With the prevalence of computer science constantly rising, knowing at least the basics of machine learning systems is extremely valuable in business. Today we will be discussing 8 of the best machine learning books, from beginner to expert level, along with the topics covered in each, where you can get...

We encounter the results of prediction models everyday. We get offered the right incentive to buy a product. We get a text from the bank when something strange is happening with our accounts. And we rarely have to see spam in our inboxes. This is all thanks to the models built on the data that we generate...

Data insights are knowledge that a company gains from analyzing sets of information pertaining to a given topic or situation. Analysis of this information provides insights that help businesses make informed decisions and reduces the risk that comes with trial-and-error testing methods.  In the digital...

You’ve probably heard it said in machine learning that when it comes to getting great results, the data is even more important than the model you use. This is true, and it’s not just the native data that’s so important but also how we choose to transform it. This is where feature...

Python is one of the most commonly used programming languages by data scientists and machine learning engineers. Read our article on how to build machine learning algorithms in Python.

Technology companies have been emphasizing fraud detection for decades. Internet fraud first began appearing in 1994, with the introduction of e-commerce businesses. Since then, companies have taken large strides in fraud detection, but with these advancements also come improved tactics from the cyber...

Machine learning data analysis uses algorithms to continuously improve itself over time, but quality data is necessary for these models to operate efficiently.

  The increasing demand in artificial intelligence and machine learning specialists has put a spotlight on the skills and knowledge needed to excel in this profession. In particular, many aspiring machine learning engineers want to know which programming languages they should master to be competitive...

There is no doubt that more needs to be said about how time series data analysis advances DevOps. Time series classification is a tertiary aspect of time series data itself. By harnessing performance benefits from the powerful capabilities of a machine learning deployment platform, multiple types of...

A data pipeline is a software that allows data to flow efficiently from one location to another through a data analysis process. The steps in a data pipeline usually include extraction, transformation, combination, validation, visualization, and other such data analysis processes. Without a data pipeline,...