Deep Learning Forecasting Unstructured Data 
CIO Business Intelligence
FEBRUARY 6, 2025
They promise to revolutionize how we interact with data, generating human-quality text, understanding natural language and transforming data in ways we never thought possible. From automating tedious tasks to unlocking insights from unstructured data, the potential seems limitless. And guess what?
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 mostly focus on structured vs unstructured data.
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Analytics Vidhya
JULY 15, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview of the project: The goal of this project is to forecast. The post Face Key-point Recognition Using CNN appeared first on Analytics Vidhya.
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.
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.
datapine
AUGUST 14, 2019
Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. Source: mathworks.com.
Smart Data Collective
OCTOBER 13, 2021
There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. This is something that you can learn more about in just about any technology blog. We would like to talk about data visualization and its role in the big data movement.
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