时间序列预测 英语是什么意思 - 英语翻译

• time series forecasting
• time series prediction
• time-series forecasting

在 中文 中使用 时间序列预测 的示例及其翻译为 英语

时间序列预测是机器学习的一个重要领域。
Time series forecasting is an important area of machine learning.

时间序列预测.
Time Series Prediction.

时间序列预测.
Time Series Forecasting.

时间序列预测技术.
Time-series forecasting techniques.

时间序列预测是机器学习的重要领域，往往被忽视。
Time series forecasting is a significant region of machine learning that's often neglected.

时间序列预测是机器学习的一个重要领域。
This makes time-series forecasting an important area of machine learning.

时间序列预测技术有什么不同？?
What are some different Time Series forecasting techniques?

时间序列预测.
The Time Series Forecasting.

时间序列预测是机器学习的重要领域，往往被忽视。
Time series forecasting is an important area of machine learning that is often neglected.

ARIMA是一种非常流行的时间序列预测统计方法。
ARIMA is a very popular statistical method for time series forecasting.

ARIMA介绍ARIMA是一种非常流行的时间序列预测统计方法。
ARIMA is a very popular statistical method for time series forecasting.

在这篇文章中，您将发现时间序列预测。
In this post, you will discover time series forecasting.

如何建立时间序列预测模型？?
How to use Time Series Forecast Indicator?

生成的预测：每月10K时间序列预测封顶.
Generated forecasts: Up to 10K time series forecasts per month.

创建几乎任何时间序列预测.
Create virtually any time series forecast.

时间序列预测.
The Time Sequence Forecasting.

时间序列预测的七种方法(附python代码).
Techniques for time series forecasting(with python codes).

LSTM做时间序列预测的问题.
I am implementing LSTM for time series forecasting.

深度学习，时间序列预测.
Deep Learning for Time Series Forecasting.

先知(像大多数时间序列预测技术一样)试图从过去的数据中捕捉趋势和季节性。
Prophet(like most time series forecasting techniques) tries to capture the trend and seasonality from past data.

我发现AutoARIMA是进行时间序列预测的最简单的方法。
I have found auto ARIMA to be the simplest technique for performing time series forecasting.

径向基函数网络具有多种用途，包括包括函数近似法、时间序列预测、分类和系统控制。
Radial basis function networks have many uses, including function approximation, time series prediction, classification, and system control.

让大家来看一些时间序列预测技术，看看它们在面对股价预测挑战时的表现。
Let's go ahead and look at some time series forecasting techniques to find out how they perform when faced with this stock prices prediction challenge.

需要统计建模（回归，分类，时间序列预测）/机器学习/文本挖掘/优化/可视化的研究经验。
Research experience on Statistical modeling(Regression, Classification, Time-series forecasting)/Machine Learning/Text Mining/Optimization/Visualization are desirable.

时间序列预测是机器学习的重要领域，往往被忽视。
The time series forecasting is the important field of machine studying which is frequently neglected.

近年来，神经网络的应用已显着扩展，从图像分割到自然语言处理再到时间序列预测。
Applications of neural networks have expanded significantly in recent years from image segmentation to natural language processing to time-series forecasting.

时间序列预测课程为学生提供在各种业务背景下构建和应用时间序列预测模型的基础知识。
The Time Series Forecasting course provides students with the foundational knowledge to build and apply time series forecasting models in a variety of business contexts.

更新现有应用程序，如推荐系统、搜索排名、时间序列预测等。
Modernize existing applications such as recommenders, search ranking, time series forecasting, etc.