I'm not struggling with the theories and the use case. I just don't really know how to code but I understand the purpose of most part of a code when I check through it but to create a fully fledged code of mine from scratch is my really big problem
@ChemCoder4042 ай бұрын
Thank you for watching! I would recommend breaking it down to tasks. Starting with data preparation, look for what features you want the models to be trained on. If you need to clean the dataset, read up on how people do it. I find that breaking down tasks to sub tasks help a lot! And lastly, practice practice practice. Never give up!
@OluwajuwonloOWOJORI2 ай бұрын
I think I should work on that.
@ChemCoder4042 ай бұрын
Believe me, you will get better!
@Michel-gv1srАй бұрын
Its hard because most people dont undetstand mathematics.
@mahiaravaaravaАй бұрын
Machine learning is literally a struggle to learn because it involves mastering complex mathematical concepts, dealing with vast amounts of data, and staying updated with rapidly evolving technologies. The steep learning curve, combined with the need for hands-on experience and problem-solving skills, can make the journey challenging yet rewarding.
@ChemCoder404Ай бұрын
Yes indeed! It’s a long journey.
@mohammedbazmul74022 ай бұрын
I really needed this type of video, thank you
@ChemCoder4042 ай бұрын
Thank you for watching. Glad I could help!
@annahqt2 ай бұрын
The math :( I actually did very well in calculus courses in college and enjoyed calc but I find I have this internal panic when I try to get back into math after feeling like I was bad at math for YEARS during childhood and primary education. I love coding and have a PhD in evolutionary bio so have done a lot of work with large data sets and analyses in R/python and feel comfortable with many aspects but I freeze when getting into the hardcore maths behind it all. Do you have any suggestions for accessible courses/texts?
@ChemCoder4042 ай бұрын
I would look at "Essential Math for ML" to start with and then go for something like "Fundamental Mathematics for ML in Science". I think you raise a great point about math in ML.