In the age of digital transformation, how do you take the essence of an historic, premium department store and allow its legacy to permeate the entire customer experience?

I am compiling a list of leading data providers. This list is continuously expanding. If your favorite data providers are not included he...

As we close out 2017 and prepare to welcome the new year, here are my top three predictions that will impact Big Data and Analytics space the most in 2018: “Gigabit” high-speed internet…

When Data Scientists look for jobs in a hot career market, your company needs to stand out. Here’s what you need to succeed.

These predictions for 2018 are from Infologix.
“Metadata management and ensuring data privacy for regulations such as GDPR joins earlier trends like AI and IoT…

Apache Hadoop’s security was designed and implemented around 2009, and has been stabilizing since then. However, due to a lack of documentation around this area, it’s hard to understand or debug when problems arise. Delegation tokens were designed and are…

Nearly ten years ago, I was presented with an amazing opportunity. I was fortunate enough to join a team of three incredibly talented engineers to build a

In this Python Pandas tutorial, you will learn the basics of Pandas by code examples written in Python.

Want create site? Find Free WordPress Themes and plugins.Big Data has immense potential to benefit the organizations irrespective of their size and nature of businesses.  Adopting Big Data helps companies to organize and streamline their businesses. At the…

The worlds of relational data and data lakes need to come together for the latter to reach their full potential. 

Big Data & Data Science Adventurer

How to develop a data science team? We recommend three team structures that match stages of machine learning adoption.

You can leverage big data to guide your lead generation efforts. By creating compelling informational products, you can earn valuable leads. Big Data can help you create compelling lead generation tools that stand the test of time for both b2b and b2c companies.

Why Learn Linear Algebra for Machine Learning?
Linear algebra is a field of mathematics that could be called the mathematics of data.

It is undeniably a pillar of the field of machine learning, and many recommend it as a prerequisite subject to study…

Learning SQL might not be as "sexy" as learning Python or R, but it's a fundamental skill for almost every data scientist and data analyst job. Here's why.

Overfitting is on of the primary problems, if not THE primary problem in machine learning. There are many aspects to it, but in a general sense, …

Like death and taxes, there are only two safe predictions about cybersecurity in 2018: There will be more spectacular data breaches and the EU General Data Protection Regulation (GDPR) will go into…

I call myself a statistician, because, well, I’m a statistics graduate student. However, the most important things I’ve learned are less formal, but have proven extremely useful when wo…

Get this Free eBook from O'Reilly Publishing on "Artificial Intelligence and Machine Learning in Industry -- Perspectives from Leading Practitioners" Talks about about the practical application of A.I. and Machine Learning in business.