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Why Mathematics is Essential for Data Science and Machine Learning

insideBIGDATA

In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, explores why mathematics is so integral to data science and machine learning, with a special focus on the areas most crucial for these disciplines, including the foundation needed to understand generative AI.

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19 Free Data Science Courses by Harvard and IBM

Analytics Vidhya

Introduction Data science is a rapidly growing tech field that’s transforming business decision-making. In this article, we’ve listed some of the best free […] The post 19 Free Data Science Courses by Harvard and IBM appeared first on Analytics Vidhya.

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5 Free Data Science Projects With Solutions

Analytics Vidhya

Introduction Are you eager to dive into data science and sharpen your skills? This article will explore five exciting data science projects with step-by-step solutions. Look no further!

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Top 10 Data Science Myths Busted

KDnuggets

The data science field is full of job opportunities, yet there is still a lot of confusion about what data scientists actually do. This confusion is largely due to the many myths that exist about the role of a data scientist. In this article, we will bust the top 10 myths about data science.

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Data Science Bows Before Prompt Engineering and Few Shot Learning 

insideBIGDATA

In this contributed article, editorial consultant Jelani Harper takes a new look at the GPT phenomenon by exploring how prompt engineering (stores, databases) coupled with few shot learning can constitute a significant adjunct to traditional data science.

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What Impact Will Ethical AI Have on the Future of Data Science?

insideBIGDATA

In this contributed article, April Miller, senior IT and cybersecurity writer for ReHack Magazine, believes that as people continue exploring ways to use AI in modern society, there’s an increasing concern about ensuring all the current, potential and future applications operate ethically.

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Similarity and Dissimilarity Measures in Data Science

Analytics Vidhya

Introduction Data Science deals with finding patterns in a large collection of data. For that, we need to compare, sort, and cluster various data points within the unstructured data. Similarity and dissimilarity measures are crucial in data science, to compare and quantify how similar the data points are.