Top Machine Learning Courses In 2022
One of the latest & booming technologies that are impacting most of the industrial sectors is Machine Learning & AI. It is one of the most popular & exciting fields of computer science that is emerging day by day. Chatbots, spam filtering, search engines, fraud detection, etc., are some most amazing examples of how ML is making human's life smoother. Due to its popularity & increasing demands among companies, people are getting more excited about this technology and aiming to learn it. If you also want to learn this technology without joining any university and don't want to spend lots of money, then it is possible.
There are various amazing courses of Machine Learning available online, among which some are absolutely free, and some are paid. Some popular platforms, such as Coursera, Udemy, EdX, etc., provide online courses along with certification. These courses are taught by renowned people from the best universities. You can easily learn these courses online and can access them from anywhere. Some courses are free; however, to take the certification, you might need to pay. These certification courses help to learn the basics of machine learning and use them in projects and help to become an ML expert.
In this topic, we are providing a list of the best machine learning courses. Some of these courses are easy to start, while some may need some advanced aspects of learning.
- Machine Learning by Andrew Ng/ Machine Learning Course by Stanford University (Coursera's best course)
- Intro to Machine Learning by Udacity (FREE)
- Machine Learning A-Z: Hands-On Python & R In Data Science (Udemy best course)
- Machine Learning Crash Course - Google AI
- Machine Learning Courses-EdX
- Introduction to Machine Learning for Coders - Fast.ai
- Introduction to Machine Learning by Datacamp
- Machine Learning Specialization by Coursera
- Machine Learning by Python
- Python for Data Science and Machine Learning Bootcamp
1. Machine Learning by Andrew Ng/ Machine Learning Course by Stanford University (Coursera's best course)
One of the best & popular courses on Machine Learning on the Internet is a course by Andrew Ng on Coursera. The course is offered by Stanford University on the Coursera platform. This course is structured and taught by Andrew Ng, the world's renowned expert, Stanford Professor, and co-founder of Coursera. This course has approximately 4,330 425 learners worldwide with average ratings of 4.9 out of 5.
Time to complete the Course: Approx. 55 Hours
- Level: Beginner
- Pre-requisites:
- Ratings: 4.9/5
- Cost: Free to Audit, Paid Certification.
2. Intro to Machine Learning by Udacity (FREE)
This course is one of the top courses of Machine learning that provides theoretical and practical concepts of machine learning. One of the best things about this course is that this course is taught by Sebastian, a man behind self-driving cars.
The course structure and way of representation makes machine learning even more interesting to learn. Along with the concepts of ML, it also provides programming knowledge of Python.
This course is freely available to learn, but no certification will be awarded.
Key Highlights of Course
- The course involves interactive quizzes that enable you to enhance your knowledge of the topics covered.
- Join the student support community to exchange ideas and clarify doubts.
- It has a big community that any student can join to share his ideas and ask a doubtful question.
- Anyone can learn it from anywhere at their convenience.
- Each enrolled student can get a one-on-one mentor, which means personal career coaching is provided along with access to the student community.
3. Machine Learning A-Z: Hands-On Python & R In Data Science (Udemy best course)
Time to complete the Course:
- Approx. 45 Hours
- Level: Beginner
- Pre-requisites:
- Ratings: 4.5/5
- Cost: Paid Course and Certification
Key Highlights of Course
- Great tutorial to get started with the topic with little or no prior experience.
- The Course structure contains different topics that start from Data Preprocessing, Regression, Clustering, Association Rule Learning, Natural Language Processing, Artificial Neural Networks, Dimensionality Reduction, and other important concepts.
- You will get lifetime access to the course once purchased and accessible on mobile & tv.
- A detailed explanation of each topic with theory as well as practical.
- This course is available in both Python and R programming languages. You can also download templates and use them in your ML projects.
4. Machine Learning Crash Course - Google AI
Machine Learning Crash Course is provided by Google AI education, which is a free platform to learn about AI and Machine Learning key concepts. However, this course is the best fit for those who want ML concepts to learn at a fast pace and want to learn the basics of key ML concepts, which may take several hours. But if you are just a beginner without any prior understanding of ML concepts, linear algebra, statistics, etc., then this may little difficult for you to learn this course.
Time to complete the Course
- Approx. 15 Hours
- Pre-requisites: Python Programming knowledge, must be comfortable with linear equations, graphs of functions, histograms, and statistical means.
Cost: Free
Provider: Google AI
The Course structure has topics that start from Machine Learning Basics, and cover Generalization, Training and Test Sets, Representation, Logistic Regression, Classification, neural Networks, Embedding, ML Engineering.
Key highlights, of course.
- Interactive Video lectures with real-world Case studies.
- Visualization of Algorithm in action.
- Lectures on key ML concepts by Google Researchers.
- Covers the basics of ML in the best way and fast pace.
- The course is structured in a straightforward way, which you can learn at your own pace and pre-knowledge.
5. Machine Learning Courses-EdX
EdX is one of the best platforms to learn different courses and technologies hosted by different popular Universities such as Harvard, Columbia, etc., across the globe. You can explore the top courses on Machine Learning, Data Science, AI, and also other technologies. Each technology has Several courses by the world's best institutions. Besides courses, it also provides Online Master's degree program, Micro-Master's Program, etc.
- Cost: Free to audit, Paid certification.
- Provider: EdX platform collaboration with renowned institutions.
- Duration: Approx. 9-12 weeks
Key Highlights of the Course
- One can freely audit the course on Machine learning and also on other technology from renowned institutions.
- Explore the different courses and make a strong and deep understanding of that.
- Video lectures with theory and practical implementations and knowledge check.
- Also, get subtitles for each lecture.
- Course may archive after some time if you don't upgrade it.
6. Introduction to Machine Learning for Coders - Fast.ai
Each course is structured in such a way that it covers all concepts from scratch and focuses on learning by doing. You can choose the course best suited for you as per your level of learning (beginner or experienced). So, if you are serious about getting started in this area, then this will be the easiest way is to select a course from here. "Introduction to machine learning for coders" focuses on the practical implementation of each algorithm from scratch.
Course Highlights
- Each topic is explained in detail with the help of screenshots and examples.
- You will get the complete guide for the configuration of software and getting started with the course.
- It allows you to join the forum, where you can communicate with other learners and professionals and can help each other.
- Models are trained with the fast.ai library.
- One of the great things about this course is that it is available for free, and other courses on this platform are also free.
- Duration: Self-paced
7. Introduction to Machine Learning by Datacamp
Machine Learning Course with R by DataCamp is worth taking for those who are good in R programming language and Statistics.
One important prerequisite for this course is that you need to have knowledge of the R language. The course mainly focuses on providing useful knowledge on different machine learning techniques.
The course involved mainly involved how does machine learning works, where to use ML algorithms, the difference between AI and machine learning, etc. It also involves information about machine learning models, deep learning, etc.
Course Highlights
- Provide information about how machine learning work, Workflow of ML model, different steps to build a model, and also provides a comparison between different ML techniques.
- Content is designed in an interactive way that makes learning simpler and fun.
- Hands-on exercises.
- The basic content of the course is available for free.
8. Machine Learning Specialization by Coursera
Machine learning specialization by Coursera is an advanced level course that helps you in creating solutions for complex problems of practical usage of Machine learning. This course provides you with a certification of course completion after completing the course and programming assignments of this course. This course is structured in such a way that you can get the maximum benefit of learning.
As this is an advanced specialization course, hence it is required that you must have basic or intermediate knowledge of Machine learning, Probability theory, Linear algebra and calculus, and Python programming to enrol and understand this course.
Course Highlights
- This course enables us to resolve various machine learning problems with complex input with the help of modern deep learning.
- This course helps us to participate in various competitions using effective machine learning tools.
- This course helps us to enhance hands-on experiences in Data exploration, preprocessing and feature engineering.
- After completion of this course, you can perform Bayesian inference, understand Bayesian Neural Networks and Variational Autoencoders.
- This course helps you to create agents for games and other environments using reinforcement learning methods.
9. Machine Learning with Python
Machine Learning by Python is one of the great courses for beginners that mainly focuses on the Fundamentals of Machine Learning algorithms. The lectures are represented in a very interesting way that includes slide animations and a great explanation of algorithms.
The course mainly uses Python programming language to do the practical implementation of algorithms. With each topic, you will get a chance to practice the topics that you just learner on your own on Jupyter notebook.
Each notebook will enhance your knowledge and provide you with an understanding that how to use these algorithms with real-world data.
Provider: IBM, Cognitive Class
Price: Free to audit, Paid Certification
Course Highlights
- Covers the fundamental concepts of Machine learning in a very intuitive way.
- The Course contains topics such as Introduction to Machine Learning, Regression, Classification, Clustering, Recommender Systems, and
- There is practical knowledge provided in the course for each algorithm.
- For each algorithm, you will get to know its introduction, pros, cons, and where to use it in real-world situations.
- Suitable for new learners to understand the broader context.
- It will let you understand the purpose of machine learning and where it is being applied in the real world.
10. Python for Data Science and Machine Learning Bootcamp(Udemy)
Python for Data Science and Machine Learning is one of the best top 10 courses of Machine learning. This comprehensive course will show the path to use the Python programming language for analyzing the data, creating visualizations, and powerful ML algorithms.
This course is not only focused on Machine learning concepts but also help you to start your career in the Data Science field.
According to indeed, Data Science job is ranked as number 1 job in Glassdoor ranking with an average salary of $120,000. So if you really want to make a good career start in the field of data science and Machine learning, then this course will be the recommended course.
- Time to complete the Course: Approx. 45 Hours
- Level: Beginner
- Pre-requisites: Basics of Python
- Ratings: 4.7/5
- Cost: Paid Course and Certification
Course Highlights
- Course start with Python crash course, so anyone can easily learn and understand each concept of this course.
- Deep explanation of each concept throughout the complete course.
- You will be provided with written notes that would be very helpful in learning.
- It contains different exercises for practising each concept and also provide a solution to check your knowledge and enhance your confidence.
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