First of all, great sharing. I agree with this point. I can relate to that by experiencing that myself. The following is my personal experience.
I am a software engineer by trade and have been working on software development projects for various customers in the past 13 years. I have an undergraduate degree and some general background in maths, computer science and information technology. So, I am not a researcher (scientist) or someone with strong academic background. Furthermore, I don’t have a Master or PhD.
The field of machine learning is theory-dense. It’s dense because there is a tradition to describe and explain concepts mathematically. This is useful because mathematical descriptions can be very concise, cutting down on the ambiguity. We should not get intimidated by all the math equations and formulas. I couldn’t say it better than Jeremy and Rachel, the co-founders of fast.ai.
So, I didn’t let that stopping me from studying machine learning independently for the past 2 years. I have been really enjoying fast.ai course. fast.ai approach is very good, as their approach do not drown students in math.