Udemy is a highly recommended platform for machine learning. The instructors have made a relatively complicated topic accessible to broad audiences. In addition, the materials are up-to-date with the ever-evolving landscapes of various machine learning libraries. Once you’ve acquired this skill, you can apply it in programming, video game design, marketing, and many other fields.
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How to Choose the Best Machine Learning Course
Before we give you a list of the best machine learning courses on Udemy, here’s how to select the right course for you.
- Find Your Topic of Interest. When choosing your ML course, the most important factor you need to consider is picking a topic that genuinely piques your interest. The below video will provide you with an idea of the types of skills you could learn. You should also take any specific industries you’re interested in into consideration.
- Identify Your Learning Needs. Next, it’s vital to consider whether the course structure and learning materials align with your needs. Beginner modules are great if you’re entirely unfamiliar with machine learning and wish to acquire basic knowledge. Do you need a shorter course that you can work through in your spare time or do you want a more in-depth option that allows you to test your skills?
- Consider the Course Creator. Lastly, you want to consider the creator of the course. Are they well known in the machine learning space? Do they operate in an industry you are interested in?
With these factors in mind, we can now move onto the best machine learning courses on Udemy.
Best Machine Learning Courses on Udemy
There are more than 20 machine learning courses on Udemy. Here are the best options:
1. Machine Learning A-Z: Hands-on Python & R in Data Science
- Cost: $109.99
- Duration: 44 hours
- Qualification: Certificate of completion
This is an exceedingly popular online machine learning course on Udemy, with more than 700,000 students who have successfully completed the course to date. It combines practical exercises and theory classes, meaning you’ll get an excellent theoretical foundation and technical know-how.
It starts with basic information such as simple linear regression and guides you toward more complex subjects. Some of the best-presented topics include NLP, dimensionality, deep learning, and data preprocessing.
This course is also excellent if you’re already familiar with some aspects of machine learning. It allows you to only access the lessons you need, meaning you won’t have to go through previously explored topics.
2. Machine Learning, Data Science, and Deep Learning with Python
- Cost: $109.99
- Duration: 15.5 hours
- Qualification: Certificate of completion
This course is ideal if you want to learn the methods used by real-life machine learning practitioners and scientists in the industry. It’s a comprehensive tutorial that comprises more than 100 lectures and 15 hours of video materials. Some of the topics consist of hands-on code examples you can use for practice and reference.
The instructors introduce each concept in simple terms, avoiding confusing jargon and mathematical notation. Then, they demonstrate the notions with Python code. As previously mentioned, you can use this example for future reference and expand your knowledge.
Furthermore, this course is perfect for software developers who want to switch to a more lucrative machine learning path. It offers a solid base for additional classes without overwhelming you with complex tasks from the get-go.
3. Introduction to Machine Learning for Data Science
- Cost: $84.99
- Duration: 5.5 hours
- Qualification: Certificate of completion
The biggest difference between this online machine learning course and previous classes is that it’s broader and more general. As the name suggests, it serves as an introductory module to data science and machine learning. Therefore, it’s a terrific choice if you’re making your first steps into this field.
Created by David Valentine, this course provides a wide array of information, such as technical terms, their application in the contemporary world, and prospects. It also involves many opportunities to obtain valuable hands-on experience through real-life examples.
Recent updates contain crash courses on Matplotlib, Pandas, Python, NumPy, Jupyter, Notebook, and many other platforms. There are also extra resources for students who want to continue their machine learning on their own.
4. Unsupervised Machine Learning Hidden Markov Models in Python
- Cost: $29.99
- Duration: 9.5 hours
- Qualification: Certificate of completion
This is one of the best machine learning courses on Udemy that introduces you to a well-established algorithm called the Hidden Markov Model. It allows you to analyze sequences that occur in several operations, including borrowing and repaying funds.
The instructors teach you how to measure the likelihood and sequence of certain variables. You’ll delve deep into Tensorflow and Theano, two of the most widely-used deep learning libraries.
On top of that, you’ll discuss the practical uses of this model. These include explaining how DNA translates into behavioral or physical attributes of your organism. This makes it perfect for professionals and students interested in gene expression and DNA analysis.
5. Machine Learning with JavaScript
- Cost: $119.99
- Duration: 17.5 hours
- Qualification: Certificate of completion
This is an excellent course for understanding the sub-disciplines in the machine learning world. It’s much easier to learn than Python, so you may want to consider this class if you’re a novice.
The tutorial teaches you a broad range of basic skills. For example, you can gain insight into some of the most common programming and math techniques used in ML algorithms. The list includes logistic regression, decision tree, and SVM.
The course doesn’t lack advanced machine learning tasks, either. Instead of deploying Python code on your server, you can create single-page apps. These enable you to develop a completely new use case.
6. Bayesian Bayesian Machine Learning in Python: A/B Testing
- Cost: $129.99
- Duration: 10.5 hours
- Qualification: Certificate of completion
A/B tests are used in a bevy of fields, including online advertising, newsfeeds, marketing, and retail. In this course, you’ll conduct traditional A/B tests to understand their complexity. You’ll also find out how to improve upon this testing with several adaptive methods. This way, you’ll be able to resolve explore-exploit dilemmas.
Another great thing about this course is that it teaches you about the epsilon-greedy algorithm that’s prevalent in the reinforcement learning context.
Moreover, you’ll eventually learn key information about Bayesian machine learning and how to apply it to data science.
7. Ensemble Machine Learning in Python: Random Forest, AdaBoost
- Cost: $29.99
- Duration: 5.5 hours
- Qualification: Certificate of completion
Besides its widespread application in finance, robotics, and online advertising, machine learning is also prevalent in medicine. This Udemy course is all about this field of science. It helps you understand how algorithms predict diseases and analyze medical findings on par with medical professionals.
The lessons revolve around several popular models, like logistic regression and decision trees. You’ll understand how to create models that are much more accurate than their original versions. You’ll also learn how to use AdaBoost and Random Forest algorithms.
Choose from a Variety of High-quality Machine Learning Courses
The best overall course on our list of the best machine learning courses on Udemy may be the first entry. The A-Z: Hands-on Python & R in Data Science class is terrific if you want a solid hands-on experience backed by a comprehensive theoretical background.
But other classes have a lot to offer, too. Udemy instructors are experts in their fields, and machine learning is one of the strongest categories on this platform. The community is responsive and supportive, while the learning materials are suitable for learners of all levels. Therefore, you should have a top-notch experience, regardless of your course.
If you want to explore more machine learning options, explore Coursary.