In this article, we will dive into AI product characteristics, the most important features, and how they are related to various data product types. Compared to other data products such as analytical, AI products have ...
Introduction With the emergence of generative AI, many people are using this tool to generate content like text, images, or codes. In the beginning, everything seems fabulous until you face a piece of false information. ...
Spark is a parallel data processing framework, which is used for big data analytics. It is an open-source project and is written in Scala. It supports streaming data analysis, SQL, Machine learning, and Graph processing. ...
GCP is offering multiple compute options, selecting the right one which is fitting the need, is essential in terms of performance and cost saving! The available compute options in GCP are: Compute Engine, Google Kubernetes ...
Google is offering many cloud services and finding the best one which is matching with your requirements can be confusing. Let’s just focus on Google Cloud Storage for now. The offered storage solutions by Google ...
Object oriented programming (OOP) is a design pattern for creating stable applications and powerful systems. It allows handling rapid changes in complex systems easier. Classes are a blueprint of needed functionalities which is described by ...
Pandas is a popular library for exploratory analysis and data wrangling in python. It has a lot of functions and methods to use. Here I listed some functions that you may not know or don’t ...
Recently I have focused more on Deep learning area and would like to document my journey. So, in this post, I am going through its fundamental glossary which gives you a better understanding of its ...
What is pipeline? Pipeline is a way to organize repetitive steps in data science projects such as data cleaning, data transformation and data modeling. It makes your code clean, readable and facilitates implementation in the ...
