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Posts by Daisy

link to Do You Need Algorithms for Machine Learning?

Do You Need Algorithms for Machine Learning?

Machine learning is a hot topic, but becoming a machine learning engineer or data scientist may not be very easy. Some people will tell you that you must learn a certain number of classic algorithms,...

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link to Do Data Analysts Use Python?

Do Data Analysts Use Python?

Python is a great multi-purpose language with plenty of advantages that could appeal to a data analyst. It is also one of the easiest languages to learn, which is why a lot of beginner data analysts...

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link to Data Science vs Web Development: Which is a Better Career Path?

Data Science vs Web Development: Which is a Better Career Path?

The digital era has been booming with massive advances in technology and innovations. With considerable growth in technology development and its adoption, two professional fields, Data Science and...

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link to Data Science vs Actuary: Which is a Better Career Path?

Data Science vs Actuary: Which is a Better Career Path?

The masses have begun flocking to more modern professional fields with the digital age continuing down its steady path to absolute dominance. While some professions have become progressively...

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link to Is Data Science a Good Major?

Is Data Science a Good Major?

The professional field of data science has received a colossal influx of attention in recent years – both from companies interested in these skill sets, and from candidates that are interested in...

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link to Can You Do Machine Learning With C++?

Can You Do Machine Learning With C++?

Machine learning has established itself as one of the frontiers of computer science and technology in the modern era. The ability to program machines to learn and improve their performance over time...

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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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