Hello Student.

Congratulations on your admission.The topics you have been discussing are quiet trendy and have a great scope in the near future . Depending on the college for the entire course is not advisible for any type of syllabus since the technology is new many important aspects can be left untouched since the deepness of the same cannot be understood within a year or so. So you must keep a track of college syllabus and ensure learning the same through multiple sources . Classes as such are not advisible for this courses since most of the material is predominantly available online. Many learning sources like Udemy , Coursera,Great learning have teachers from all over the world offering n number of courses with deep concepts and great explanation in addition there are certificates awarded to learn kind of motivation for the learner. The content being available online can be accessed anytime anywhere at you ease .

Hello.

There are many colleges in India especially in South India that are renowned as well as provide MSc in artificial engineering and machine learning to its students. So you can apply at nay of the college and pursue the course you want. For more information follow the link given below:-

https://dqxeclau.top/courses/artificial-intelligence-course

Hello,

To begin with, it is impossible to compare the two realms in order to determine which is superior — exactly because they are two distinct fields of study. It's the equivalent of contrasting science with the arts. However, the clear popularity of data science nowadays cannot be denied. Almost every industry has turned to data to help them make better business decisions. Whether it's for performance analysis or device data-powered plans or apps, data has become a vital element of enterprises. Machine Learning, on the other hand, is still a developing field that has yet to be accepted by a few businesses, implying that ML technologies will become more in demand in the near future. As a result, specialists in both of these fields will be in high demand in the future.

Because Machine Learning and Data Science are so intertwined, a fundamental understanding of both is essential to specialise in one of the two fields. To begin with Machine Learning, however, understanding of data analysis is necessary in addition to data science. Understanding and cleaning data before using it to create ML algorithms necessitates learning computer languages such as R, Python, and Java. Tutorials on these programming languages, as well as basic data analysis and data science ideas, are included in most Machine Learning courses.

Data Scientists or Machine Learning Engineers make greater money.

Data Scientists and Machine Learning Engineers are both in high demand in today's industry. When it comes to entry-level positions, data scientists appear to make more money than Machine Learning engineers. For entry-level positions in data science, the average income is more than 6 LPA, whereas for Machine Learning engineers, it is approximately 5 LPA. Senior specialists, on the other hand, make almost the same amount in both disciplines, averaging approximately 20 LPA.

Hope this helps.

Dear applicant, after B.Tech Biotechnology if you decide to choose M.Tech machine learning, that would not be a wise choice. Rather than changing your Biotechnology stream into Machine Learning you can do online distance course or online courses provided by HP, Udemy,Coursera. You can embrace your machine learning knowledge by consistent practice. But you can change your branch if you have a. Strong will,

Hope it helps

Good luck!!