Machine Learning Models Make Sense When You See What Deep Learning Replaced

1. 1Review traditional machine learning models like logistic regression, SVM, and random forests
2. 2Compare their performance with deep learning models
3. 3Analyze the limitations of traditional models that led to the rise of deep learning
4. 4Explore the applications of deep learning models in various industries
5. 5Evaluate the trade-offs between traditional and deep learning models for specific problems

Data scientists and machine learning engineers can benefit from understanding the history and development of AI models to improve their work and make informed decisions

💡 Deep learning models have revolutionized the field of AI, but understanding the strengths and weaknesses of traditional models is crucial for making informed decisions

🤖 Deep learning replaced traditional ML models like logistic regression & SVM. But what did we gain & lose in the process?