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Deep learning model to predict mRNA Degradation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Designing a deep learning model that will predict degradation rates at each base of an RNA molecule using the Eterna dataset comprising over 3000 RNA molecules.

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7 Libraries for Machine Learning

Analytics Vidhya

Introduction Machine learning has revolutionized the field of data analysis and predictive modelling. With the help of machine learning libraries, developers and data scientists can easily implement complex algorithms and models without writing extensive code from scratch.

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Pneumonia Prediction: A guide for your first CNN project

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Deep Learning is a very powerful tool that has now. The post Pneumonia Prediction: A guide for your first CNN project appeared first on Analytics Vidhya.

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Why Operationalizing Machine Learning Requires a Shrewd Business Perspective

Decision Management Solutions

The Machine Learning Times (previously Predictive Analytics Times) is the only full-scale content portal devoted exclusively to predictive analytics. In this month’s featured article, Eric Siegel, Ph.D., ” In his article, Eric warns, “Predictive models often fail to launch.

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The quest for high-quality data

O'Reilly on Data

There has been a significant increase in our ability to build complex AI models for predictions, classifications, and various analytics tasks, and there’s an abundance of (fairly easy-to-use) tools that allow data scientists and analysts to provision complex models within days.

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

IBM Big Data Hub

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve.

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

Sisense

R: Analytics powerhouse. We’ll actually do this later in this article. These support a wide array of uses, such as data analysis, manipulation, visualizations, and machine learning (ML) modeling. Nowadays text data is huge, so Deep Learning also comes into the picture. R libraries.