I’m seeking a comprehensive machine learning course that covers both theory and practical problem-solving using Python, starting from the basics of ML. Could anyone recommend the top ML course they’ve found online? While I recognize the wealth of information available on the Internet, I value insights from experienced individuals who have navigated these resources themselves.
For me, all my online courses I do them on Udemy.
You may also want to consider it for your case because Udemy has a comprehensive Machine Learning online course that serves as a gateway to mastering the field, focusing on the transformative skills for the digital era
The greatest, in my opinion, is Andrew Ng’s course, which you can watch for free on YouTube.
Hello, you can consider perusing through coursera.com
You can checkout here:
Best Machine Learning Courses Online with Certificates [2024] | Coursera
Hello Faithjones, the finest ML course is Andrew Ng’s, which is freely available on YouTube.
Here are some top-notch machine learning courses available online:
- Skillpro’s Machine Learning course by Juan Galvan at skillpro.io
- Andrew Ng’s Machine Learning course on Coursera at coursera.org
- Practical Deep Learning for Coders by Fast.ai at course.fast.ai
- Introduction to Artificial Intelligence (AI) on edX at edx.org
- CS229: Machine Learning course from Stanford University at cs229.stanford.edu
- Google’s Machine Learning Crash Course at developers.google.com
The best course depends on your learning style and background. Some prefer video lectures, others interactive exercises or written explanations. Trying out a few courses could help you find the most suitable one.
Take the fastAI or deeplearning.ai courses, or any other course that interests you. For a quick overview, you can Google the “Little book of deep learning,” which is free and gives a great summary of standard deep learning models.
Understanding the basics will help you a lot.
Many AI teams struggle because their data scientists lack software engineering skills and knowledge of cloud infrastructure. They often write code that only works in Jupyter notebooks and can’t be used in production (I’ve been there). In industry, the challenge is rarely about math and machine learning knowledge