Questions Technology

What is the scope of machine learning in the future?

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Andrea Vurlow

Living life on my own terms

Machine Learning has become one of the hottest topics in the discussions recently. It is specifically the science of artificial intelligence that offers systems the capability to learn and enhance robotically from familiarity without the requirement of exclusive programming. Machine learning focuses on the growth of computer programs that can easily access the necessary information and utilize it for themselves. The programming languages that are used in machine learning are java, python, C/C++.

Now if you are thinking of the scope of machine learning, then you must know that it has a very bright future. It also depends on whether you want to know its scope from a career prospect view or you want to know its impact in the field of IT. Machine learning is one of the best fields if you want to build a strong career. Recently, companies use machine learning at a higher rate.  Google, Facebook, and Quora are hiring a large number of people having knowledge and expertise in Machine learning. Moreover, there is also no upper limit of the salary of people with expertise in machine learning. 

Some of the benefits of machine learning in the IT field are:

  • Machine learning makes sure you have sophisticated pattern recognition.
  • When implemented it leads to improved consumer experience.
  • Minimum error and business blunders.
  • It helps in making intelligent decisions.
  • It is easier to know about consumer behavior in the past and accordingly, you can modify the product.

Some of the machine learning application that is used in everyday lives are:

  • Easy prediction of traffics at highways or some of the major intersection.
  • Reliable web search
  • Medical diagnosis from past symptoms.
  • Spam filtration in emails
  • Identification through images.

So, we can say that the destiny of machine learning is very bright. The career options like the machine learning engineer and research scientist are gaining very rapid momentum, you are required to go with the flow and always remain updated with required education and required certifications.

Read more: What are the best universities to study machine learning?


Ritesh Patil

Technology is best when it brings people together

With continuous automation and tech-enabled advancements happening across the globe, the scope of machine learning (ML) seems to be really promising. It shall bring in novel opportunities for the transportation industry. Automobile solution providers shall be able to offer more efficient transportation services, minor-to-no congestion, and greener environments in the coming times. 

Here’s a lowdown to some of the future benefits of ML. 

  • Service providers shall manage fleets more effectively

  • The industry shall have better vehicle tracking facilities 

  • Data collection and 3D road models shall generate real-time traffic information to avoid accidents 

  • Designing a business model for your startup shall become easier

  • Detecting structural defects at ease

  • Highly scalable transportation apps and micro-mobility services platforms shall be introduced

  • Finding a charging station for your e-vehicle shall be hassle-free

  • ML shall establish neural networks to enhance productivity

ML is helping the micro-mobility arena to evolve and provide growth opportunities for all the stakeholders. Self-driving automobiles and autonomous vehicle systems have already started taking over the normal modes of transportation. Data collection, analysis, learning, and implementation for future operations are now easy for the micro-mobility companies that are leveraging machine learning. 

Artificial intelligence and machine learning shall surely reduce the number of owned vehicles in the coming years. The right applications of ML are more likely to positively disrupt the transportation industry and micro-mobility processes alongside offering potential business opportunities in the near future.  

(source: Machine Learning in Micro-mobility: Changing Face of Transportation Industry)

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