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PhD - Coggle Diagram
PhD
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Section 1 - Mathematics (7 Days, 20 Questions)
Day 1-2: Linear Algebra (Matrices, Determinants, Eigenvalues, Eigenvectors, Vector Spaces)
Day 3-4: Discrete Structures (Propositional & Predicate Logic, Proof Techniques, Graph Theory, Set Theory)
Day 5: Calculus & Analytic Geometry (Differentiation, Integration, Maxima/Minima, Planes in 3D)
Day 6-7: Numerical Computing (Root-Finding Methods, Interpolation, Numerical Integration)
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Section 2 - Computer Programming (8 Days, 30 Questions)
Day 8-9: Data Structures (Stacks, Queues, Trees, Graphs, Sorting, Searching)
Day 10-11: Design & Analysis of Algorithms (Recursion, Complexity, Dynamic Programming)
Day 12-13: Object-Oriented Programming (Classes, Inheritance, Polymorphism, Function Overloading)
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Section 3 - Machine Learning & AI (10 Days, 25 Questions - Module A)
Day 16: AI Fundamentals (Search Algorithms: A*, BFS, DFS, Min-max, Alpha-beta Pruning)
Day 17-18: Supervised Learning (Regression, Decision Trees, SVMs, Random Forests, Boosting)
Day 19-20: Unsupervised Learning (K-means, DBSCAN, Gaussian Mixture Models)
Day 21-22: Deep Learning (Neural Networks, Backpropagation, CNNs, RNNs, Optimization Algorithms)
Day 23: Model Evaluation (Bias-Variance Tradeoff, Overfitting, Performance Metrics, Grid Search)
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