Hi.

The eligibility criteria for pursuing M.Tech in India is as follows:

• Applicants must hold a BE/ BTech degree in Computer Science or Artificial Intelligence from a recognized university with an aggregate of at least 50% marks.
• The students must have cleared all the backlogs.
• Students must be medically fit.

This is how you can proceed in learning web development:

• Start with Html and Css
• If you want to be a good web developer (talking about frontend), you should have a good grasp of the above two. Also you need to have good knowledge of html and css even if

Hello dear,

You have got 36000 rank in  kcet. With this rank it is difficult to get artificial intelligence and machine learning in reva university Bangalore as the previous year last rank that got admitted in the college was 24941. You can several other colleges for artificial intelligence and machine

Hello,

I think you are confused about the stream. Firstly bca is offered to students which have computer as one of their subjects along with physics, chemistry and maths. But this may vary from one college to other. Some colleges do not offer this course to art students.

Secondly if

Hi aspirant,

No internet of things is a kind of specialization more like the others artificial intelligence, machine learning and data science. Internet of things describes physical objects, that are embedded with sensors, processing ability, software, and other technologies, and that connect and exchange data with other devices and systems

Dear aspirant !

Hope you are doing great ! This college is really awesome ,some of my friends was there ,they told me that the infrastructure ,faculty , placement are all good ,there is no comparison with this college of other colleges if you get this then don't leave this

hi

You might or might not get at dsce , because for the general cutoff for general merit is almost 3k .

Do mention which category you belong to ,if you belong to general merit you have very hard chances of getting dsce .

Hey

Unsupervised learning:

• Unsupervised learning algorithms are trained using unlabeled data.
• Unsupervised learning model does not take any feedback.
• Unsupervised learning model finds the hidden patterns in data.
• In unsupervised learning, only input data is provided to the model.
• Unsupervised Learning can be classified in Clustering and Associations problems.

Thank