Introduction

Question 1

Explain differences between machine learning
with tabular data and deep learning

Answer 1

Machine learning with tabular data focuses on structured data with significant manual feature engineering, often leading to more interpretable models.
Deep learning excels with unstructured data, leveraging neural networks’ ability to learn complex patterns, but at the cost of higher computational resources and reduced interpretability.

Question 2

Applications of deep learning

Answer 2

• Sentiment Analysis
• Image Classification
• Text predictions
• Predictive text
• Chat GPT