The discipline of using the knowledge gained from one trained ML model to another. TL seeks to
leverage unlabelled data in the target task or domain to the most effect.
Do you want to gradually improve your Software Product Development? Kanban is a visual system for managing work as it moves through a process.
More than 87% of data science projects fail to deliver an ROI for the business. What's behind the high failure rate and can we change this?
It is the underpinning of today's data?-driven businesses. Get a short overview of the ETL process and its applications in businesses.
Most persistent misconceptions about cloud computing, clarified to help you understand the technology and use it to your advantage.
New to the cloud? This non technical article intends to cover the foundational knowledge of Cloud, needed by an IT professional, Manager & Director.
Keep pace with business innovation needs through a well-planned cloud operating platofrm from Microsoft, all explained in simple to understand terminology.
Are you confused between Big Data and Data Analytics? Do do use these terms interchangeably? Learn the difference between Big Data & Data Analytics.
Transfer Learning - ML Strategy
A Quickstart Guide to AutoML
Kanban for Software Product Development
Basics of Google Cloud Platform (GCP)
Quantum Machine Learning Concepts
Understanding the `C` of Quantum Computing?
Is Big Data Analytics a Good Career Choice?
How Does DEEP LEARNING actually Works ?
Fundamentals of AWS, A Hands-on Guide
Why Data Science Projects Fail To Deliver
Understanding ETL And Effectively Using It