JIET Blogs
Top 5 Most Popular Programming Languages in 2023
With the abrupt growth in the Information Technology sector, there is an unending demand for versatile workers who can serve various fields of computer science.
How to become an AI Engineer? Check out to know education, roles, and skills
Artificial Intelligence is a boon to this technological era. Now, to make the most out of the newest trends in Artificial Intelligence, many such excavation fields require constant striving for excellence and skilled labor.
What Is A Machine Learning Engineer? What Do They Do?
An artificial intelligence subcategory known as Machine Learning (ML) refers to the process of enabling computers to recognize patterns, make predictions based on data,
Artificial Intelligence and Machine Learning overview
To gather a clear idea of what is Artificial Intelligence and Machine Learning and how they are related, one need to first look at each aspect individually.
Data science: A new career opportunity
When discussing a career as a computer science or information technology student, the first and foremost answer is to work in one of the top MNCs as a developer.
How to Become a Machine Learning Engineer in 2023
If you aspire to become a machine learning engineer, you must first delve into the core concepts of what machine learning is.
Should I do a B.Tech in AI and ML
You are thinking about further studies after your higher secondary education is natural. And if you are looking for practical learning opportunities with bright career options in the future,
List of Programming Languages for Artificial Intelligence
AI or Artificial intelligence is the most dominant feature in this digital world. Nowadays, various services are created with AI.
Upcoming AI trends & what you should know about them
Artificial Intelligence is undoubtedly one of the most exciting and important future technologies human beings are developing
What is transfer learning & deep learning? learn here
Transfer learning is a process used in deep learning technology, where a previously learned model is used to train a new model.