Top 7 Machine Learning Courses in 2023
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Machine learning has been one of the fastest-growing fields in recent years, with a constant demand for professionals who can build and deploy intelligent systems. If you’re looking to learn the skills needed to become a machine learning expert, taking a course is an excellent place to start. With so many options available, choosing the right course can be a challenge. In this blog post, we’ve rounded up the best seven machine learning courses that you can take in 2023. Whether you’re a beginner looking to get started or an experienced practitioner looking to upgrade your skills, there’s something for everyone on this list. We’ll dive into each course’s content, structure, prerequisites, and cost to help you make an informed decision. So, without further ado, let’s get started!
Best 7 Machine Learning Courses in 2023:
1. Machine Learning — Coursera
2. Deep Learning Specialization — Coursera
3. Machine Learning Crash Course — Google AI
4. Machine Learning with Python — Coursera
5. Advanced Machine Learning Specialization — Coursera*
6. Introduction to Machine Learning for Coders — Fast.ai
7. Machine Learning — EdX
1. Machine Learning — Coursera
Machine Learning — Coursera course, taught and created by Andrew Ng, a Stanford professor and a prominent figure in the field, is the benchmark against which other courses are measured. Despite using Octave, an open-source programming language, for assignments instead of Python or R, it is a great resource for beginners who want to learn the fundamentals of ML. Ng presents the course material in an easy-to-understand manner, with a well-rounded coverage of various topics, and provides a thorough explanation of the math behind each algorithm, including calculus and linear algebra. Although the course is self-contained, prior knowledge of linear algebra would be beneficial.
Cost: Free to audit, $79 for the certificate (you can apply for financial aid if it is approved then you can earn the certificate without any cost.)
Course structure:
Linear Regression with One Variable
