Artificial Neural Networks (ANN) has several disadvantages. Yet, we have techniques to overcome them and use it successfully.

Businesses should celebrate modern shifts in the AI/ML technology landscape.

Data warehouse vs. data lake vs. data lakehouse. Why should you choose data lake over data warehouse? And how building a data lakehouse can benefit more?

There are a few things to keep in mind when dealing with data to avoid common data dilemmas and get the most out it.

There are several questions you can ask yourself when deciding which analytics project to take on next. Four criteria have proven to be the most helpful in making this decision.

Large-scale data science teams can have several distinct roles & responsibilities to manage machine learning operations.

Data quality issues are easy to avoid than to correct. All we need is a proper data quality framework in practice.

Deep learning has several advantages over other machine learning methods. But not always.

Everything we need to start data science is affordable and accessible

Python-only stacks have neglected severe disadvantages. Here’s how to make it right.