Author: Ligency Team

The Practical Guide to Tree Traversal Algorithms

Tree traversal algorithms work simply by visitation. Just as you would visit your friends and families, check up on them, and update them about the happenings >>

Quantile Regression Explained in 5 Minutes

Linear regression has its loopholes in analyzing data across a specific distribution. One of them is having a fixed mean across the whole data. However, quantile >>

The Ultimate Guide To Networking for Data Professionals

Did you know that 85% of career positions are filled through some form of networking? It’s no secret that networking is vital for career success, but >>

The Best Tips for Long-Term Career Growth

The Best Tips for Long-Term Career Growth

The life of a data scientist or business intelligence professional is often a lonely one. With the average company employing only one or two data science >>

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Linear Regression vs Multiple Regression: Know the Difference

In data science and machine learning, regression is an important modeling algorithm that most individuals learn early on. In fact, people often consider linear >>

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Artbreeder: How Artificial Intelligence Changes Our Perception of Art

Artificial Intelligence (AI) is an innovation that has come and will stick around for a very long time. In almost every sector, a form of AI >>

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The Whys and the Hows of Nonparametric Statistics

As a data scientist, understanding nonparametric statistics is an imperative. With the growing demand for data scientists, analysts, and data-focused engineers, >>

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[Infographics] Data Science Skills Roadmap: Skills and Certifications to Have in 2021

The world runs on data, from making bank deposits, paying taxes, and even communicating with loved ones. All we do is being captured and mapped out >>