Key Takeaways These YouTube channels provide clear tutorials suitable for beginners and experts alike.  They cover a wide ...

Before analyzing customer data, we need to describe the customers. Descriptive features for customers usually revolve around three categories: revenues, demographics and behavior. While revenues ...

This article serves as a guide to data visualization, analytics, and machine learning platforms. Here I will discuss the features, use cases, user personas, and differentiating capabilities of ...

You can now learn valuable data wrangling skills and learn how to code with the Microsoft Visual Studio Professional ... on with Computer Vision & Deep Learning with OpenCV and Python: Build ...

This course may be taken individually or as part of the Professional Certificate Program In Machine ... data analytics: opportunities, types of data analytics problems; supervised, unsupervised, and ...

The course provides a foundation for coupling the analytics and decision-making with the contexts of the V’s of Big Data. Specifically, it will tackle the trade-offs between data properties and the ...

I am not a data scientist. And while I know my way around a Jupyter notebook and have written a good amount of Python code, I do not profess to be anything close to a machine learning expert.

from writing an article like this one to writing software code. In business, AI and machine learning harness the power of data and advanced analytics to improve efficiency by automating many tasks ...