Statistical learning is a framework for understanding data based on statistics, which can be classified as supervised or unsupervised. Supervised statistical learning involves building a...

CNNs (convolutional neural networks) are one of the reasons deep learning is so popular today, they can do amazing things...

While neural networks are responsible for recent breakthroughs in problems like computer vision, machine translation and time series prediction —...

Data has become important for everyone like never before, because it makes us to take informed decisions, improve operations. We...

Data Modeling refers to the practice of documenting software and business system design. A Data model is used to document,...

When working as a data scientist, nobody tells us what’s the ML/DS problem that we need to solve or the...

Existing data architectures are at the breaking point with a large amount of data, velocity of data ingestion, and variety...

Data-driven culture is about setting the foundation for the habits and processes around the use of data. Data-driven companies establish...

What is data? How to define data from different viewpoints? What are tools in Data Technology & what to use...

What is data science? Why it is important? What is the difference between Artificial Intelligence, Data Science, and Machine Learning...

Data analysis helps to make sense of our data otherwise they will remain a pile of unwieldy information; perhaps a...