Gaussian elimination, LU Factorization, subspaces, eigenvalues and eigenvectors, SVD, PCA, and other applications.
Read MoreConditional probability, expectation, variance, joint probability, MLE and CLT, hypothesis testings, and distributions.
Read MoreLLN, CLT, confidence interval, moment generating functions, and so on. [Still not finish]
Read MoreSLR estimaters and bias, MLR estimaters and bias, ANOVA (Type 1/2/3), model diagonsis and selection, logistic regression.
Read MoreStationary condition, ARMA models, ARIMA models, partial autocorrelation, exponential smoothing techniques, and Prophet.
Read MoreData types, common charts, design principles, basic Matplotlib and Pandas, Stephen Few’s Rules for Color.
Read MoreData pipeline, text processing, TFIDF, computer networks basics, AWS, cookies, APIs, and Selenium.
Read MoreRidge regression, LASSO regression, naive bayes, decision tree, random forest, clustering, and basic pyTorch.
Read MoreRecommender system, backpropagation, neural network, AdaBoosting, gradient boosting, and basic NLP.
Read MorePostgreSQL, CRUD, JOIN, indexing, window function, database transaction, and schema refinement.
Read MoreApache Spark, Spark operations, Spark RDD and paired RDD, Spark SQL, and Spark MLlib.
Read MorePython, list comprehensions, set, dictionary, counter, string operations, OS/SYS modules, copies.
Read MoreJava, data types, loops, input and output, functions and libraries, object oriented programming.
Read MoreSorting algorithms, walking algorighms, searching algorithms, graph algorithms.
Read MoreMulti-process, multi-threads, mutual exclusion, condition variables, EDM, IPC, sync, I/O devices, and RPC.
Read MoreRISC assembly, branch prediction, data dependency, Tomasulo's algo, memory ordering, cache and LRU, coherence and consistency.
Read MoreIDE, VCS, OOP, UML, Android development, requirement engineering, design patterns, black/white-box testing.
Read MoreGDB, PWN, ida, shellcode, stack overflow, and so on. [Still not finish]
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