learning
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://www.careers360.com/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!!
After completing your graduation in civil engineering you should apply for job oriented courses in the same field civil engineering. I am mentioning below the name of such courses which you can apply for for your brighter future and salary hike:
After learning job oriented courses and developing job oriented skills your chances of getting a decent job with a decent salary package can be increased. You can earn a maximum salary of 10 lakh per annum.
Read more about engineering courses by clicking the mentioned below link:
https://www.google.com/url?sa=t&source=web&rct=j&url=https://www.careers360.com/courses/civil-engineering-course&ved=2ahUKEwj8zJnKu4r1AhWILJQKHb2XC9QQFnoECAQQAQ&usg=AOvVaw0j8mE1NEIIt6X5wkUDft8n
Hey there
Mentioned below are the name of the jobs which are offered in CSM Artificial Intelligence and machine learning:
For more: https://www.google.com/url?sa=t&source=web&rct=j&url=https://www.careers360.com/courses/machine-learning-course&ved=2ahUKEwj9meCe1aP0AhVczTgGHQ_FAx4QFnoECAYQAQ&usg=AOvVaw2V1CJ38wfgQmFAf55rq1el
Dear Student,
These are the newly added branch in B.tech course so its hard to tell that whether you will get good placement with these branches or not. Still if you choose these specialization through CSE then there is very good chance that you will get equal opportunity as like a CSE/IT student. After CSE/IT definitely you can go for the AI or machine learning or any other specialization in CSE.
And other thing is that, placements is totally depends upon the college for in campus placement and for off campus then you need a good skill where branch doesn't matter.
Good Luck :)
If you first discuss about the advantage then Artificial Intelligence will definitely be the path to success in the upcoming few years, usage of artificial intelligence has made hard work turn into smart work.
Machine learning is one of the applications of Artificial Intelligence. It provides the potentiality to automatically learn and improve from experience without being explicitly programmed.
Disadvantage of the above two would be such that because of evolution of AI and ML, the need of manpower has reduced. People can become jobless but both these branches still need years of development and improvement.
Hello Student
To get a job in Google company which is a software serving company candidate has to at least 65% marks in 10, 12 and in engineering B tech courses . The candidate should have vast knowledge in hardware and software in computer curriculum. Candidate should have good communication skill and programming knowledge. He or she should have a vast knowledge in computer programming like C,C++, python, Java. Should have good and vast knowledge in internet, web searching, e commerce, online advertising,numeric analysis, fraud detection. Should have no backlog in their academic years. They should have no gap period period in the course of his education. After all Google looks for innovation and dedication.
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