Machine learning is a part of artificial intelligence, it involves computers that are capable of understanding how to perform various tasks without specifically being programmed to do so. In other words, it’s the study of computer algorithms that can improve automatically by performing various tasks.
Machine learning is strongly related to other studies such as computational statistics, mathematical optimization, data mining, data analysis unsupervised learning, predictive analytics, and multiple other fields. That said, when looking for MIT machine learning courses, you might also come across these related fields. Needless to say, you should definitely check them out for in-depth understanding.
Now, today we’ll take a look at the most recommended MIT machine learning courses available online. Feel free to take a quick look at the courses that we’re going to discuss:
- MicroMasters® Program in Statistics and Data Science
- Machine Learning with Python: from Linear Models to Deep Learning
- Machine Learning for Healthcare
- Computational Probability and Inference
- Collaborative Data Science for Healthcare
- Data Analysis: Statistical Modeling and Computation in Applications
- Fundamentals of Statistics
Before jumping straight to the very best MIT machine learning courses, let’s take a look at the reasons why you should choose online classes.
Table of Contents
- 1. MIT Machine Learning Courses: Why Study MIT Courses Online?
- 2. MicroMasters Program in Statistics and Data Science (Enroll HERE)
- 3. Machine Learning with Python: from Linear Models to Deep Learning (Enroll HERE)
- 4. Machine Learning for Healthcare
- 5. Computational Probability and Inference (Enroll HERE)
- 6. Collaborative Data Science for Healthcare (Enroll HERE)
- 7. Data Analysis: Statistical Modeling and Computation in Applications (Enroll HERE)
- 8. Fundamentals of Statistics (Enroll HERE)
- 9. Why Choose edX?
- 10. Conclusions
MIT Machine Learning Courses: Why Study MIT Courses Online?
Machine learning can help people to create the needed algorithms easier when it comes to more complicated tasks. That’s because the machine is capable of developing its own algorithm.
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Now, there are multiple approaches to machine learning, including supervised learning, unsupervised learning, reinforcement learning, and others. To understand each of these approaches as well as other related information better, it’s crucial to choose top-rated machine learning courses.
It’s clear that when it comes to machine learning, a traditional learning institution is not your only option, you can actually find some of the best-rated MIT machine learning courses online.
Now, the Massachusetts Institute of Technology (MIT) was established back in 1861 and is located in Cambridge, Massachusetts. Needless to say, it’s one of the most prestigious institutions of higher education that many young people want to become a part of. There are 97 Nobel laureates, 26 Turing Award winners, and 8 Fields Medalists among MIT researchers, alumni, and faculty members.
While MIT is an amazing institution of higher learning, its acceptance rate is only 6.7%. That’s the very first reason for choosing MIT machine learning courses online. Online classes are accessible for literally everyone as long as you have a computer with internet access. There’s no need to prove your knowledge in the field, perform difficult tests, and so on, you can simply choose a course and start learning.
Also, there’s no need to worry about the lack of experience or knowledge because MIT machine learning courses online are suitable for almost everyone, including beginners intermediate-level students, and advanced learners. Of course, experts can also enroll if they want to refresh their knowledge in a specific field.
Another reason for choosing MIT machine learning courses online is the price. It costs about $70,000 per year to study at MIT, however, online courses are so much more affordable. In fact, you’ll be able to enroll in some top-rated MIT machine learning courses on edX completely free, there are no hidden fees.
Furthermore, traditional education requires a lot of free time. That’s related not only to the fact that you have to follow a strict schedule but also to driving to and from classes. Now, when it comes to online courses, in most cases you can study at your own pace. This means that you don’t have to adjust your schedule, simply enroll in classes whenever you find the time. Also, keep in mind that you can learn from the comfort of your home.
It’s undeniable that choosing MIT machine learning courses online is the best way to go. Now that it’s clear, let’s take a look at the top-rated options!
MicroMasters Program in Statistics and Data Science (Enroll HERE)
- Platform: edX
- Duration: 1 year 2 months
- Price: FREE
- Certificate: $79
- Level: Introductory
- Apply HERE
The very first option that I would like to discuss is not particularly a course, it’s even better. MicroMasters Program in Statistics and Data Science offered by MIT will provide you with the most in-depth knowledge in machine learning statistics and data science. All of these fields are highly related, so having knowledge in all of them might provide you with amazing possibilities.
The program consists of 5 graduate-level courses, including Probability - The Science of Uncertainty and Data; Fundamentals of Statistics; Machine Learning with Python from Linear Models to Machine Learning; Capstone Exam in Statistics and Data Science. Also, you will need to select one of the following courses: Data Analysis in Social Science -Assessing Your Knowledge, or Data Analysis: Statistical Modeling and Computation in Applications. Since each of these courses is highly recommended, we’ll discuss a few of them separately today.
Now, as this is an extensive program, you should be able to complete it within 1 year 2 months when learning about 10-14 hours per week. Even though it’s quite flexible, the exams and various assignments have specific deadlines that you will need to follow. Currently, the program costs $1,350. Since you’ll gain valuable knowledge that can be applied in real-world situations, this program is completely worth the price.
In this machine learning online course MIT you’ll have multiple instructors, including Regina Barzilay, Eren Can Kizildag, Dimitri Bertsekas, Esther Duflo, and others. All of them work at MIT and have expertise in machine learning, artificial intelligence and other similar fields. Needless to say, they will provide you with top-quality training.
Now, after completing the MicroMasters Program in Statistics and Data Science you will learn:
- The basics of machine learning, statistics and data science.
- The ability to perform analysis of Analyze big data and make data-driven predictions through probabilistic modeling and statistical inference.
- The ability to extract meaningful information for decision making by identifying and deploying appropriate methodologies and modeling.
- Gain knowledge that’s needed to start a career in data science, data analysis, data engineering, and other similar fields.
- Developing and building machine learning algorithms to extract important information from what seems to be unstructured data at first.
There’s so much to cover, so why not start learning right away?
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Machine Learning with Python: from Linear Models to Deep Learning (Enroll HERE)
- Platform: edX
- Duration: 15 weeks
- Price: FREE
- Certificate: $300
- Level: Advanced
- Apply HERE
Machine Learning with Python: from Linear Models to Deep Learning is one of the most popular MIT machine learning courses with more than 100,000 students enrolled. This one is a part of the MicroMasters Program that we discussed before.
The course will provide you with an introduction to machine learning, including linear models, deep learning and reinforcement learning. It includes not only theoretical knowledge but also hands-on experience. What’s important to keep in mind, though, is that this course is recommended for advanced students, meaning that you should have at least some knowledge in the field.
Now, the Machine Learning with Python course should take you about 15 weeks to complete when learning about 10-14 hours per week. Even though it's quite intensive and will require your time, it’s definitely worth it. Once you complete this course, you will receive a professional MIT machine learning certificate from edX.
This certificate is official and verified, meaning that you can use it to land a better job offer. What is more, you can easily share it with employers, add it to your CV and portfolio as well as get a burst of motivation. While you can enroll in this course completely free, the certificate currently costs $300.
The MIT machine learning course consists of multiple lectures and a few projects. The lectures cover such topics as linear classification, separability, perception algorithm, deep learning, backpropagation, recurrent neural networks, generative models, and so much more. The projects include Reinforcement Learning, Digit Recognition with Neural Networks, and Automatic Review Analyzer.
In Machine Learning with Python, you will have 3 instructors: Regina Barzilay, Tommi Jaakkola, and Karene Chu. All of them have knowledge in computer science, machine learning, artificial intelligence, and other similar fields.
In this course, you will gain valuable knowledge. That includes:
- The principles behind the problems of machine learning, including regression, classification, clustering and reinforcement learning.
- The ability to analyze and put into practice various models, such as kernel machines, linear models, neural networks, and others.
- Implementing and organizing various machine learning projects, from the very beginning to the end.
- Know how to choose suitable models for different applications.
When it comes to this course, you get 2 different options - to take this course separately or enroll in the MicroMasters program and take not only this one but also multiple other courses that will provide you with additional knowledge in machine learning.
Machine Learning for Healthcare
- Platform: edX
- Duration: 15 weeks
- Price: FREE
- Certificate: $49
- Level: Advanced
- Apply HERE
You probably know that machine learning and artificial intelligence are often used in healthcare. That’s exactly what this course is about - machine learning for healthcare.
The Machine Learning for Healthcare course will cover all the basics related to machine learning for healthcare. You will cover not only theoretical material but will also be working on Python projects to get hands-on experience.
This course is considered to be suitable for advanced students, however, you don’t need to have that much expertise as you will begin with the basics. It’s also important to mention that it’s an instructor-led course, meaning that you will need to stick to a schedule in order to learn everything that you need to know. For this reason, this course is highly recommended for employees who are already working in this field, yet want to deepen their knowledge even more.
The machine learning online course MIT basically consists of 6 parts. You will need about 2-3 weeks to complete each of them. The lectures include Overview of Clinical Care & Data, ML for Risk Stratification & Diagnosis, Human Factors, and others.
In general, you’ll be exploring machine learning, how it can be used to improve patient outcomes, how to use it for risk stratification and diagnosis, disease progression modeling, precision medicine, and other cases.
This course will be led by 3 instructors, including David Sontag, Peter Szolovits, and Zachary Strasser. What is more, you will get an opportunity to participate in guest lectures by clinicians and work with real clinical data.
This course will teach you:
- How machine learning can be used to understand the disease and its progression, specific clinical applications, and risk stratification.
- Analyzing and implementing modes for supervised prediction, interpretability analysis and causal inference from clinical data.
- Get a good understanding of physiological time-series, clinical text, and image data.
- Even though it’s a single course, there’s definitely a lot to cover here.
Computational Probability and Inference (Enroll HERE)
- Platform: edX
- Duration: 12 weeks
- Price: FREE
- Certificate: $49
- Level: Intermediate
- Apply HERE
The Computational Probability and Inference course is suitable for everyone who wants to build computer programs to make predictions. The course focuses mostly on probabilistic analysis and interference that are used to recognize which emails are spam, what kind of Google results to provide you with, they even help self-driving cars to navigate in their environment. That being said, probabilistic analysis and interference are used everywhere around us.
Talking about the length of this course, you should be able to complete it within 12 weeks when learning about 4-6 hours per week. What is more, you can start learning completely free, unless you want to get a professional MIT machine learning certificate once the course is finished. If that’s the case, it will cost you $49. That’s very affordable, to say the least.
To enroll in this course, it’s recommended that you have some knowledge in Python programming, understand calculus, and be aware of mathematical notation (this skill could be very helpful when learning).
This course includes multiple classes that cover topics such as incorporating observations, introduction to inference, and structure in distributions, expectations, and driving to infinity in modeling uncertainty, and others.
In this course, you will have 4 instructors: George H. Chen (postdoc at MIT in Electrical Engineering and Computer Science), Polina Golland (professor of Electrical Engineering and Computer Science at MIT), Gregory W. Wornell (professor of Engineering at MIT), and Lizhong Zheng (Professor in the Department of Electrical Engineering and Computer Science at MIT). Every instructor is highly skilled and experienced.
Now, here’s the knowledge that you will gain after completing this course:
- The ability to model real-world problems when it comes to probabilistic inference.
- Know what algorithms are used for prediction and inference.
- Understand graphical models that are used as a data structure for representing probability distributions.
- Be aware of the basic discrete probability theory.
If you find this course slightly too advanced, it’s recommended to start with a MicroMasters Program that will explain everything from the very beginning.
Collaborative Data Science for Healthcare (Enroll HERE)
- Platform: edX
- Duration: 12 weeks
- Price: FREE
- Certificate: $49
- Level: Advanced
- Apply HERE
Collaborative Data Science for Healthcare is suitable for advanced-level individuals and is mostly recommended for healthcare providers, computer scientists and other specialists who aim to improve health by gathering data and analyzing patient care.
The course is not aimed at people who have zero knowledge of programming. Talking about requirements, you should have some experience with R, Python or SQL. However, if you’re taking this course together with a team of computer scientists, then you should be fine without programming skills.
This MIT machine learning course consists of 3 main parts. In the first one, you’ll be covering the basics, including the explanation of what data science is, how it has changed over the years and the challenges that people are facing in this field. In the second part, you’ll be covering various terms and processes, such as defining the patient cohort, data preparation, missing data, noise versus outliers, and so much more. The final part is the workshop, meaning that you will put everything into practice.
As I already mentioned, this machine learning online course MIT is recommended for advanced learners. Moreover, it should take you about 14 weeks to complete when learning about 2-3 hours per week. Also, you can start learning without any charges, however, if you decide to get a certificate, it will cost $49. Purchasing a certification is not mandatory, but since it can be easily added to your CV in order to show off your skills, it’s completely worth it.
Once you complete this course, you will have a pretty good understanding about:
- Understanding of principles of data science can be applied to healthcare.
- The ability to perform electronic health records analysis.
- AI and machine learning in healthcare.
Even if you’re not sure whether or not you have enough knowledge to be able to keep up with this course, you can check it out completely free.
Data Analysis: Statistical Modeling and Computation in Applications (Enroll HERE)
- Platform: edX
- Duration: 15 weeks
- Price: FREE
- Certificate: $300
- Level: Advanced
- Apply HERE
The Data Analysis: Statistical Modeling and Computation in Applications course is a part of the MIT MicroMasters Program in Statistics and Data Science that we already discussed in the very beginning. However, it’s worth checking out separately.
This course is quite an intensive one, you’ll be covering various statistical and computational tools, common models and methods that help to analyze specific data. Also, you’ll get hands-on experience when analyzing a real data set.
Now, the course lasts 15 weeks, however, to be able to complete it within this time, you will need to study about 10-15 hours per week. That said, once you decide to enroll in this MIT machine learning course, you will need to put a lot of effort into learning.
If you’re slightly hesitating and are not sure if this is a suitable option for your wants and needs, you can start learning for free. In fact, you can complete this course completely free if you don’t need a certificate. The certification, though, is a bit pricey - $300. However, knowing that it's verified and accredited, it could help you to land a better job offer.
The course consists of 2 modules:
- Review: Statistics, Correlation, Regression, Gradient Descent
- Genomics and High-Dimensional Data
After completing this Data Analysis course, you will learn how to analyze networks and describe the importance of nodes using centrality measures as well as apply it to criminal networks. You will also know how to perform statistical analysis on real data, communicate the results of analysis effectively, and gain other valuable skills and knowledge that you’ll be able to apply in real-world situations.
Fundamentals of Statistics (Enroll HERE)
- Platform: edX
- Duration: 18 weeks
- Price: FREE
- Certificate: $300
- Level: Advanced
- Apply HERE
Fundamentals of Statistics, the final course that I want to introduce, is a part of the MicroMasters Program in Statistics and Data Science offered by MIT. In this course, you will mostly focus on the principles that support statistical inference: estimation, prediction, and hypothesis testing.
This course is one of the most popular ones as almost 100,000 students have already enrolled. It’s also suitable the most for more advanced learners who have previous experience in vectors and matrices, probability and calculus. The course will improve not only your statistical skills but also your knowledge in machine learning, data science, artificial intelligence and mathematics.
When it comes to the courses that are a part of the Micromasters Program in Statistics and Data Science, Fundamentals of Statistics is one of the most in-depth ones. The course lasts about 18 weeks when studying 10-14 hours per week, and you will need to stick to a schedule when it comes to tests and assignments.
Now, even though you get an opportunity to enroll in this course completely free, it’s definitely recommended that you also purchase a certificate. As already mentioned, edX certificates are official and verified, so they’re highly valuable when searching for new work opportunities.
Let’s take a look at the skills and knowledge that you will acquire after this course:
- Use methods of moments and maximum likelihood to construct estimators.
- How to use confidence intervals and hypothesis testing.
- Finding the most suitable model to perform a test.
- Use linear, nonlinear and generalized linear models to make predictions.
- Use principal component analysis (PCA) to perform dimension reduction.
There’s so much more that you will learn in this course, I distinguished only the main points.
Why Choose edX?
As you already know, all of the most recommended MIT machine learning courses online are offered by edX. edX is known as one of the leading MOOC providers that partners with multiple institutions of higher education. However, that’s not the only reason for choosing this online learning platform, there are multiple other factors that come into play.
Now, let me provide you with the most significant reasons for choosing edX.
Reason #1: Verified and accredited certifications.
edX is one of a few online learning platforms that provide you with accredited MIT machine learning certificates. As you probably already know, the majority of MOOC providers offer certifications, however, they’re not accredited, meaning that they’re not as valued among employers. Needless to say, this is one of the exceptional edX features.
Reason #2: Learn from leading universities and other institutions of higher education.
Massachusetts Institute of Technology (MIT) is not the only institution that edX partners with, you can also find top-rated courses offered by Harvard University, University of California, Brown University, University of Oxford, University of Cambridge, and multiple other leading universities and institutions. Needless to say, one of the main reasons for choosing edX is that you can be sure to get the highest-quality education.
Reason #3: Learn from the experts.
Since edX partners with multiple prestigious universities and other institutions of higher education, you will be learning from the experts in their field. If you choose MIT machine learning courses on edX, you will be able to experience what it’s like to be a real student at the Massachusetts Institute of Technology. Also, if you choose a machine learning program, you will be able to receive feedback from instructors, evaluations of your assignments, and so on.
Reason #4: Learn at your own pace.
What’s amazing about edX and other similar online learning programs is that you don’t have to follow a schedule, you can easily learn at your own pace, whenever you find the time. When it comes to edX courses, they’re completely flexible, however, if you choose a program, you will have specific deadlines for assignments. However, that will make the whole learning experience even more exciting.
Reason #5: Choose from free and very affordable courses.
The final reason for choosing MIT machine learning courses online is that they are very affordable. In fact, the majority of them are completely free. There are a few things that you will need to pay for, though. That includes some courses that are a part of a program, and a certificate of completion.
To sum it all up, edX is one of the best platforms that offer MIT machine learning courses, so there’s no room left for hesitation - simply choose a course and start learning.
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Conclusions
Machine learning courses are becoming more and more popular as this study is widely used in our everyday lives. It’s a part of artificial intelligence and is strongly related to computational statistics, mathematical optimization, data mining, data analysis unsupervised learning, predictive analytics, and other similar studies.
Finding the most worthy machine learning courses is not always easy, that’s why it’s best to choose options offered by reliable institutions and universities. For this reason, today we covered the most popular MIT machine learning courses that are definitely worthy of your time.
I bet that you’ve already found the course that’s suitable for your needs, however, you can check out the options that we talked about once again if that will help you to make a decision:
- MicroMasters® Program in Statistics and Data Science
- Machine Learning with Python: from Linear Models to Deep Learning
- Machine Learning for Healthcare
- Computational Probability and Inference
- Collaborative Data Science for Healthcare
- Data Analysis: Statistical Modeling and Computation in Applications
- Fundamentals of Statistics
These MIT machine learning courses are considered to be the very best ones that are available online. Multiple student reviews can confirm that. So now that you have this many options to pick from, you should make the most of your learning experience.
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