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Future Of Machine Learning
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Future Of Machine Learning

Machine learning is an application of artificial intelligence, which allows software applications to become accurate in predicting outcomes. It works on the principle of computer algorithms. A common domain is powered by machine learning applications. Every organization and every sector is opting for machine learning including healthcare, search engine, digital marketing, IT and software, educational field and many more. It is one of the best career choices of the 21st century as it has a drastic scope in the field of automation. As per the World Economic Forum’s data science, artificial intelligence and machine learning will be the Future of Jobs. With plenty of job opportunities and high-paying salaries, the future of machine learning is going to be a boom. So let’s see why we need machine learning?

Machine Learning is an application of artificial intelligence, which has a lot of tasks more feasible, efficient and precise than ever before. It is powered by data science, machine learning makes everyone’s life easier. The tools will work efficiently without human interaction by understanding the commands and data which will be provided to them. Technology is important for every organization to make business decisions efficiently.

How to land up a job in Machine learning?

Machine learning is based on various software and programming languages such as SQL, Python, R, MATLAB, Java, and many more. One can learn these programming languages and software through the internet. Now one can sit at your place and learn any courses or programming languages at any time. Various online platforms are offering online classes with live sessions, recorded classes with certifications from universities. These platforms also design the courses for working professionals and provide the best machine learning courses. Every machine learning job is different, studying on the various data platforms and working on hands-on projects will help you to learn easily.

Top courses for aspirants which will land up in the machine learning and data science field.

  • Masters in Data science
  • Sc in Machine Learning and AI
  • PG Certification in Machine Learning and NLP
  • Tech in Data Science and Machine Learning
  • Advanced Certificate Programme in Machine Learning and Deep Learning
  • Executive PG Programme in Machine Learning and AI
  • PG Certificate Program in Machine Learning and Big Data Analytics

Jobs in Machine learning:

From the famous IT companies to the start-up companies opt for machine learning and artificial intelligence. As all these companies are standing on the data and to handle these data, they will be looking for data professionals. Not only in IT but even in other industries such as finance, healthcare, transportation, designing, digital marketing and every other field are opting for AI and ML. These data professionals, machine learning(ML) and artificial intelligence (AI) are in huge demand all over the globe because of their flexibility and less human interaction. It reduces the dependencies of humans and the accurate results in a shorter period. The future of machine learning and artificial intelligence is exceptionally exciting. Some of the top companies hiring for machine learning professionals:

  • Tata Consultancy Service
  • Amazon
  • Google
  • Adobe
  • Microsoft
  • Intel corporation
  • Nvidia
  • Accenture
  • IBM

The average salary package for a machine learning engineer for a fresher in India is around 6LPA – 8LPA, which is considered one of the highest salary packages for freshers. For experienced working professionals, it will be 30  -50% higher than your current package. It can go upto more than 50% in some cases, but it will depend on your skill set, job profile and company standard. It is also said by 2025, demand for machine learning professionals will increase to 9.8 times compared to 2013. So taking up machine learning is worth it in the upcoming days.

Top Career Options for machine learning aspirants

  • Machine Learning Engineer.
  • Data Scientist.
  • NLP Scientist.
  • Human-Centred Machine Learning Designer.
  • Big Data Engineer.
  • Business Intelligence Developer.

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