As technology develops and we continue to rely on artificial intelligence, it’s more important than ever to have industry professionals that understand these systems. You can do this by studying machine learning, an area of study that focuses on the development of computer programs that can access data and use it for themselves. There are plenty of online courses that can teach you all about this specialty to gain new skills and even accelerate your career. You can start an online search to find out what courses are available now.
Machine learning courses are taught with various focuses, expertise levels, and costs. Search online to discover how these courses can expand your career options and skillset.
Here are five machine learning courses you can take online.
1. Applied Machine Learning: Foundations by LinkedIn Learning
Beginners and intermediate machine learners can take this course on LinkedIn Learning.
The Applied Machine Learning: Foundations course is the first installment in the two-part Applied Machine Learning Series. It covers topics like:
- Plotting continuous features;
- Measuring success;
- Turning hyperparameters, and;
- The difference between ML, deep learning, and AI.
The course is taught by Derek Jedamski, a data scientist at GitHub. It has two and a half hours of video content that dives into the basics of machine learning. You will learn from the instructor and take part in exercises to further your learning.1
2. Machine Learning by Stanford University
Price: $79 (enroll for free)
This machine learning course is hosted by Coursera and taught by Stanford University. It provides a broad introduction to this specialty with topics including supervised learning, unsupervised learning, and best practices in machine learning. You’ll put your mind to the test by doing case studies that will teach you how to apply learning algorithms to building smart robots, text understanding, database mining, and more.
This 11-week course takes an estimated 60 hours to complete, but you can schedule your learning however you want. You’ll watch videos, do readings, and quizzes throughout the two to five-hour modules.2
3. Machine Learning by Columbia University
Price: Free (add a verified certificate for $250)
Over 150,000 people have already enrolled in the machine learning course that Columbia University hosts through edX. The course aims to teach you the essentials of machine learning and algorithms to help improve learning from data without human intervention.
The course takes about 12 weeks to complete with eight to 10 hours per week of class time. It’s for advanced machine learning students with prerequisites in calculus, linear algebra, probability, and statistical concepts.
The course is taught by John W. Paisley on a schedule, so search online to find out when the next enrollment period starts.3
4. Learning Track: Machine Learning & Deep Learning in Financial Markets by Quantra
Those looking for an in-depth course about machine learning should check out this one hosted by Quantra. Ideal for both foundation and advanced learners, it covers everything from the basics of machine learning to even learning how to use predictive models in financial live trading markets.
The course is written in collaboration with Dr. Ernest P. Chan and will take 39 hours to complete. You’ll be able to understand why and how predictive models fail, learn how to create improved models, code and fine-tune various machine learning algorithms, and lots more after completing the course.4
5. From 0 to 1: Machine Learning, NLP & Python-Cut to the Chase by Udemy
Learn how to put machine learning to good use with this course hosted by Udemy. You will learn how to identify situations that call for the use of machine learning, solve problems, and understand which type of machine learning problem you are solving to identify an appropriate solution.
Students will partake in 16 sections and 94 lectures that will take about 20 hours of total class time. It’s a quirkier course that uses irreverent examples, which is something to consider if you’re looking for a less traditional lesson.
Although no prerequisites are necessary, it would be beneficial to have a background in undergraduate-level math and a working knowledge of Python.5
Explore Machine Learning Career Paths Online
Take your learning online with one of these affordable and accessible courses. Machine learning can be done from the comfort of your home at whatever schedule works for you.
To find one that’s right for you, compare the syllabuses and learning methods each course offers and get started today.