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.
Hands-On Automated Machine Learning - A beginner's guide to building automated machine learning systems using AutoML and Python.
Do you want to gradually improve your Software Product Development? Kanban is a visual system for managing work as it moves through a process.
Google Cloud Platform is one of the fastest-growing cloud platforms in the industry. It lets you build, deploy, and scale applications, websites, and services on the same future-proof infrastructure as Google in a secure & cost-effective manner.
Big Data Analytics will become a core business practice for most organizations and they will use it to understand their business and their customers. Explore more on starting a most sought-after job.
As a subset of ML, the inspiration for deep learning is the way that the human brain filters information using hierarchical neural networks to analyze images, text, or sound.
The AWS is nothing but a cloud service provider by Amazon. A Hands-On Guide to the Fundamentals of AWS Cloud.
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?
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