Hi everyone,
I’m new to the world of data and AI, and I recently came across the Machine Learning Tutorial. It looks like a great starting point, but I’d love some advice from others who’ve gone through the learning process.
What are some of the first concepts I should focus on to really understand how machine learning works? Should I start with Python, linear algebra, or basic algorithms first?
Also, how useful did you find the hands-on projects or practical sessions in the tutorial? I learn better by doing, so I’m hoping the course includes plenty of real-world applications.
Lastly, how long did it take you to feel confident in using machine learning tools like scikit-learn or TensorFlow?
Thanks in advance for your help. I’m excited to dive deeper, and I believe a well-structured Machine Learning Tutorial like this one can really make a difference for beginners like me.
Best,
Darcie