us to change our mindset. All the clouds provide a data layer, like Amazon S3, which provides a virtually unlimited amount of storage with close to a per- fect level of durability and high availability. Similarly, they provide nearly infinite, elas- tically scaling compute resources like Amazon Elastic Compute Cloud (Amazon EC2) and the abstractions built on top of it. We can architect our systems with the assump- tion that we have an abundant amount of compute resources and storage available and focus on cost-effectiveness and productivity instead.
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Flashcard 7626603236620

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#deep-learning #has-images #keras #lstm #python #sequence
[unknown IMAGE 7104054824204]
Question
You can specify the input shape argument that expects a tuple containing the number of time steps and the number of [...]
Answer
features

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You can specify the input shape argument that expects a tuple containing the number of time steps and the number of features

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Flashcard 7626604809484

Tags
#deep-learning #keras #lstm #python #sequence
Question

One Hot Encoding

For categorical variables where no such [...] relationship exists, the integer encoding is not enough.

Answer
ordinal

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One Hot Encoding For categorical variables where no such ordinal relationship exists, the integer encoding is not enough.

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