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FR📍Day 10: Top 10 Machine Learning Algorithms for ML Engineers ⬇️ Save it for Later👇
1. Machine learning engineers need to use a diverse array of algorithms to solve problems and extract insights from data.
2. Each algorithm has its strengths and is suited to specific types of tasks. Knowing which algorithms to choose and how to apply them to real data is a crucial skill.
3. Most commonly, you will use these algorithms:
- Linear regression
- Logistic regression
- Decision trees
- Random forest
- Support vector machines (SVM)
- K-nearest neighbors
- K-means clustering
- Gradient boosting machines (GBM)
- Neural networks/deep learning
- Principal component analysis (PCA)
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