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Text Classification in NLP using Cross Validation and BERT

Text Classification in NLP using Cross Validation and BERT

In natural language processing, text categorization tasks are common (NLP). Depending on the data they are provided, different classifiers may perform better or worse (eg.

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Revolutionizing the Role of Software Development: Introducing the Prompt Engineer

Revolutionizing the Role of Software Development: Introducing the Prompt Engineer

Revolutionizing the Role of Software Development: Introducing the Prompt Engineer With the rapid advancements in AI and machine learning, the software development industry is undergoing a significant change.

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A Deep Dive into Reinforcement Learning: Q-Learning and Deep Q-Learning on a 10x10 FrozenLake Environment

A Deep Dive into Reinforcement Learning: Q-Learning and Deep Q-Learning on a 10x10 FrozenLake Environment

Reinforcement Learning is a machine learning method in which an algorithm makes decisions and takes actions within a given environment and learns what appropriate decisions to make through trial-and-error actions.

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What it takes to be successful as a coder?

What it takes to be successful as a coder?

To be successful as a coder, it takes more than just technical skills and knowledge. It requires a combination of factors, including dedication, passion, and the ability to overcome self-doubt and imposter syndrome.

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RNN for sequence-to-sequence classification

RNN for sequence-to-sequence classification

In order to understand a sequence of information we need to understand each input of data based on the understanding of previous data.

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Learning based models for Classification

Learning based models for Classification

Thousands of learning algorithms have been developed in the field of machine learning. Scientists typically select from among these algorithms to solve specific problems.

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