These days you can find the use of Machine learning everywhere. When you use chatbots, language translation applications, recommendations on social media feeds, and suggestions of shows on OTT, it is all because of the machine learning algorithm.

Functions of machine learning

In the form of AI, Machine learning teaches computers to think like humans, learn from past experiences and improve with time. It analyses data and identifies patterns of human behavior and includes minimum human involvement. The companies are going for automation through Machine learning algorithms and transforming processes that were earlier only possible by humans to perform.

The three main functions of Machine learning include:

• Descriptive – the system uses the past data to describe what happened
• Predictive – the system uses the past data and predict what will happen
• Prescriptive – the system will use the data and prescribe the best suggestion

Usage of machine learning

In today’s fast-paced world, machine learning has emerged as a revolutionary technology that has helped businesses increase efficiency and accuracy and decrease wastage of resources.

• It is used to automate tedious manual tasks like data entry, fraud detection, customer service, product recommendations, etc.
• Machine learning is useful in speeding up processes in organizations and reducing manual workloads.
• It can do a meticulous analysis and detect minor patterns that human eyes may miss.
• Image recognition and face recognition are also great features developed by machine learning. It helps in recognising the face of any person and sending the information related to that person.
• Voice recognition is another interesting feature of machine learning that helps in developing virtual personal assistant (VPA) applications. Amazon echos, google homes, Google Allo, etc. are some of the examples of voice recognition technology.
• Machine learning is very useful in the stock exchange industry too. A large number of trades are now reliant on this technology without human interventions.
• It keeps an eye on activities like money laundering and helps companies to check a large number of day-to-day transactions and ensure secure transactions.
• This technology is proved to be crucial in the healthcare sector. ML technology is immensely helping in tracking and diagnosing any chronic diseases. Online remedies, doctor consultation, and prescription facilities have become possible with the integration of ML techniques.
• Machine learning has taken multi-tasking of machines to a next level by applying intelligence to complicated tasks and making them simple.
• These algorithm-based intelligent machines are being used in almost every field to reduce human errors and enhance accuracy.
• These are some of the most popular uses of machine learning algorithms but their uses are not restricted to only these activities. It is widely used for multiple purposes by different industries.

Career Scope

The field of Machine learning offers lucrative job opportunities and skilled professionals are in high demand in the local and global market. If the terms algorithm, automation, and data evaluation trigger your mind and excite you to explore these areas then machine learning is the right career choice for you.

The job market for machine learning is in a nascent stage and evolving but we can find some prominent roles that several organisations are offering. Listed below are some of the specialised roles for which machine learning experts are required:

• Data Scientist
• Machine Learning Engineer
• Machine Learning Researcher
• Data Analyst
• Data Architect

To build a career in machine learning, you can study computer science, software engineering, statistics, deep learning, and humanities. Following are the must-have skills for a successful career in this field:

Required Skillset

High-skilled professionals can earn good salary packages. As per payscale data, the average salary of an ML engineer in India is approximately Rs. 6.5 lacs. The world is turning towards these past-paced technologies. Be it a big corporate or start-up, every company is offering almost all sorts of job roles with attractive salary packages.

The scope of machine learning is wide and its relevance is massive. It is aggressively being adopted by various sectors like retail, transportation, healthcare, and financial services in India. Hence, the future is promising in machine learning and will bring more interesting as well as challenging opportunities in the time to come.

Also Read: Top Universities in India, Top MBA Colleges in India & Top Engineering Colleges in India

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India, however, is a country that produces 88350 engineering graduates every year who have specialization in IT; engineers from other fields also seek jobs in the IT sector. With so much competition in the market and a plethora of job opportunities available at one Google search it is important to narrow down our options.

So here’s a list of careers that seem to be taking the IT market by a storm:

1. Machine Learning Engineer

Artificial Intelligence is the hot topic today, from kids in primary school to fresh college graduates; everyone is invested in learning about AI. Of course, Artificial Intelligence is the future of technology and Machine Learning is a subpart of this huge phenomenon. Why Machine Learning Engineers top this list is because today the Internet runs on ML, with the help of Big Data it creates algorithms that make user experiences personalized. ML learns from past data and predicts browsing habits.

2. Data Scientist

Data Science is another chunk of Artificial Intelligence. It is a multidisciplinary field that focuses on organizing cluttered data, then analyzing it. Thus effectively trying to draw patterns and insights out of the data that is available. It is predicted that Data Science is a field that is going to blow up in the coming years.

3. Software Developer

Becoming a software developer is what we would typically imagine an IT graduate as. Developers are meant to understand user needs and design softwares and applications accordingly. These engineers are then split into Front End and Back End Developers: depending upon the kind of work they prefer to do. There are also Full Stack Developers who can manage both the data, modeling at the Back End as well as the UI/UX at the Front End.

4. Blockchain Engineer

Blockchain Technology is another field that is expected to rise tremendously in the future, as the world continues to become digital. It is important that everything on the Internet is safe from hackers, cheats and imposters. As a result, by 2023 around 15.3 billion will be spent on blockchain solutions, thus drastically increasing the number of blockchain engineers required in the country.

5. Robotics Engineer

Robotics is considered a high-end profession in India. Apart from the use of robotics in the gaming industry, it is also imperative in labs, medical fields, agriculture and aerospace industries. In the future, robots are expected to facilitate and reduce human labour, thus making it another extremely important field of technology.

Of course, these incredible career opportunities are only available after the right education. And in order to receive the right education it is imperative to choose the correct University. However, with the number of colleges and universities that exist today it seems almost impossible to make a decision. So here’s a few ways to narrow down your choices and make your decision simpler.

Academics: Of course, the first step to choosing your university is to figure out the career that you want to pursue. This certainly filters out a lot of the options available to you.

Location: The second step is to understand where you want to be, whether you would prefer being close to home or in a different city altogether. You also need to make choices according to your preference: do you prefer a city to the countryside? Do you like the cold? And so on. Although these questions seem silly, they are imperative for you to like your university.

Ranking: The rank of your university ends up telling you a lot about it: from the faculty to the extra curricular activities available, these are all important for your overall development as an individual.

Accommodation: Since you will be studying here for a minimum of 3-4 years, you need to find a comfortable place to reside, whether it is in dormitories or apartments. This would also include figuring out your mode of transportation, accessibility to shopping centers, medical facilities etc.

Finance: The tuition fees and your cost of living are important parts of making your decision. Here, you can also explore scholarship opportunities.

Career Prospects: After your education you tend to look for career opportunities. College placements certainly facilitate this process. Therefore, checking out the placement statistics of your university can be another box on your checklist.

Applications: Once you’ve looked at all of the things mentioned above and shortlisted a few universities. You can then start looking at the application process for the same.

These seven steps should reduce your prospective university options and help you in figuring out what would fit you best.

Also Read: Top Universities in India for Engineering, Top MBA Colleges Ranking in India & Top Engineering Colleges Ranking in India

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