Remove Data Analysis Remove Deep Learning Remove Natural Language Processing
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10 GitHub Awesome Lists for Data Science

Flipboard

This is a must-have bookmark for any data scientist working with Python, encompassing everything from data analysis and machine learning to web development and automation. It also includes free machine learning books, courses, blogs, newsletters, and links to local meetups and communities.

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Deep learning algorithms

Dataconomy

Deep learning algorithms are transforming the landscape of technology by providing powerful tools that can analyze vast datasets and make predictions with remarkable accuracy. These algorithms are inspired by the neural architectures of the human brain, allowing machines to recognize patterns and learn from experience.

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Extracting Medical Information From Clinical Text With NLP

Analytics Vidhya

One of the most promising areas within AI in healthcare is Natural Language Processing (NLP), which has the potential to revolutionize patient care by facilitating more efficient and accurate data analysis and communication.

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Deep Learning vs. Neural Networks: A Detailed Comparison

Pickl AI

Summary: Deep Learning vs Neural Network is a common comparison in the field of artificial intelligence, as the two terms are often used interchangeably. Introduction Deep Learning and Neural Networks are like a sports team and its star player. Deep Learning Complexity : Involves multiple layers for advanced AI tasks.

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Transforming finance: The power of Large Language Models in the financial industry

Data Science Dojo

Over the past few years, a shift has shifted from Natural Language Processing (NLP) to the emergence of Large Language Models (LLMs). This evolution is fueled by the exponential expansion of available data and the successful implementation of the Transformer architecture.

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Text mining

Dataconomy

Data preparation Data preparation involves cleaning and structuring the text data. This groundwork is crucial because the quality of data directly influences the accuracy of the insights gathered. Key techniques in text mining Text mining has significantly advanced with the introduction of deep learning.

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Understanding GPUs for Deep Learning

Dataversity

Click here to learn more about Gilad David Maayan. Deep learning is the basis for many complex computing tasks, including natural language processing (NLP), computer vision, one-to-one personalized marketing, and big data analysis.