How to learn machine learning?

How to learn machine learning?

If you want to learn machine learning, there are a few steps you can follow:

1. Start by gaining a solid understanding of the basics of computer science and programming, including concepts such as algorithms, data structures, and the programming languages Python or R.

2. Next, read up on the fundamental concepts of machine learning, such as supervised and unsupervised learning, regression and classification, and neural networks.

3. As you learn more about the theoretical foundations of machine learning, it's also important to get some hands-on experience by working on practical projects. You can find many open-source datasets online, and use them to build and train your own machine learning models.

4. Finally, consider taking online courses or enrolling in a formal program to deepen your knowledge of machine learning and gain valuable experience in the field. Coursera, edX, and Udacity all offer excellent courses in machine learning that can help you get started.

Overall, learning machine learning requires a combination of theoretical knowledge and practical experience. By following the steps outlined above and continuing to learn and practice regularly, you can become proficient in machine learning.

 

作者:Chuck Lu    GitHub