Machine learning is a vast field, composed of many model types, subsets, and use cases. In our forthcoming 2020 State of Enterpriser Machine Learning report, we dig into the use cases that are used most often by businesses today, but as there are new advances made in ML every day, there are also advances...

Read it Reflects data only from survey Group B. Respondents were allowed to choose more than one answer. In the last 12 months, there have been numerous developments in machine learning (ML) tools, applications, and hardware. Google’s TPUs are in their third generation, the AWS Inferentia chip is a...

Sentiment analysis invites us to consider the sentence, You’re so smart! and discern what’s behind it. It sounds like quite a compliment, right? Clearly the speaker is raining praise on someone with next-level intelligence. However, consider the same sentence in the following context. Wow,...

(Wikispecies) R is an excellent language for machine learning. R primarily excels in the following three areas: Data manipulation Plotting Built-in libraries R manipulates data using a native, in-built data structure called a data frame. Let’s load some data now and see how R can help us to...

(Depiction of a clustering model, Medium) Getting started with machine learning starts with understanding the how and why behind employing particular methods. We’ve chosen five of the most commonly used machine learning models on which to base the discussion. AI taxonomy  Before diving too deep,...

Every year, millions of dollars are wasted planning, cleaning, and training machine learning (ML) models that will never get to production. This means that more than half of data science projects are not fully deployed—and some never will be, resulting in zero generated revenue. When organizations...

Why is churn prediction important?  Defined loosely, churn is the process by which customers cease doing business with a company. Preventing a loss in profits is one clear motivation for reducing churn, but other subtleties may underlie a company’s quest to quell it. Most strikingly, the cost of...

If you’ve been keeping informed of what’s happening in the AI and machine learning world, you’ve probably heard a lot of talk about this nebulous thing called the cloud. While the cloud is often used to describe a variety of offerings for decentralized computing, there’s an underlying similarity...

We hear more and more everyday that businesses are sitting on troves of valuable data. It’s compared to precious metals, unrefined oil, or cash in a vault. But those items aren’t valuable simply because they exist. Their value comes from what is created out of them. The same holds true for data....

People often confuse data science and machine learning,  but they are in fact separate entities, despite what the memes say. Let’s make clear what differences there are between data science and machine learning and give some examples of how each is used in business settings. Is data science the same...