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What is Machine Learning?

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Recently, we wrote about how to launch a career in machine learning, and we also explored how to become a machine learning specialist, and here we’re going to explain what machine learning actually is.

During this discussion, we’ll review what machine learning is, how and where it’s being applied in modern business operations, what machine learning experts actually do, and why you should consider getting into the industry. 

After you’ve learned more about machine learning, fill out our information request form to receive additional details about CSU Global’s 100% online Master’s Degree in AI and Machine Learning, or if you’re ready to get started, submit your application today.

What Actually Is Machine Learning?

You can think of machine learning as a subset of artificial intelligence technologies; it involves optimizing a machine to learn more quickly and effectively.

More specifically, machine learning is a branch of artificial intelligence (AI) and computer science that focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

In many ways, machine learning can be thought of as an optimization process for artificial intelligence, with machine learning engineers responsible for providing training data to AI solutions.

The goal of the machine learning process is to make AI solutions faster and smarter so they can deliver even better results for whatever task they’ve been set to achieve. 

Due to the potential of artificial intelligence to create efficiencies in everyday business tasks, companies are in constant search of machine learning experts.

What Makes Machine Learning So Useful?

Machine learning technology is based on algorithms that have existed for years, but processes using these algorithms have become more important recently due to several important improvements in technology, including:

  • Wider access to large volumes and varieties of data, especially the development and ubiquity of “big data.”
  • Much more affordable data storage solutions, which helped make big data sets available to more organizations and for a much wider variety of applications.
  • Increasing processing power that allows computers and specifically AI applications to complete calculations much faster than ever before.

These developments paved the way for machine learning to deliver much better results than it was previously able to, allowing machine learning applications to be used in almost any industry and business activity.

Anywhere that AI systems are being used, machine learning experts will be needed to help improve the results of that AI technology, and as we covered in our recent post on what makes AI so important, there’s a whole host of applications for these transformational technologies. 

Is Machine Learning a Good Career?

Yes, machine learning is an excellent career choice, especially since the field continues to grow rapidly, with the demand for knowledgeable and capable healthcare administrators expected to grow significantly over the next decade.

In fact, Forbes estimates that the global machine learning market will grow by 44% between 2017 and 2024, reaching $20.83 billion in 2024.

Machine learning is a challenging, but interesting and exciting role, requiring skills, knowledge, and expertise in software and computer coding, making this an excellent option for anyone interested in helping organizations increase their efficiencies and profitability through utilizing cutting-edge technology.

What Do Machine Learning Engineers Actually Do?

Machine learning engineers are responsible for designing, building, testing, and updating AI and machine learning systems and technologies.

Accordingly, some of the more common responsibilities that machine learning engineers must be capable of handling include:

  • Understanding, analyzing, and applying machine learning principles for reasoning processes and uncertainty.
  • Utilizing machine learning to perform image analysis and reconstruction tasks.
  • Solving a variety of complicated problems and scenarios by implementing machine learning and AI-driven solutions.
  • Designing and building machine learning and AI-based solutions to perform complex tasks that model and improve upon typical human behavior.
  • Devising and building complex problem-solving solutions that use machine learning principles and AI best practices.
  • Evaluating and improving applications that rely on machine learning and AI processes.

This is a complex discipline that requires a great deal of technical expertise, but because the job prospects for machine learning experts are excellent, it’s a great time to consider launching a career in the industry.

Should I Pursue a Career in Machine Learning?

There are several good reasons to consider getting into machine learning.

First, machine learning technology has many practical applications, and the demand for professionals with machine learning skills will continue to grow.

Second, jobs in the AI and machine learning industry tend to pay excellent salaries, with data from the U.S. Census Bureau showing that the average salary for AI and machine learning professionals is $102,521.

Finally, machine learning applications are already having a huge impact on virtually every industry, and they’re also likely to continue growing in importance as new applications and technological solutions are created.

Some of the top positions for machine learning experts that offer an excellent average annual income include:

If you’re interested in technology and you want to get into a field that has the potential to earn an excellent income, then machine learning may be the perfect option for you.

What Can I Do With a Master’s Degree in Machine Learning?

Earning your master’s in machine learning will prepare you for a variety of related leadership and management roles.

The courses you complete as part of our master’s program will provide you with the skills and abilities required to successfully complete the typical daily duties of machine learning experts, including:

  • Utilizing machine learning to perform a variety of different tasks, including complex processes like image analysis and reconstruction.
  • Analyzing and applying machine learning principles for reasoning processes and uncertainty.
  • Solving a variety of complicated problems by implementing advanced machine learning and AI-driven solutions.
  • Designing and then building machine learning and AI-based systems and solutions to perform complex tasks that model, but outperform human behavior.
  • Evaluating and improving technologies, systems, and solutions that rely on machine learning and AI processes.

Getting your Master’s in Machine Learning will prepare you for employment with, or a promotion into roles, like:

  • Machine learning engineer
  • Machine learning research scientist
  • Data scientist
  • Data engineer
  • Algorithm engineer
  • Machine learning software engineer
  • Python engineer
  • Machine learning technical lead
  • Research Scientist

How To Launch a Career in Machine Learning

You may be able to land an entry-level role in the industry without a degree, but you’ll likely have a much better chance of getting a good job if you first attend and complete a degree in the field.

The best way to develop the skills, knowledge, and credentials you need to get a good job in this competitive space is to study machine learning in a serious academic setting, like CSU Global’s online Master’s Degree in AI and Machine Learning program.

Our program will provide you with all the skills and knowledge you need to launch a successful, lifelong career as a machine learning expert. We’ll also prepare you for success with the professional experience and academic credentials needed to convince hiring managers that you’re prepared to provide value to their organization from day one.

Studying at CSU Global ensures that your degree will be respected, and earning your Master’s in Machine Learning should help increase the odds that you can land a management or leadership role in the industry.

Should I Get My Degree in Machine Learning Online?

Yes, you should consider completing your Master’s in Machine Learning online, especially if you’ve already got a busy schedule full of other responsibilities, like work or family duties.

CSU Global’s accelerated online M.S. in Machine Learning is the perfect solution for anyone that needs a program that will work around their schedule, as we provide far more flexibility than traditional in-person degree programs.

Our flexible online program makes it much easier to juggle your educational pursuits with existing work and family responsibilities, as we offer:

  • No requirements to attend classes at set times or locations.
  • Monthly class starts.
  • Accelerated, eight-week courses.

If you’re looking to get your degree, but need the flexibility to study in your time and at your own pace, then you should think about getting your degree online with us.

Why Should You Choose CSU Global’s Master’s in AI and Machine Learning?

CSU Global’s Master’s Degree in AI and Machine Learning is regionally accredited by the Higher Learning Commission and was designed to help students who already have the technical acumen to develop their AI and machine learning skills so they can pursue an innovative, exciting career in a cutting-edge industry. 

Our AI and machine learning program is regionally accredited by the Higher Learning Commission and widely respected by industry professionals, it has also won several impressive rankings, including:

CSU Global itself is also widely regarded as an industry leader in higher education, having recently achieved several important rankings, including:

Finally, CSU Global also offers competitive tuition rates, a Tuition Guarantee to ensure your rate won’t increase, and Prior Learning Assessment (PLA) to help save you time and money.

To get additional details about our fully accredited, 100% online Master’s in AI and Machine Learning program, please give us a call at 800-462-7845, or fill out our Information Request Form.

Ready to get started today? Apply now!