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Posts by Daisy

link to Is Machine Learning the Same As Deep Learning?

Is Machine Learning the Same As Deep Learning?

Data science is utilized in the field of artificial intelligence (AI) to analyze data, to make smarter business decisions, and to extract meaningful insights. While machine learning and deep learning...

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link to Mac vs. PC: What’s Better for Data Scientists?

Mac vs. PC: What’s Better for Data Scientists?

In the world of data science, there are many tools that you use, like software, apps, servers, and, most importantly, a powerful computer. When it comes to computers, there are two clear choices: Mac...

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link to Can a Data Analyst Work Part Time?

Can a Data Analyst Work Part Time?

A data analyst works in one of the fastest-growing fields, data science. The need for analysts is growing, as more value is placed on the skill set, which is to help understand current metrics and...

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link to Do You Need a Good GPU for Machine Learning?

Do You Need a Good GPU for Machine Learning?

Machine learning has intense computational requirements, and your system needs to be able to handle it. Since GPU technology is advancing at a remarkable rate, GPUs have become very common for...

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link to Can a Data Analyst Become a Project Manager?

Can a Data Analyst Become a Project Manager?

Both data analysts and project managers are responsible for studying the efficiency within an aspect of a company. Both of these positions also offer a decent salary, even for entry-level employees....

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link to How Good at Math Are Data Analysts?

How Good at Math Are Data Analysts?

Data analysts are very much in demand in the job market right now. The traditional role of a data analyst involves finding helpful information from raw data sets. And one thing that a lot of...

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About the Author

Daisy is the founder of DataScienceNerd.com. Passionate for the field of Data Science, she shares her learnings and experiences in this domain, with the hope to help other Data Science enthusiasts in their path down this incredible discipline.

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