#54 Machine Learning & Data Science Challenge 54
Greetings.
I am a machine learning engineer based in India, possessing a sustained interest in machine learning since my undergraduate studies. I have completed Stanford University's machine learning course (Andrew Ng) via Coursera, and IBM's machine learning and deep learning curriculum. My current focus is on machine learning and data science projects, aiming to leverage my expertise for impactful, real-world problem-solving.
Why deep learning is better than machine learning?
Though traditional ML algorithms solve a lot of our cases, they are not useful while working with high-dimensional data which is where we have a large number of inputs and outputs.
For example, in the case of handwriting recognition, we have a large amount of input where we will have different types of inputs associated with different types of handwriting.
- The second major challenge is to tell the computer what features it should look for that will play an important role in predicting the outcome as well as achieving better accuracy while doing so.
