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!!

Hey there

Mentioned below are the name of the jobs which are offered in CSM Artificial Intelligence and machine learning:

• Technical project manager data science
• Technical program manager
• Assistant manager of operations
• Technical project manager
• Senior process executive domestic payroll
• SMB corporate  executive

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

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.

Good luck!!

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.

Hello Candidate

A bioinformatics software developer works on the development of the existing software and the tools related to it. The developer is expected to have analytical skills as well as good communication skills. They must be creative in their work to be able to create new tools and new algorithms. Initially, the software developer needs to have good knowledge of essential hard skills such as SQL and Python. Companies that are responsible for building computational tools mainly hire a bioinformatics software developer as well.

To become a software developer of bioinformatics, one needs to have good knowledge in the field of biology and computer science. Individuals with a bachelor’s degree or a master’s degree in bioinformatics, biostatistics, biology, and computer science can opt for such an option.

Hope this helped you,

Dear Student ,

As an e-resource , you can search for NCERT books which is available to read as well as from some official websites .

Some channels like Byju's  , Unacademy , Vedantu , Khan Academy are available in youtube which will guide you for Organic chemistry NEET preparation . You can also visit NPTEL and watch few lectures relevant to your syllabus for better understanding of the concepts .

For your reference , you may follow some tips regarding your NEET preparation from this link:

https://medicine.careers360.com/articles/how-study-chemistry-for-neet

Hope this helps !

Hello student,

I strongly recommend you not to take specialization courses before hand in BTECH. The reason behind it is that you restrict your other future choices and opportunities in the other fields and domains. After Computer Science Engineering, you can take specialization in AI, Data Science, Machine learning, but you cannot do vice versa. SO, make your choices wisely.

I hope this helps, All the Best!

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