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Tuning the Hyperparameters and Layers of Neural Network Deep Learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Last time I wrote about hyperparameter-tuning using Bayesian Optimization: bayes_opt. The post Tuning the Hyperparameters and Layers of Neural Network Deep Learning appeared first on Analytics Vidhya.

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Neural network and hyperparameter optimization using Talos

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon In terms of ML, what neural network means? The post Neural network and hyperparameter optimization using Talos appeared first on Analytics Vidhya. A neural network.

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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. A targeted approach will optimize the user experience and enhance an organization’s ROI. positive, negative or neutral).

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The Rise of Unstructured Data

Cloudera

In terms of representation, data can be broadly classified into two types: structured and unstructured. Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else. Here we briefly describe some of the challenges that data poses to AI.

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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. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other?

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Building a Beautiful Data Lakehouse

CIO Business Intelligence

As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio.

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