I am new to neural networks and machine learning in general. I find it quite challenging and a bit difficult to fully understand the mathematical aspects of the algorithms. Are there any tricks or tips to solidify my knowledge and better comprehend the mathematical aspects of these algorithms?

Hi @Fatomk11295

It’s perfectly normal to find the mathematical aspects of machine learning challenging, especially if you’re new to the field. Understanding the underlying mathematics can be a key to mastering these concepts, but it can take time and effort.

My tip for you is, start with the basics and gradually build your mathematical knowledge. Learning math can be like solving puzzles, and with practice, you’ll become more comfortable with the math behind machine learning and neural networks.

Also, there is a mathematics for machine learning specialization course available on the platform:

Keep learning! One step at a time is the key.

Thank you. Would you recommend going in parallel or finishing the neural network course and then working on the mathematics course to better focus on each concept?

You could take the courses in parallel but slow down on the neural network course while trying to understand the algebra in the mathematics course.

I use this roadmap to track my learning and organize the materials related to the data science field.

Thank you both for your help