Machine Learning Cheat Sheet 2026 | Infographic

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1. Machine Learning is a sub field of AI, propels into the
next era of AI. The ML Cheat Sheet begins with a
massive growth projection for the future
MACHINE LEARNING
CHEAT SHEET 2026
© 2025. United States Data Science Institute. All Rights Reserved
0
200
400
600
800
1000
1200
1400
1600
1800
2000
70.3 97.2
134.5
186.0
257.2
355.7
491.9
680.3
940.9
1,301.2
1,799.6
Global Machine Learning Market
Size, By Component, 2025-2034 (USD Billion)
ServicesSoftwareHardware
The Market will Grow
At the CAGR of
38.3%
THe Forcated Market
Size for 2034 in USD:
$1,799.6B
Source: Market.US
Supervised Learning
Trains on labeled data;
predicts outcomes
(regression, classification).
Works with unlabeled data;
finds hidden patterns
(clustering, dimensional
reduction).
Learns through
trial-and-error to
maximize rewards
Neural networks
with multiple layers
powering AI tasks like
vision, speech, and NLP.
Reusing pre-trained
models for faster, efficient
problem-solving.
Unsupervised LearningReinforcement Learning Deep Learning Transfer Learning
Model Evaluation Metrics
Representation
How data is structured and
interpreted; determining
the typeof model used,
such as decision trees,
neural networks, etc
decision trees,
neural networks, etc
recall; ensuring model’s
generalization ability
metrics; such as gradient
descent or greedy search
Measures the performance
of a mode using metrics such
as accuracy, precision, recall;
ensuring model’s
generalization ability
Evaluation
Improves the model by
minimizing errors or
maximizing performance
metrics; such as gradient
descent or greedy search
Optimization
Regression
Linear, Logistic,
Ridge, Lasso
Clustering
K-means, DBSCAN, Hierarchical
Dimensional Reduction
PCA, t-SNE, UMAP
Neural Networks
CNNs (vision), RNNs/LSTMs
(sequences), Transformers (NLP)
Classification
Decision Trees, Random Forests,
Gradient Boosting, XGBoost
1
2
3
4
5
Data Collection
Training
Pre-processing
Validation
Monitoring
Model Selection
Deployment
Regression – MSE, RMSE, R².
Classification – Accuracy, Precision, Recall, F1-Score, ROC-AUC.
Clustering – Silhouette Score, Davies–Bouldin Index.
Python LibrariesMLOps Platforms Data Tools
Scikit-learn, TensorFlow,
PyTorch, XGBoost
MLflow, Kuberflow,
Weights & Biases
Pandas, NumPy,
Apache Spark
AI Agents with Autonomous
ML Pipelines
Generative AI for
Data Augmentation
Ethical and Explainable
AI Adoption
Low code/No code
ML Democratization
© 2025. United States Data Science Institute. All Rights Reserved
© 2025. United States Data Science Institute. All Rights Reserved
© 2025. United States Data Science Institute. All Rights Reserved
© 2025. United States Data Science Institute. All Rights Reserved
© 2025. United States Data Science Institute. All Rights Reserved
© 2025. United States Data Science Institute. All Rights Reserved
© 2025. United States Data Science Institute. All Rights Reserved
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Machine Learning Workflow
Tools & Frameworks- 2026 Pick
Trends to Watch in 2026
Must-Know Algorithms
2026 Essentials
Machine Learning Principle
Machine Learning Basics