AI & ML and Staff AI Engineer handbooks
Concepts, visual explanations, worked mathematics, code and engineering decisions.
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Staff AI Engineer
Preview edition
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AI & ML Topic Library
Preview edition
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Statistics & Probability
Preview edition
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Statistical Inference
Preview edition
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Vectors & Linear Transformations
Preview edition
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Eigenvalues & Singular Value Decomposition
Preview edition
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Derivatives & Computational Graphs
Preview edition
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Gradient Descent & Optimization
Preview edition
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Linear Regression
Preview edition
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Polynomial Models, Ridge & Lasso
Preview edition
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Logistic Regression
Preview edition
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KNN Handbook
Preview edition
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Support Vector Machines & Naive Bayes
Preview edition
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Decision Trees & Random Forests
Preview edition
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Bagging & Gradient Boosting
Preview edition
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XGBoost, LightGBM & CatBoost
Preview edition
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Feature Engineering & Pipelines
Preview edition
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Tuning & Cross-Validation
Preview edition
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Evaluation & Imbalanced Learning
Preview edition
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Housing Price Prediction
Preview edition
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Customer Churn Prediction
Preview edition
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Fraud Detection Study
Preview edition
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K-Means Clustering
Preview edition
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Hierarchical Clustering
Preview edition
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DBSCAN
Preview edition
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Principal Component Analysis
Preview edition
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Anomaly Detection
Preview edition
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Customer Segmentation Project
Preview edition
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Recommendation Systems
Preview edition
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Neural Networks
Preview edition
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CNN Mechanics & Architectures
Preview edition
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Computer Vision Systems
Preview edition