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on 03-Jun-2024 (Mon)

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Flashcard 7628371922188

Tags
#deep-learning #keras #lstm #python #sequence
Question
For a multiclass classification problem, the results may be in the form of an array of probabilities (assuming a one hot encoded output variable) that may need to be converted to a single class output prediction using the [...]() NumPy function.
Answer
argmax

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ion problem, the results may be in the form of an array of probabilities (assuming a one hot encoded output variable) that may need to be converted to a single class output prediction using the <span>argmax() NumPy function. <span>

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Flashcard 7628374543628

Tags
#recurrent-neural-networks #rnn
Question
In this paper, we offer marketing analysts an alternative to these models by developing a deep learning based approach that does not rely on any ex-ante data [...] or feature engineering, but instead automatically detects behavioral dynamics like seasonality or changes in inter-event timing patterns by learning directly from the prior transaction history
Answer
labelling

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In this paper, we offer marketing analysts an alternative to these models by developing a deep learning based approach that does not rely on any ex-ante data labelling or feature engineering, but instead automatically detects behavioral dynamics like seasonality or changes in inter-event timing patterns by learning directly from the prior transaction

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Flashcard 7628973018380

Tags
#deep-learning #keras #lstm #python #sequence
Question
Normalization is a rescaling of the data from the original range so that all values are within the range of [...].
Answer
0 and 1

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Normalization is a rescaling of the data from the original range so that all values are within the range of 0 and 1.

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Flashcard 7628974853388

Tags
#ML-engineering #ML_in_Action #learning #machine #software-engineering
Question

Scoping and research

If you [...] halfway through development, you’ll face a hard conversation with the business to explain that the project’s delays are due to you not doing your homework

Answer
switch your approach

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Scoping and research If you switch your approach halfway through development, you’ll face a hard conversation with the business to explain that the project’s delays are due to you not doing your homework

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Annotation 7628976164108

#recurrent-neural-networks #rnn
We demonstrate how firms operating in non-contractual business settings can benefit from the automatic feature extraction capabilities of deep learning models for predictive customer base analysis
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We demonstrate how firms operating in non-contractual business settings can benefit from the automatic feature extraction capabilities of deep learning models for predictive customer base analysis. Our proposed model informs managers on both short- and long-term forecasts of individual customer behavior and helps to timely uncover business opportunities as well as potential custo

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Flashcard 7628977999116

Tags
#ML_in_Action #learning #machine #software-engineering
Question
Part 3 (chapters 14–16) focuses on “the after”: specifically, considerations related to streamlining production release, retraining, monitoring, and attribution for a project. With examples focused on A/B testing, [...], and a passive retraining system, you’ll be shown how to implement systems and architectures that can ensure that you’re building the minimally complex solution to solve a business problem with ML
Answer
feature stores

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16) focuses on “the after”: specifically, considerations related to streamlining production release, retraining, monitoring, and attribution for a project. With examples focused on A/B testing, <span>feature stores, and a passive retraining system, you’ll be shown how to implement systems and architectures that can ensure that you’re building the minimally complex solution to solve a business prob

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Flashcard 7628979309836

Tags
#deep-learning #keras #lstm #python #sequence
Question
Batch : A pass through a subset of samples in the training dataset after which the [...] are updated. One epoch is comprised of one or more batches
Answer
network weights

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Batch : A pass through a subset of samples in the training dataset after which the network weights are updated. One epoch is comprised of one or more batches

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Flashcard 7628981144844

Tags
#deep-learning #keras #lstm #python #sequence
Question
the 4 different types of sequence prediction problems: 1. Sequence Prediction. 2. Sequence Classification. 3. Sequence [...]. 4. Sequence-to-Sequence Prediction
Answer
Generation

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the 4 different types of sequence prediction problems: 1. Sequence Prediction. 2. Sequence Classification. 3. Sequence Generation. 4. Sequence-to-Sequence Prediction

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Flashcard 7628983504140

Tags
#deep-learning #keras #lstm #python #sequence
Question
The LSTM expects input data to have the dimensions: samples, [...], and features.
Answer
time steps

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The LSTM expects input data to have the dimensions: samples, time steps, and features.

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