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.

It seems like every quarter a new McKinsey report predicts that this will be the year trillions of dollars of IoT potential is unlocked. But while the amount of data IoT produces has skyrocketed, we’re still waiting for that return on investment. The good…

Photo by Glenn Scott Today I got an email with a question I’ve heard many times – “How many images do I need to train my classifier?”. In the early days I would reply with t…

Guest post by Finnegan Pierson. Big data entails large volumes of data that are analyzed computationally to show trends and pattern. It comprises 3Vs; enormous volumes of data, the velocity of processing data, and the broad variety of data categories. Big…

We recently published a practical guide for data science management intended to help current and aspiring managers learn from the challenges and successes

This article provides an introductory guide to factorization machines (FM) and Field Aware Factorization (FFM) used for making predictions on huge datasets.

In this entry, I am going to talk about deep learning models exposure and serving via Tensorflow, while showcasing my setup for a flexible…

As the use of analytics proliferate, companies will need to be able to identify models that are breaking bad.