Machine Learning is a sub-category of artificial intelligence (AI) that is entirely dedicated to creating complex applications. These applications may probabilistically use data available to learn and gradually increase the range of their accuracy without programming or human participation. Since machine learning is highly adaptable to changing working environments, it aids in completing tasks quickly and efficiently.
Making a career in machine learning will provide you with a wide variety of job options. Pursuing a career in machine learning is the most excellent way to participate in the digital transformation happening in sectors like healthcare, hotels, finance, logistics, manufacturing, and many more. With machine learning expertise, you can dominate any industry and access various opportunities.
In this article, we will focus on the advantages of pursuing a career in machine learning. Without further ado, let’s begin:
1. Exciting Opportunities
Machine Learning is a very young technology, and we are continually learning about its capabilities. Machine Learning is now only being deployed in big businesses, but experts believe it will be a breakthrough technology that will be implemented in every segment. In a number of applications and sectors, such as data security, navigational systems, surveillance, and customer assistance, this profession provides fascinating, demanding work.
Using data and statistical approaches, machine learning enables computer systems to continuously enhance their performance in specific tasks. Instead of deliberately teaching a computer to perform better, machine learning aims to provide a setting where the computer can perform better on its own using techniques such as computational statistics, data modeling, and mathematical optimization.
According to a recent study, Machine Learning can be implemented in 60% of projects across all industries. Over the years, the market has witnessed significant growth in machine learning jobs listed on job boards.
2. Choose Multiple Streams Anytime
Multiple streams highlight that as a Machine Learning specialist, you may switch between multiple specialties at any moment. To enter a new ML niche, you do not need to master any new programming languages or software development tools. The industry warmly welcomes you irrespective of the niche.
For example, if you are a BI specialist and want to work for a Data Scientist organization, you may simply do so because most of the aspects of BI are identical to Data Science. Every work site is similar to the others, with a few exceptions.
3. Flexible Work Schedules
Compared to other software development technologies or programming languages, working with machine learning technology is comparatively less stressful. The “work flexibility” offered by the machine learning industries is the only justification for this assertion.
However, machine learning is a topic that needs extensive research for each project As a result, one will spend half of your time studying something novel and interesting. This makes working with machine learning fascinating and less demanding.
4. Intricately Linked with Data Science
Machine Learning is only an imitation of Data Science. Gaining proficiency in both of these areas will allow one to analyze a large quantity of data, go on to extract value from the data, and then proceed to give insight into it. This will help machine learning engineer to advance their career to unimaginable heights.
Moreover, Machine Learning engineers and Data Scientists frequently collaborate on products in organizations. It is possible that if one currently works as an ML engineer, one will encounter the Data Scientists’ viewpoint.
5. Growing through challenges
Machine learning promises to address problems that organizations encounter on a daily basis. As a machine learning engineer, one will create solutions to various problems that have a significant impact on how businesses and people survive.
Needless to say, a career that allows you to work and solve real-world problems gives you a great level of satisfaction.
6. Competitive Salaries
According to Payscale, a machine learning working expert makes about Rs. 7,27,598 per year, which is higher than any other related domain. As your experience in the industry will increase, so will your salary.
One must pursue certifications and enroll for machine learning courses to demonstrate your hunger to learn and stay ahead of the competition & bag a higher package than normal.
7. Futuristic Approach
Google officials once said in a press conference, “Machine Learning is the future”. It is undoubtedly true that Machine Learning will eventually displace a large number of human workers, but it will also open up a ton of new job opportunities in adjacent industries.
From farmers to the stock market, every industry will change with the development of Machine Learning technologies. It is exciting to be a part of this revolutionary change since ML and AI are significantly changing society. It is believed to be the technology of the century with countless applications to solve real-life problems and enhance the quality of life.
8. Developing New Paths for Computer Programming
Computer programming is a necessary skill since machine learning is centered on computers and maximizing their performance. A career as a machine learning engineer can let you use programming languages like Python in cutting-edge applications which is one of the most popular programming languages.
9. Real Life Math’s Application
If you love math and are passionate about developing real-world applications for difficult equations and ideas, becoming a machine learning engineer might be the most sought career choice for you.
The job in machine learning will allow you to employ linear algebra, calculus, probability, and statistics – a few important Math applications used to solve real-time challenges.
10. Eliminate Monotonous Task
You can discover innovative methods to perform monotonous tasks with the help of machine learning. A machine can be trained to learn the same things you do. Hence, You can use it to do the work while you devote your energy, time, and efforts to other things that are more important.
Top 10 Machine Learning Statistics and Facts
Along with the above-mentioned benefits, these fascinating statistics and facts about machine learning will ignite your interest in the subject and show how bright the future is for this industry. These statistics and data demonstrate how machine learning will dominate the industry for a very long time and govern the future.
You can’t argue against the potential of a machine learning career given these facts. Here are the top 10 statistics and facts about machine learning that will stimulate your interest:
- By 2027, the worldwide machine learning market is anticipated to reach a value of $44.3 billion, expanding at a CAGR of 39.2%.
- The potential worldwide economic output that AI and ML might produce by 2030 is $13 trillion.
- ML has been implemented by 46% of firms in various capacities and is essential to their operations.
- Machine learning is expected to be adopted by 65% of firms, and they claim it facilitates decision-making.
- The three most in-demand talents on LinkedIn are machine learning, NLP, and deep learning.
- Voice-activated search and assistants are used by over 25 billion individuals globally, or about half of humanity.
- 87 percent of businesses that employ AI want to utilize it for email marketing and sales forecasting.
- One-third of IT executives intend to employ ML for business analytics.
- 5 percent of top companies continue to invest in ML.
Our Upcoming Training in Machine Learning
| Name | Trainer | Schedule |
|---|---|---|
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| Certified Agile Coaching | Jerry Rajamoney | View Schedule |
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Key Takeaways
As a machine learning specialist, you will have countless opportunities to work on various projects and you will eventually learn something new from them. Additionally, there is a huge increase in demand for experts with experience in machine learning. Thus, the chances of facing challenges in getting good pay are comparatively for the machine learning industry.
It is important to keep yourself updated with the latest Machine Learning Technologies to grab the best opportunities. Overall, one of the best careers of the decade is machine learning.
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