Feb 11
Misc Plots: Ref: https://www.wolframalpha.com/ ***. ***. *** Note: Older short-notes from this site are posted on Medium: https://medium.com/@SayedAhmedCanada *** . *** *** . *** . *** . *** Sayed Ahmed BSc. Eng. in Comp. Sc. & Eng. (BUET) MSc. in Comp. Sc. (U of Manitoba, Canada) MSc. in Data Science and Analytics (Ryerson University, Canada) …
Feb 11
Ref: https://www.wolframalpha.com/ —- Note: Older short-notes from this site are posted on Medium: https://medium.com/@SayedAhmedCanada *** . *** *** . *** . *** . *** Sayed Ahmed BSc. Eng. in Comp. Sc. & Eng. (BUET) MSc. in Comp. Sc. (U of Manitoba, Canada) MSc. in Data Science and Analytics (Ryerson University, Canada) Linkedin: https://ca.linkedin.com/in/sayedjustetc Blog: http://Bangla.SaLearningSchool.com, …
Feb 10
Euclidean Norm of a Matrix Ref: http://mathworld.wolfram.com/FrobeniusNorm.html ***. ***. *** Note: Older short-notes from this site are posted on Medium: https://medium.com/@SayedAhmedCanada *** . *** *** . *** . *** . *** Sayed Ahmed BSc. Eng. in Comp. Sc. & Eng. (BUET) MSc. in Comp. Sc. (U of Manitoba, Canada) MSc. in Data Science and Analytics …
Feb 09
"Model–based clustering assumes that the data were generated by a model and tries to recover the original model from the data. The model that we recover from the data then defines clusters and an assignment of documents to clusters. A commonly used criterion for estimating the model parameters is maximum likelihood.nlp.stanford.edu › IR-book › html …
Feb 09
L0 Norm, L1 Norm, L2 Norm & L-Infinity Norm https://medium.com/@montjoile/l0-norm-l1-norm-l2-norm-l-infinity-norm-7a7d18a4f40c *** Iterative Solutions of Linear Systems https://www.math.uh.edu/~jingqiu/math4364/iterative_linear_system.pdf *** How statistical Norms improve modeling https://towardsdatascience.com/norms-penalties-and-multitask-learning-2f1db5f97c1f Project Example: Optimization: http://www.cs.cmu.edu/~aarti/Class/10725_Fall17/past_projects.html https://web.stanford.edu/class/ee392o/#projects https://ece.uwaterloo.ca/~ece602/Projects/2017/Project21/main.html Area and Project Example: http://www.ece.tufts.edu/ee/194CO/project_14.pdf Sensor and Optimization: Could be a good read. http://homepages.rpi.edu/~mitchj/phdtheses/daryn/ramsdd.pdf ***. ***. *** Note: Older short-notes from this site are posted …
Feb 07
What is a Classification Tree: www.solver.com › classification-tree Classification Tree | solver A Classification tree labels, records, and assigns variables to discrete classes. A Classification tree can also provide a measure of confidence that the classification is correct. A Classification tree is built through a process known as binary recursive partitioning. Pros and Cons of …
Feb 06
KL Divergence in Picture and Examples “Kullback–Leibler divergence is the difference between the Cross Entropy H for PQ and the true Entropy H for P.” [1] “And this is what we use as a loss function while training Neural Networks. When we have an image classification problem, the training data and corresponding correct labels represent …
Feb 06
Cross Validation: ” en.wikipedia.org Cross–validation is a resampling procedure used to evaluate machine learning models on a limited data sample. The procedure has a single parameter called k that refers to the number of groups that a given data sample is to be split into. As such, the procedure is often called k-fold cross–validation.May 23, …
Feb 06
Feature Selection " Filter Methods Wrapper Methods Embedded Methods Feature Selection Checklist Do you have domain knowledge? Are your features commensurate? Do you suspect interdependence of features? If "Weka: “Feature Selection to Improve Accuracy and Decrease Training Time“. Scikit-Learn: “Feature Selection in Python with Scikit-Learn“. R: “Feature Selection with the Caret R Package“" " Reference …
Feb 04
"Linear programming (LP, also called linear optimization) is a method to achieve the best outcome (such as maximum profit or lowest cost) in a mathematical model whose requirements are represented by linear relationships. en.wikipedia.org › wiki › Linear_programming Linear programming – Wikipedia " "Branch and bound (BB, B&B, or BnB) is an algorithm design paradigm …
