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Implementing Artificial Neural Network on Unstructured Data

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon In the last blog, we discussed what an Artificial Neural network. The post Implementing Artificial Neural Network on Unstructured Data appeared first on Analytics Vidhya.

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The Rise of Unstructured Data

Cloudera

The word “data” is ubiquitous in narratives of the modern world. And data, the thing itself, is vital to the functioning of that world. This blog discusses quantifications, types, and implications of data. Quantifications of data. Here we mostly focus on structured vs unstructured data.

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Differentiating Between Data Lakes and Data Warehouses

Smart Data Collective

We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes. Both data warehouses and data lakes are used when storing big data. Many people are confused about these two, but the only similarity between them is the high-level principle of data storing. Data Warehouse.

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Leveraging user-generated social media content with text-mining examples

IBM Big Data Hub

Data extraction Once you’ve assigned numerical values, you will apply one or more text-mining techniques to the structured data to extract insights from social media data. And with advanced software like IBM Watson Assistant , social media data is more powerful than ever. positive, negative or neutral).

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AI vs. Machine Learning vs. Deep Learning vs. Neural Networks: What’s the difference?

IBM Big Data Hub

While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences. This blog post will clarify some of the ambiguity. Machine learning is a subset of AI.

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8 Modeling Tools to Build Complex Algorithms

Domino Data Lab

Before selecting a tool, you should first know your end goal – machine learning or deep learning. Machine learning identifies patterns in data using algorithms that are primarily based on traditional methods of statistical learning. It’s most helpful in analyzing structured data.

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Breaking down the advantages and disadvantages of artificial intelligence

IBM Big Data Hub

Algorithms: Algorithms are the sets of rules AI systems use to process data and make decisions. The category of AI algorithms includes ML algorithms, which learn and make predictions and decisions without explicit programming. Traditionally coded programs also struggle with independent iteration.