Machine Learning Algorithm Cheat sheet
The Azure Machine Learning Algorithm Cheat Sheet helps you choose the right algorithm from the designer for a predictive analytics model.
Azure Machine Learning has a large library of algorithms from the classification, recommender systems, clustering, anomaly detection, regression, and text analytics families. Each is designed to address a different type of machine learning problem.
Download: Machine Learning Algorithm Cheat Sheet
Start in the large blue box, āWhat do you want to do?ā Then follow the lines out to match what you would like to solve. For example, maybe you have some data and you want to predict whether a customer will purchase or not. You want to predict āWill Purchaseā or āWill Not Purchaseā. Thus you are trying to predict between two categories. Here is how you work through the diagram.
- Start at āWhat do you want to do?ā
- Follow the thin blue line labeled āPredict between two categoriesā
- Arrive at the Two-Class Classification box
- Choose from the algorithms in the box
Helpful, donāt you think?
Top 8 Machine Learning algorithms that are shaping the future of AI
1ļøā£ Linear Regression: A fundamental algorithm for regression tasks, modeling relationships between variables.
2ļøā£ Logistic Regression: Key for binary classification problems, predicting outcomes between two classes.
3ļøā£ Decision Trees: Versatile, interpretable, and efficient for both classification and regression tasks.
4ļøā£ Random Forest: An ensemble of decision trees, robust for various tasks due to its high accuracy and resilience to overfitting.
5ļøā£ Support Vector Machines (SVM): Great for classification, separating data points in multidimensional space.
6ļøā£ K-Nearest Neighbors (KNN): Simple yet effective for both classification and regression by using nearby data points.
7ļøā£ Clustering Algorithms (e.g., K-means): Essential for unsupervised learning, grouping data into clusters based on similarities.
8ļøā£ Neural Networks (Deep Learning): Complex models mimicking the human brain, excelling in intricate tasks like image and speech recognition.
Understanding these algorithms is crucial for anyone diving into the ML world! š Let’s keep pushing boundaries together! š”