Analytics Vidhya

SEPTEMBER 9, 2021

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.

Deep Learning 382

Deep Learning Forecasting Sales Data Science 382

Analytics Vidhya

SEPTEMBER 6, 2021

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.

Deep Learning 318

Deep Learning Forecasting Data Science Publishing 318

Analytics Vidhya

OCTOBER 28, 2020

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.

Forecasting 245

Forecasting Modeling Analytics Deep Learning 245

Smart Data Collective

SEPTEMBER 23, 2020

The market for data warehouses is booming. One study forecasts that the market will be worth $23.8 While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes.

Data Lake 135

Data Lake Data Warehouse Unstructured Data Big Data 135

Domino Data Lab

AUGUST 9, 2021

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. Before selecting a tool, you should first know your end goal – machine learning or deep learning.

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111

CIO Business Intelligence

FEBRUARY 6, 2025

From automating tedious tasks to unlocking insights from unstructured data, the potential seems limitless. Think about it: LLMs like GPT-3 are incredibly complex deep learning models trained on massive datasets. While this process is complex and data-intensive, it relies on structured data and established statistical methods.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

Cloudera

NOVEMBER 15, 2021

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. Here we briefly describe some of the challenges that data poses to AI.

Unstructured Data 90

Unstructured Data Recreation/Entertainment Structured Data Reporting 90