Hello Aspirant,

You have secured a decent rank. With this rank it will difficult to get top colleges.

Cutoff varies every year depending on various factors. Keep in mind that your chances to grab a seat will vary on the following basis:

Number of seats available

Number of students applied for the same branch

Performance of the students

The category you belong to etc.

Go through this link to predict colleges based on your rank :

https://www.careers360.com/ts-eamcet-college-predictor?utm_source=qna&utm_medium=ini-cet_cp

Use this link to get more information about cutoff :

https://engineering.careers360.com/articles/ts-eamcet-cutoff

Hope this information will help you.

Best wishes!

Hello student

Yes you can do it

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To have a basic mathematical background, you need to have some knowledge of the following mathematical concepts:

- Probability and statistics

- Linear algebra

- Optimization

- Multivariable calculus

- Functional analysis (not essential)

- First-order logic (not essential)

You can find some reasonable material on most of these by searching for "<topic> lecture notes" on Google. Usually, you'll find good lecture notes compiled by some professor teaching that course. The first few results should give you a good set to choose from.

Skim through these. You don't need to go through them in a lot of detail. You can come back to studying the math as and when required while learning ML.

Once you're somewhat comfortable with basic math, you can start with some online course or one of the standard books on ML. Andrew Ng's course on Coursera is a good starting point. An advanced version of the course is available on The Open Academy (Machine Learning | The Open Academy). The standard books that I have some experience with are the following:

Pattern Recognition and Machine Learning: Christopher Bishop

Machine Learning: A Probabilistic Perspective: Kevin P. Murphy

While Murphy's book is more current and is more elaborate, I find Bishop to be more accessible for beginners. You can choose one of them according to your level.

At this point, you should have a working knowledge of machine learning. Beyond this, if you're interested in a particular topic, look for specific online resources on the topic, read seminal papers in the subfield, try finding some simpler problems and implement them.

Importantly, there are a lot of algorithms/paradigms in machine learning. While you should have some understanding of these, it is equally important to have the basic intuition of machine learning - concepts of bias-variance tradeoff, overfitting, regularization, duality, etc. These concepts are often used in most or all of machine learning, in some form or the other.

Finally, it is important to implement some basic algorithms when you start doing ML, like gradient descent, AdaBoost, decision trees, etc. You should also have some experience with data preprocessing, normalization, etc. Once you have implemented a few algorithms from scratch, for other algorithms, you should use the standard implementations (like LibSVM, Weka, ScikitLearn, etc) on some toy problems, and get a good understanding of different algorithms.

Happy learning

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1. From the 7th semester students become eligible for the placements.
2. The highest package offer to the cyber security student is 7 lacs per annum.
3. The average salary package offered is 3.5 lacs per annum.
4. The placement percentage of the institution for cyber security students is 70%.
5. Rtds, private security, addon are the major recruiters of this university students.

Hello,

Considering the previous year cut off in round 6 of JoSAA counselling here is the list of institutes in which you have chances to get seat under OBC-NCL (other state) category

• Dr. B R Ambedkar National Institute of Technology: Bio Technology-15509 (Slight chances)
• National Institute of Technology Agartala: Chemical Engineering-16013
• National Institute of Technology Agartala: Engineering Physics  -17373
• National Institute of Technology Durgapur: Biotechnology- 15870 (slight chances)
• National Institute of Technology Durgapur: Chemistry  - 17043
• National Institute of Technology Nagaland: Civil Engineering-16653

Cut off is subjected to change, it may increase or decrease depending on the total number of candidates appeared, difficulty level of examination and total number of seats available etc.

To check the previous year cut off click on the link below

https://josaa.admissions.nic.in/Counseling/seatallotmentresult/currentorcr.aspx

To know the institutes in which you may get seat you may use our JEE Main college predictor tool

https://engineering.careers360.com/jee-main-college-predictor?utm_source=qna&utm_medium=jee_cp

Hello,

I would suggest you to go with TS Eamcet rather than jee mains because in that examination your percentile is better as compared to the other and also there are chances for you to get computer science branch at the good colleges.

If you want to check out the colleges you can get, you can check out the link given below -

https://www.careers360.com/ts-eamcet-college-predictor?utm_source=qna&utm_medium=ini-cet_cp

No, You will not get a seat in CSE-Ai and ML with those ranks in both the seats. As Sastra University has very limited seat the cut offs will be very low. The cut off's for the CSE groups will be less than 300. You may get other branches with the stream 2 rank. Wait till the last round of counselling for better branches.

Hello,

I am aware that a few IITs currently offer M.Tech programs in artificial intelligence. Typically, they provide M.Tech. degrees in engineering and computer science (CSE). By taking the Graduate Aptitude Test in Engineering (GATE) in Computer Science, passing the cut-offs, and then adhering to the various admission methods employed by various IITs, you can gain admission to these programs.

So, you can take AI in your MTech specialization after Btech in CSE.

Thank You

hello aspirant,

With the above mentioned rank in COMEDK and according to the previous year JEE mains Cutoff trends and analysis, you have chances of getting some good Colleges in CSE branch.

With 15000 rank in comedk you can expect admission in these below mentioned colleges :

• Shridevi Institute of Engineering and Technology, Tumkur
• PES Institute of Technology and Management, Shimoga
• CMR Institute of Technology, Bangalore
• JSS Academy of Technical Education, Bangalore
• KLE Technological University, Hubballi
• RL Jalappa Institute of Technology, Bangalore
• Mysore College of Engineering and Management, Mysore

Further to know more about your admission chances in other colleges, you can follow the COMEDK College predictor tool : https://engineering.careers360.com/comedk-college-predictor

I hope that this will help.

See Core CSE is always better. This because most student don't have the adequate information or knowledge of the subject of specialization and when they choose a specialization then if its not what they like, they get frustrated. So if you are not sure about your interest then its always better for you to go for CSE core.

Now if you are determined about going to a specialized field then AI and ML will be a better choice.

See from a future perspective, AI and ML will be the best field of study to pursue a good career in technology and innovation. With the knowledge in this subjects you can go for any companies for programming, R&D, Data Analytics etc. So if you want to go for a specialized course and if you feel that you are interested in AI or ML then just go for it. Although the remaining specialization are also good and have very good job opportunities. But as AI and ML is growing very best, it would be better for you to go for the course.

To know more about AI visit:

https://www.careers360.com/courses/artificial-intelligence-course

To know more about ML visit:

https://www.careers360.com/courses/machine-learning-course

For more information regarding BTech CSE consider the link below:

https://www.careers360.com/courses/b-tech-in-computer-science-and-engineering

I hope this helps. Wish you a great eve!

Hi bakularora,

The syllabus mainly depends on collage and varies from collage to collage but for a general idea I would  like to brief you that CSE with specialization in AI has all the things which are being taught in CSE stream with some more additional courses related to AI.

You can also use college predictor for colleges:-

JEE Main College Predictor 2022 : Predict Colleges based on your JEE Main Rank (careers360.com)