Best Machine Learning Courses in 2022

In Machine Learning, we use data and algorithms to build intelligent systems. There are a lot of free resources on the internet you can follow to learn Machine Learning. But some people like to learn from courses to learn everything step by step. So if you are looking for the best Machine Learning courses you can choose from, this article is for you. In this article, I will take you through some of the best Machine Learning courses you can choose from in 2022.

Best Machine Learning Courses in 2022

Machine Learning Specialization

Machine Learning Specialization is a foundational program available on Coursera. It is offered at Coursera by DeepLearning.AI in collaboration with Stanford Online. This course will teach you the fundamentals of Machine Learning and how to use Machine Learning in real-world applications. In this course, you will learn:

1. building Machine Learning models
2. building and training neural networks
3. applying the best Machine Learning practices
4. building recommendation systems using collaborative filtering and content-based filtering

You can find more details about this Machine Learning course here.

Machine Learning Crash Course

Machine Learning Crash Course is a free course on Machine Learning created by Google Developers. This course is perfect for you if you are a complete beginner in Machine Learning or someone who is preparing for an interview based on Machine Learning. In this course, you will get:

1. 30+ exercises
2. 25 lessons
3. 15 hours of content
4. lectures from Google researchers
5. real-world case studies
6. and interactive visualizations

You can find more details about this Machine Learning crash course here.

Summary

So these are some of the best Machine Learning courses you can choose from in 2022. Both the Machine Learning courses mentioned in this article are worth your time and will help you learn everything in Machine Learning step-by-step. I hope you liked this article on the best Machine Learning courses in 2022. Feel free to ask valuable questions in the comments section below.