Why Pursue a Career in Machine Learning?

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Why Pursue a Career in Machine Learning
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Machine Language is the tech of the future

• This advanced technology is here to stay for many
  more years to come. The ML applications that we
  have designed and developed so far have barely
  scratched the surface of this incredible
  technology. The wide scope and range of CETPA
  Machine learning course are definitely going to
  see an increase in the future.

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You get to work on real challenges

• If you are analytical and have a curious bent of
  mind, then you will surely enjoy working in the
  field of Machine Learning. As an Machine Learning
  engineer, you need to work on real-life
  challenges and find solutions. Identifying the
  problem and finding technological solutions to
  the problems will feel very satisfying. Even
  better is that, your tech solutions may help
  business improve their profit margins, deliver
  better quality services/products, and help
  improve process productivity.

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Youll find plenty of career opportunities

• The career prospects for certified machine
  learning professionals are excellent. After
  completing a machine learning course, a fresher
  can join an organisation at the entry level.
  Experienced professionals, on the other hand, can
  find job opportunities in mid and senior level
  job profiles based on their experience,
  background and expertise. As more and more
  industries start using ML-based solutions, career
  opportunities will keep increasing.

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Higher salary

• According to Payscale, a machine learning working
  professional gets around Rs. 6, 93,846 per annum
  which is more than any other similar domain. With
  experience and knowledge, your CTC will increase
  every year in just 5-6 years you will be earning
  more than 11 lacs per annum!

https//www.cetpainfotech.com/technology/machine-l
earning
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You can explore other domains in Data Science

• If you want to re-chart your career path, you can
  start exploring the other domains in data
  science. You can choose to work as a data
  scientist or learn deep learning to become a DL
  engineer or neural network professional. There
  are plenty of options that you can explore to
  expand your career path.

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Thank You