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Web Traffic Forecasting Using Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Hello everyone, in this article we will pick the use case of sequence modelling, which is time series forecasting. The post Web Traffic Forecasting Using Deep Learning appeared first on Analytics Vidhya.

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Introduction to Artificial Neural Networks

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction: Artificial Neural Networks (ANN) are algorithms based on brain function and are used to model complicated patterns and forecast issues. The […]. The post Introduction to Artificial Neural Networks appeared first on Analytics Vidhya.

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Multivariate Multi-step Time Series Forecasting using Stacked LSTM sequence to sequence Autoencoder in Tensorflow 2.0 / Keras

Analytics Vidhya

Overview This article will see how to create a stacked sequence to sequence the LSTM model for time series forecasting in Keras/ TF 2.0. . The post Multivariate Multi-step Time Series Forecasting using Stacked LSTM sequence to sequence Autoencoder in Tensorflow 2.0 / Keras appeared first on Analytics Vidhya.

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The Rise of Unstructured Data

Cloudera

The International Data Corporation (IDC) estimates that by 2025 the sum of all data in the world will be in the order of 175 Zettabytes (one Zettabyte is 10^21 bytes). Most of that data will be unstructured, and only about 10% will be stored. The challenges of data. Data facilitates, incentivizes, and challenges AI.

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8 Modeling Tools to Build Complex Algorithms

Domino Data Lab

For a model-driven enterprise, having access to the appropriate tools can mean the difference between operating at a loss with a string of late projects lingering ahead of you or exceeding productivity and profitability forecasts. What Are Modeling Tools? Importance of Modeling Tools. Types of Modeling Tools.

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