# Machine Learning >[!Abstract] When [[self.stats/Statistics]] is Applied with the use of Technology it becomes [[Machine Learning]] :) >[!Links] ML Fundamentals >- [[Linear Algebra]] >- [[Bias-Variance Trade-off]] >[!Cite] ML Concepts >- [[self.stats/Dimensionality Reduction]] >- [[Principal Component Analysis]] >- [[End-to-End ML Workflow]] >[!Cite] Model Development >- [[Model Training]] >- [[Evaluation Metrics]] >[!Abstract] Type of ML Models >- [[Linear Regression]] >- [[Classification]] >- [[Logistic Regression]] >- [[Support Vector Machines]] >- [[Decision Trees]] >- [[Cluster Analysis]] >- [[Gaussian Mixture Models]] >- [[Neural Networks]] >- [[Reinforcement Learning]] >- [[Support Vector Machines (SVM)]] >- [[Transformers]] >- [[Sequence to Sequence Models]] >[!Note] ML Applications >[[Machine Learning Applications]]