What is Generative AI | A non-technical Introduction
Explore how Generative AI is revolutionizing business processes, from content creation to design. Dive into the future of AI-driven innovation.
Why Advertisers Need Data and Ethical Concerns in Data Collection
Marketers need data. Even in the pre-internet era, marketers made informed decisions with the data they had. One…
YouTube Is Not a Place to Learn Data Science.
Why wouldn’t I recommend YouTube to anyone starting with data science?
Are No-Code Platforms a Threat to Developers?
No code platforms help people with no technical skills create software applications quickly. Should developers care?
Why a Personal Curriculum is Important for Data Science Students
Most data scientists today are self-taught. But by creating a curriculum for yourself, you can speed up the learning.
Data Leakage and its Consequences for Businesses
Data leakage occurs when confidential or sensitive information is accessed without authorization. It can happen accidentally, through exfiltration by disgruntled employees, or via electronic communications with malicious intent.
5 Steps to Improve Data Management in Your Business
Data mismanagement can seem impossible to handle. But these measures can make it more stable.
Misleading Statistics: How to Be Safe From Statistical Manipulation?
Misleading graphs are everywhere. This book will teach you how statistics can be tricky with examples.
A Step-by-Step Guide to Permanently Deleting a File from Git History
Removing a file and committing won’t delete it from git history. Adding the file to gitignore won’t remove it from past commits. Here’s how to remove it.
Disadvantages of Artificial Neural Networks And Workarounds
Artificial Neural Networks (ANN) has several disadvantages. Yet, we have techniques to overcome them and use it successfully.
