JEE rank is not required for b.tech in artificial intelligence.it accepts comedk rank for admission.last year cutoff comedk rank is 12568.you need to secure rank under 10000 because competition is increasing day by day.for more details of admission click on link

https://www.careers360.com/university/christ-university-bangalore/btech-computer-science-and-engineering-artificial-intelligence-and-machine-learning-course

Hey,

You have secured great marks in MHTCET examination. Mostly admissions and cutoffs are based on the percentile scores of the students. Predicting if you will get admission in vit or any government college is tough as it depends on cut offs of every year and the subject you want to choose

Here's how you can check for better admission possibilities

https://www.careers360.com/mht-cet-college-predictor

You can also check the cut offs

https://engineering.careers360.com/articles/mht-cet-cutoff

Apply accordingly,

Hope this information was useful

All the best!

Hello Aspirant

Although the terms Data Science vs Machine Learning vs Artificial Intelligence might be related and interconnected, each of them are unique in their own ways and are used for different purposes. Data Science is a broad term, and Machine Learning falls within it.

one cannot compare the three domains to decide which is better – precisely because they are  different branches of studies

So, professionals of  these three domains will be in equal demands in the future.

ALL THE BEST FOR YOUR FUTURE. HOPE THIS MIGHT HELPS YOU

Hi, as the branch that you have taken up is unique and not all colleges provide artificial intelligence and data sciences. However, the college that you have is a reputed college which is AICTE certified and the course that you will be taking is offered by Jawaharlal Nehru Technological University, Kakinada. There are various options that you can choose from according to where you live and feasibility of travelling. If you still have doubts feel free to comment. Hope this helps.

Hi,

Well AI is combination of both statistics as well as electronics. AI is a broad technology with many possible applications. It’s typically divided into special sub-branches.  Here’s a brief summary of each:

• General problem solving: Problems with no known algorithmic solution. Problems with ambiguity and uncertainty.

• Expert systems: Software that incorporates a knowledge base of rules, facts, and data derived from multiple individual experts. The knowledge base can be queried to solve problems, diagnose medical conditions, or provide advice.

• Natural language processing (NLP): NLP is used to derive understanding from natural text. Voice recognition is a part of NLP. Language translation is an application.

• Computer vision: Analyzing and understanding visual information (photos, video, etc.). Machine vision and facial recognition are examples. Used in self-driving cars and factory inspection.

• Robotics: Making robots more intelligent, self-operating, adaptive, and more useful.

• Games: AI is great at playing games. Computers already have been programmed to play and win at chess, poker, and Go.

• Machine learning: Procedures to allow a computer to learn from data or other inputs and make sense of the results for application.  Neural networks make up the framework for machine learning.

Hope this helps.

Hello there, student!

Because you did not specify where in Maharashtra you want to pursue AI, I am listing a few prominent universities that provide the courses you mentioned:

1. Panvel, Navi Mumbai: Amity University
2. Mumbai's S. P. Jain Institute of Management and Research
3. D.Y. Patil Engineering College - Pune
4. Navi Mumbai's Ramrao Adik Institute of Technology
5. Vile Parle NMIMS
6. K.J. Somaiya Engineering College - Vidya Vihar Mumbai

If you have any further doubts please do ask.

All the best!

Machine Learning Engineers and NLP Scientists are two of the most exciting and promising careers now available. Innumerable applications and sectors benefit from machine learning, making them smarter and more efficient. This course aims to teach applicants about machine learning algorithms from a mathematical perspective and how to put that knowledge to use in programming languages. Computer science nowadays is dominated by machine learning! A growing number of businesses across several industries have begun to use this cutting-edge technology. As a result, it should come as no surprise that you'd be interested in learning more about it. Don't worry if you don't want to spend a lot of money or don't want to go to university since you are a working professional. Coursera, Udemy, and NIIT, among others, provide a wide variety of online courses.