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What are Graph Neural Networks, and how do they work?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Neural Networks have acquired enormous popularity in recent years due to their usefulness and ease of use in the fields of Pattern Recognition and Data Mining.

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Data Science Journey Walkthrough – From Beginner to Expert

Smart Data Collective

What is data science? Data science is analyzing and predicting data, It is an emerging field. Some of the applications of data science are driverless cars, gaming AI, movie recommendations, and shopping recommendations. These data models predict outcomes of new data. Where to start?

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? What is machine learning?

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Non-Generalization and Generalization of Machine learning Models

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The generalization of machine learning models is the ability of a model to classify or forecast new data. The post Non-Generalization and Generalization of Machine learning Models appeared first on Analytics Vidhya.

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What is NLP? Natural language processing explained

CIO Business Intelligence

Lilly Translate uses NLP and deep learning language models trained with life sciences and Lilly content to provide real-time translation of Word, Excel, PowerPoint, and text for users and systems. Licensed by MIT, SpaCy was made with high-level data science in mind and allows deep data mining.

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R vs Python: What’s the Best Language for Natural Language Processing?

Sisense

One of the most-asked questions from aspiring data scientists is: “What is the best language for data science? People looking into data science languages are usually confused about which language they should learn first: R or Python. NLP can be used on written text or speech data. R or Python?”.

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Data Scientist’s Dilemma – The Cold Start Problem

Rocket-Powered Data Science

In deep learning, as in typical neural network models, the method by which those adjustments to the model parameters are estimated ( i.e., for each of the edge weights between the network nodes) is called backpropagation. .” Check out these articles related to this challenge: The Cold Start Problem for Recommender Systems.