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Top 10 Typical Applications of NLP (Natural Language Preprocessing) – Real World Apps

Top 10 Typical Applications of NLP (Natural Language Preprocessing)

In this article, we will discuss the various Typical Applications of NLP. The applications cover almost every aspect of daily life. Why need to Process Text Data? Typical Application of …

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Data Science vs Artificial Intelligence vs Machine Intelligence, Which is Better? Pros and Cons Included

Data Science vs Artificial Intelligence vs Machine Intelligence, Which is Better?

In this article, we will take about Data Science vs Artificial Intelligence vs Machine Intelligence and how they differ from each other. Data Science Data science is a branch of …

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Python List Filtering (Methods Explained with Examples)

Python List Filtering (Methods Explained with Examples)

Filtering items means extracting the desired items from a number of items. The list consists of a number of items. In Python, you must go through a list item by …

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Batch Size and Gradient Descent in Deep Learning – Advantages and Disadvantages

Batch Size and Gradient Descent in Deep Learning

Introduction to Batch Size There are different data points in the dataset. When different data points group together, it makes a batch. These batches are further used in the training …

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Deep Residual Learning for Image Recognition Explained with Working

Deep Residual Learning for Image Recognition Explained

Deep Residual Network Definition The authors suggested a deep residual network (ResNet) for image identification in 2016. This kind of deep neural network (CNN) combines the outcome of the current …

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Batch Normalization, Its Working, Forumla and Applications

Batch Normalization, Its Working, Forumla and Applications

Batch Normalization is the process of normalization that involves shifting the value of the sample variance in the data to a common scale without distorting contrasts in the value range. …

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