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, “What do you want to do?” 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 “Will Purchase” or “Will Not Purchase”. Thus you are trying to predict between two categories. Here is how you work through the diagram.

  1. Start at “What do you want to do?”
  2. Follow the thin blue line labeled “Predict between two categories”
  3. Arrive at the Two-Class Classification box
  4. Choose from the algorithms in the box

Helpful, don’t you think?

Top 8 Machine Learning algorithms that are shaping the future of AI

machine learning algorithms

1️⃣ Linear Regression: A fundamental algorithm for regression tasks, modeling relationships between variables.

2️⃣ Logistic Regression: Key for binary classification problems, predicting outcomes between two classes.

3️⃣ Decision Trees: Versatile, interpretable, and efficient for both classification and regression tasks.

4️⃣ Random Forest: An ensemble of decision trees, robust for various tasks due to its high accuracy and resilience to overfitting.

5️⃣ Support Vector Machines (SVM): Great for classification, separating data points in multidimensional space.

6️⃣ K-Nearest Neighbors (KNN): Simple yet effective for both classification and regression by using nearby data points.

7️⃣ Clustering Algorithms (e.g., K-means): Essential for unsupervised learning, grouping data into clusters based on similarities.

8️⃣ 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! 🌐 Let’s keep pushing boundaries together! 💡