Matrix & Matrix Operations Scalars, Vectors, Tensors Singular Value Decomposition Determinants, inverse of Matrix Eigenvalues, Diagonalization Deep Learning Architectures What is Supervised Learning? What is Model Evaluation? ML Engineer vs AI Engineer Skills and Responsibilities Types of Machine Learning K-Nearest Neighbors (KNN) Recurrent Neural Networks Generative Adversarial Networks Principal Component Analysis Gradient, Jacobian, Hessian What is Machine Learning? Find the detailed version of this roadmap along with other similar roadmaps
Derivatives, Partial Derivatives Object Oriented Programming Functions, Builtin Functions Feature Scaling & Normalization What is Unsupervised Learning? Decision Trees, Random Forest ElasticNet Regularization Gradient Boosting Machines What is Reinforcement Learning? Neural Network (NN) Basics Perceptron, Multi-layer Perceptrons Convolutional Neural Network Image & Video Recognition Natural Language Processing Also visit the following related roadmaps
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