Machine Learning Training for Veterans

Veterans and other eligible family members can access a wide variety of educational benefits through Post-9/11 GI Bill (Chapter 33), Veteran Readiness and Employment Program (Chapter 31), and Survivors’ and Dependents’ Educational Assistance (Chapter 35) benefits. If you are searching for the next path to take or transitioning back to life as a civilian, you can explore training programs that make the learning curve less severe and the learning process more enjoyable.

Take the programs at Noble Desktop, for example. They are veteran-approved and offer hands-on training that takes your skills to the level you desire. With these programs, you can learn all about machine learning and apply your skills to numerous situations once you leave the course. With Noble Desktop, you can take a leap of faith and work towards a career that offers stability, security, and competitive salaries. 

What is Machine Learning?

Machine learning is a type of artificial intelligence (AI) where computers continually learn from data and get better at completing tasks over time. This is done without human interaction, so it’s completely autonomous and optimizes operations for companies and individuals alike. It automates tasks that require human input such as giving user suggestions and predicting which products may be the most widely sold. It can also spot anomalies, such as fraud on credit cards. This technology can even help doctors diagnose challenging diseases. All in all, it’s about using data to teach computers to make smart decisions and solve problems.

With machine learning, you can work on a ton of projects ranging from recommendation systems to image recognition systems. The recommendation systems can be similar to the ones that you see on Netflix for shows or Amazon for products and make it easier for consumers and viewers to continue using the application. You could also build predictive models that forecast trends, such as how a company’s sales may be in the next quarter or how many supplies and materials they should plan to obtain. Machine learning lets you get creative and solve all kinds of problems with data.

As big data and powerful computers became more important to everyday life, machine learning emerged almost seamlessly. At first, it was just about teaching computers to follow basic commands. Today, it is everywhere and it is incredibly powerful. It helps improve healthcare decisions, makes marketing even more effective, and saves companies money and time. Looking forward, machine learning will continue to grow and systems will evolve into something even more bewildering and intricate. The future of machine learning is exciting and going to shift as long as the tech industry begins to shift.

What Can You Do with Machine Learning Skills?

Machine learning skills can lead to a lucrative, rewarding career in numerous fields and companies. You could work for hospitals, financial institutions, and educational centers as well. If you are into tech, you might even create your own applications or AI-powered systems like chatbots or systems for autonomous cars. Machine learning is used almost everywhere so there is a ton of variety in what you can work on and where you can work. It is a professional skill that is secure, stable, and engaging.

Although machine learning is a highly professional skill it can also work for personal projects. You can build a system that teaches your computer to sort and reorganize photos, which is incredibly helpful if you are a photography hobbyist or have a side hustle as a Photographer. You can also track personal data associated with fitness goals or use it to find the best plane ticket through automated predictions. With machine learning, you can explore any new skill that interests you.

What Will I Learn in a Machine Learning Class?

In a machine learning class, you will dive into foundational skills needed to design, build, and deploy machine learning models. You will learn to write code in programming languages such as Python and R, understand the math behind these algorithms, and clean data for analysis. You will also explore key concepts of supervised and unsupervised learning and practice testing and debugging the models. Plus, you’ll gain experience using the frameworks and libraries that make machine learning more efficient. For veterans, this class can feel like an extension of problem-solving and decision-making, so if you consider yourself tech-savvy, you may be able to learn with ease. Although each machine learning class will differ in some way, these are typically the skills you can expect to cover.

Programming Languages

Programming languages such as Python and R are used frequently in machine learning. Python is great for its extensive libraries and simplicity whereas R is best for statistical analysis. Experience using programming languages allows you to write code that drives algorithms and models. Veterans who have experience with structured problem-solving or technical tasks in the military may have a better time picking up these skills.

Frameworks and Libraries

Machine learning frameworks and libraries like TensorFlow, Keras, and Scikit-learn are necessary for performing most machine learning tasks. You will receive hands-on experience with these frameworks and libraries since they make it possible for a wider range of tasks to be completed, including everything from data analysis to deep learning. If you have a background in technology or operational efficiency, and understand how to design systems for maximum efficiency, this task may come naturally.

Data Preprocessing

Data preprocessing involves cleaning and organizing raw data before providing it to a model. This step is essential because the quality of the data directly affects the performance of your model. You will learn how to clean and transform data to make it ready for analysis. Some parts of military work require handling large sets of information at once and managing them effectively. This process is similar and may be relatively agreeable to a veteran.

Supervised and Unsupervised Learning

Machine learning techniques are broadly divided into supervised and unsupervised learning. Classes that focus on this aspect of machine learning will explain that supervised learning is the process of training models on data where the answer is already known. Unsupervised learning, on the other hand, tries to find patterns or groupings autonomously. This allows the model to develop even further. Supervised learning aligns with a more problem-solving approach, which a veteran may appreciate. Unsupervised learning may feel more like troubleshooting or uncovering hidden trends in data.

Model Testing

Once a model is built, you have to make sure it performs well. To do this, you will have to test models for their accuracy, precision, recall, and other performance metrics. Then, you may have to debug them through various practices, all of which would be covered in an in-depth machine learning course. As a veteran, you understand the implications of operations moving smoothly. Evaluating results in high-stakes situations or troubleshooting complex systems is something you may already be used to doing, so you might excel in this area.

Mathematics and Statistics

The foundation of machine learning is math so you will have to ensure you have a strong foundation that allows you to keep up with the material. You won’t be able to cover certain concepts without knowledge of statistics, probability, linear algebra, and calculus since they are essential for understanding how algorithms make predictions and decisions. Veterans with analytical or technical experience in the military may already be familiar with some of these concepts, which gives them an advantage in mastering the mathematical aspects of machine learning.

Support for Veterans

Transitioning from military service to civilian life can be a lot to handle. The good news is, you don’t have to do it alone. There are tons of resources and support systems available to help make the process smoother, starting with the GI Bill. This benefit, established in 1944, has been helping veterans pursue education career goals after their service. Whether you are aiming for a traditional college degree or something more specialized like a certificate, the GI Bill can make it affordable and a lot less stressful.

You may be unsure whether you qualify for the GI Bill, and in that case, you could always fall back on the Forever GI Bill. This ensures no veteran falls through the cracks and can access the educational benefits they deserve. If you have served at least 90 days of active duty since September 10, 2001, were honorably discharged, or have a service-related disability, you are eligible for educational benefits through these bills.

These benefits are designed to help you acquire tools and skills that help you succeed as a civilian. They help cover tuition, books, fees, and even housing if you want to enroll in a full-time, in-person program. If you are considering a certificate program, Noble Desktop is worth checking out. They offer veteran-approved certificates with extra benefits that make the shift from military to home life even easier. You have earned it -- take advantage of these benefits today.

Why Learn Machine Learning?

Machine learning is one of the best fields in tech right now since it’s continually growing and increasingly necessary. If you are a veteran in search of a fresh start or a challenge, machine learning is a great choice. Veterans have problem-solving and various tech skills, which are key for studying machine learning. Whether you want to build smarter computer systems or work directly with AI, you can learn skills that help you considerably in numerous fields and positions. In addition to the employable skills, the job availability, salary, and job structure make this a desirable field.

Job Availability

The job market for machine learning professionals is considerable. Companies in virtually every industry, including tech, finance, healthcare, and manufacturing, are using machine learning to improve operations. Veterans who want to learn machine learning can explore dozens of job titles and have endless openings to choose from. Whether you want to work with AI, data analytics, or software engineering, you can find a career that suits your needs and wants.

Employability

Adding machine learning to your skill set makes you an attractive candidate for any company. The field is growing quickly and is changing the way almost every other industry works, so you are bound to find a machine learning job available no matter where you look. Machine learning is part of everything from autonomous cars and medical tech, so if you learn this skill, you are considered a highly employable individual. Veterans want to find a job that’s worthwhile and have no trouble getting it.

Salary Expectations

Machine Learning Engineers can earn lucrative salaries and can steadily rise in ranks throughout their company. Most feel that the job is adequately challenging and intriguing while still being enjoyable. Indeed shares insights into salary expectations by compiling reported salaries around the country. A Machine Learning Engineer in the United States earns close to $162,000, according to these reports, but the range is quite substantial depending on the level of experience and location. For example, those in San Francisco can earn closer to $191,000 whereas those in San Diego earn closer to $136,000. Regardless, these salaries are desirable, competitive, and rewarding.

Work-Life Balance

A serious benefit of most machine learning jobs is that they offer a healthy balance between work and personal life. A lot of companies in this field offer flexible, understandable hours or remote work options if you prefer that method of work. You could work as a freelance professional or contract worker and set your own schedule. If you have spent time in the military, you are likely used to rigid routines and yearn for a more flexible lifestyle. A machine learning position can offer you this.

Honing Technical Skills

Studying machine learning is just the first step for a lot of people. You may decide to dive deeper into other fields like data analytics once you’ve studied machine learning. You will learn a variety of skills, such as Python and R, that make you a highly sought-after candidate and give you the chance to learn additional skills that go beyond machine learning. These are complementary or supplementary to the other abilities listed on your resume and overall give you a more well-developed skill set.

Why Choose a Machine Learning Bootcamp or Certificate?

If you’re deciding to study machine learning but don’t want to spend years in school, a bootcamp or certificate is a great option. These programs are designed to get you ready to handle realistic workplace tasks and give you direct, hands-on experience with the material. This is especially useful for a veteran who is transitioning back into life as a civilian and wants to make the shift as seamless as possible. Through this type of training method, you will have access to a stellar education, the chance to learn how you want, and the ability to jump into a great career.

Hands-On, Practical Experience

Bootcamps and certificates pride themselves on offering hands-on experience with the material, which means you won’t have to worry about wasting time. From the start, you can expect to work on realistic projects like coding and learning how to solve machine learning problems. You will go beyond simply memorizing facts and understand how to put your skills to practical use. This is perfect for veterans who like to learn by doing, not just sitting through lectures and taking quizzes.

Flexible Scheduling

If you want flexible learning options, bootcamps and certificate programs offer all kinds of courses. You could enroll in a weekend course or one that occurs after work hours. Moreover, you could find some that take place remotely in a live online setting. With family time, hobbies, and other personal commitments looming, civilian life is hectic enough. A veteran may want to honor their time and spend it wisely. Therefore, a bootcamp or a certificate program is the best option to do so and still gain practical, applicable skills.

Career-Ready in Less Time

Sometimes, the time it takes to gain a new skill is what holds people back. Some people find it difficult or frustrating to spend years in school learning a skill because it often requires completing electives. Unlike college programs, bootcamps and certificates last a few months because they focus only on the most practical application of skills. Compared to several years, this is a considerable difference that can make or break your learning and job search experience. You can acquire job-ready skills in just a few months and feel ready to shift into a civilian-life career without a hitch. For a veteran who doesn’t want to waste time and start feeling comfortable day-to-day, you may especially value this.

Job Assistance and Other Benefits

One of the biggest reasons people opt for a bootcamp or certificate program is the wealth of resources and benefits you will have at your disposal. For someone like a veteran who is coming back to the classroom after considerable time away, this is especially important. Bootcamps and certificate programs frequently offer additional benefits like resume assistance, portfolio development, interview prep, and a free retake of the course. You can also partake in networking opportunities to connect with companies and other hiring individuals. For veterans, this support can make a huge difference in shifting back to civilian.

Learn Machine Learning at Noble Desktop

Noble Desktop is a well-known training provider offering courses in fields like machine learning, AI, data analytics, software engineering, marketing, and design. The programs are veteran-approved, making them a great option for veterans and other individuals who want to upskill or start a new career. The courses are interactive and practical rather than hands-off so you get the most out of your learning experience. Plus, Noble Desktop offers additional benefits like flexible payment plans, a free course retake, and one-on-one mentoring outside of the classroom. You will also receive support on your resume and portfolio, which is a considerable perk before embarking on the job search.

One of the best ways to learn machine learning with Noble Desktop is in the 114-hour Data Science and AI Certificate program. Here, you’ll learn data analysis, predictive modeling, automation, and machine learning in addition to using several tools like Python and its extensive libraries as well as SQL. Through various hands-on projects, you will learn how to analyze tabular data with NumPy and Pandas, create graphs and visualizations with Matplotlib, and clean and balance data in Pandas. You will create visualizations like 3D stats models, histograms, and time series data graphs. Additionally, you’ll learn to evaluate the performance of machine learning models by testing and troubleshooting. By attending this program, you’ll gain all the skills needed for a well-rounded data science career and can also attend the Python for AI course where you can learn to create applications with Flask and OpenAI.

If you prefer to specialize in data analysis, you can enroll in the Data Analytics Certificate. This course is a deep dive into analysis, visualization, and statistical techniques and comes with free enrollment in the Python for AI: Create AI Apps with Flask and OpenAI course. Over 156 total hours, you’ll learn how to use tools like Excel, Tableau, Python, and SQL. You’ll learn to manipulate data with Excel as well as collect, clean, and analyze data with Python and its libraries. You will also practice extracting information using SQL to interact with databases. Moreover, you’ll use Excel, Tableau, and Python to visualize data so everyone can understand it, regardless of their experience with the data and information. The practical projects and interactive lessons will provide an effective learning experience, regardless of your previous experience.

Enrolling in the Python Developer Certificate from Noble Desktop ensures you have all the tools and skills necessary to master Python. Through a series of portfolio projects and hands-on activities, you’ll learn the fundamentals of Python and object-oriented programming. You will explore and practice using tools such as Python, Git, GitHub, Visual Studio Code, and SQL for a variety of tasks, including automating tasks, interacting with APIs, and deploying projects. Between building dashboards and applying machine learning algorithms using the scikit-learn library, you will have no shortage of Python training and leave feeling confident to find work as a Python Developer or related position.