Do We Need to Learn Machine Learning / Deep Learning Anymore | Can AI Do the Model Now?

In an era where artificial intelligence rapidly evolves, many question if learning machine learning (ML) and deep learning (DL) are still necessary. With AI technologies advancing, automated tools now assist in model development, making it easier for non-experts to implement complex algorithms. However, understanding the fundamentals of ML and DL remains crucial for innovation and problem-solving. Knowledge of these fields enables individuals to create custom models, optimize performance, and interpret results effectively. As AI systems become more autonomous, the demand for skilled professionals who can build and manage these systems persists. By mastering ML and DL, you not only stay relevant but also gain the ability to leverage AI tools more strategically. Exploring this dynamic field opens doors to new opportunities and ensures you remain at the forefront of technological advancements. Discover why learning ML and DL is vital, even as AI simplifies model creation.

[@anis.ldx1]

Your videos are truly remarquable. I’ve been also amazed by your simple explanations and tutorials. Do you offer mentorship for people wanting to learn more about data science or online sessions as a service?
If so it would be great to get more informations.
Keep up the good work!

[@shakilmahmud7972]

Thank you...