├── Artificial-Intelligence-Readme.md ├── Calculus-and-Optimization-Readme.md ├── Data ├── Artificial-Intelligence │ ├── AI_Cheat_Sheet.png │ ├── All_cheat_sheet.pdf │ ├── handout1.pdf │ ├── handout2.pdf │ ├── handout3.pdf │ ├── handout4.pdf │ └── index ├── Calculus-and-Optimization │ ├── Calculus.png │ ├── calculus_cheat_sheet_all.pdf │ └── index ├── Database-Management │ └── index ├── Interview │ └── MLOPs │ │ └── mlops_page-0001.jpg ├── Linear-Algebra │ ├── Linear_Algebra_cheet_sheet.png │ ├── index │ └── refresher-algebra-calculus.pdf ├── Machine-Learning │ ├── Machine_Learning_Cheatsheet.png │ ├── Machine_Learning_Cheatsheet_Index.png │ ├── final2017_solutions.pdf │ ├── final2018.pdf │ ├── final2018_solutions.pdf │ ├── final2019.pdf │ ├── final2019_solutions.pdf │ ├── final2022.pdf │ ├── index │ ├── inductive_bias_multiple_hypothesis_functions.png │ ├── main_notes.pdf │ ├── midterm2018_solutions.pdf │ ├── midterm2019_solutions.pdf │ ├── midterm2022_solutions.pdf │ ├── python-practice-problems │ │ └── regression │ │ │ ├── Regression_Solutions.ipynb │ │ │ ├── Regression_Unsolved.ipynb │ │ │ ├── regression_readme.md │ │ │ └── salary_pred_data1.csv │ └── super-cheatsheet-machine-learning.pdf └── Probability-Statistics │ ├── index │ ├── probability_cheatsheet.pdf │ └── stat_cheatsheet.png ├── Database-Management-Readme.md ├── Interview ├── MLOPs.md └── ML_Fundamentals.md ├── LICENSE ├── Linear-Algebra-Readme.md ├── Machine-Learning-Readme.md ├── Probability-Statistics-Readme.md ├── Programming-and-Algorithms-Readme.md ├── README.md └── Topic_Resources ├── Books └── A-First-Course-in-Probability.pdf ├── Conditional_Probability.md ├── Inductive_Bias.md ├── PDFs ├── convex-1.pdf ├── gaussians.pdf └── prob.pdf └── Probability_Distributions.md /Artificial-Intelligence-Readme.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/DS-AI-GATE/dsai-gate/HEAD/Artificial-Intelligence-Readme.md 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