Datatron

With Code, Algorithms, and Training Data Sets

The fundamentals of a neural network in a manner that is digestible for anyone, especially those that are new to machine learning.

Imagine a world where credit cards have no hidden fees, no ridiculous interest rates, and also encourage you to develop healthy spending…

The goal of MLOps is to increase automation and improve the quality of ML production while meeting business and regulatory requirements.

The truth is that AI is starting a technological revolution, and while AI has yet to take over the world, there’s a more pressing concern…

Do you have a project idea but you don’t know where to start? Or maybe you have a dataset and want to build a machine learning model, but…

Comparing only two variables at a time does not give deep insights into the nature of variables and how they interact. Multivariate…

Because AI is such a new topic, it has not only spurred a lot of controversies, but also speculation, skepticism, and concerns about ethics

A confusion matrix, also known as an error matrix, is a summarized table used to assess the performance of a classification model.

To discuss the utilization of Artificial Intelligence (AI) in banking, we first look at the three main channels of the banking industry.

Model bias originates from the fact that businesses try to develop models for accuracy and profits.

The most accurate way to detect model drift is by comparing the predicted values from a given machine learning model to the actual values.

Even if a model successfully reaches production, we also find it takes longer to identify errors and to reach quality model outputs.

For good data scientists, machine-learning models aren’t that hard to build. (And there are data science companies today trying to fill…

The amount of data collected today is tremendously huge and continues to grow as we try to understand more things about our users and for…

When a new data scientist is hired into your team, it takes some time for the person to be productive. The data science onboarding process…

Data Science and Analytics (DSA) is the market where data scientists play a huge role along with data engineering and data developers.

Traditionally, being a Data Scientist is regarded as a domain exclusive to some people who understand mathematics and statistics. But this…

Technology has empowered customers and increased their options, individualizing their buying patterns for greater than ever marketing.

“ Dirty data” is a slang term for raw data, such as data that differ in format, resulting in duplicates, includes special characters or…

Harnessing the tactical insight of real-time data streams is the next big data trend on the horizon, and enterprises are gearing up.

WIth Datatron’s automated capabilities, data scientists can shift their attention from the burden of data management to high-value business

Prior to Datatron their sales reps were all over the place, they didn’t have answers to what leads to focus on they didn’t have answers…