Unsupervised learning Samenvattingen, Aantekeningen en Examens

ISYE-6501 Exam 1 QUESTIONS & CORRECT ANSWERS Algorithm - ANSWER a step-by-step procedure designed to carry out a task Change Detection - ANSWER Identifying when a significant change has taken place Classification - ANSWER Separation of data into two or more categories Classifier - ANSWER A boundary that separates data into two or more categories Cluster - ANSWER A group of points that are identified as being similar or near each other Cluster Center - ANSWER In some clustering ...

ISYE 6501 Final Questions and Answers Already Passed Support Vector Machine A supervised learning, classification model. Uses extremes, or identified points in the data from which margin vectors are placed against. The hyperplane between these vectors is the classifier SVM Pros/Cons Pros: It works really well with a clear margin of separation It is effective in high dimensional spaces. It is effective in cases where the number of dimensions is greater than the number of samples. It uses a subse...

Which statement about the data mining process is INCORRECT? - correct answer Data cleaning and pre-processing is usually a trivial step in the process Which statement is FALSE about the data-driven decision-making approach? - correct answer It is loaded with assumptions and theories What is the essential element in the machine learning algorithms that distinguish supervised from unsupervised learning? - correct answer In the supervised learning models target variable is used in the m...

What is Data Science? Also, list the differences between supervised and unsupervised learning. - ANS>Data Science is a blend of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw data. How is this different from what statisticians have been doing for years? " What are the important skills to have in Python with regard to data analysis? - ANS>The following are some of the important skills to possess which will come handy...

Alleollege aantekeningen Computational Analysis of Digital Communication (S_CADC)

ISYE-6501 Exam 1 QUESTIONS & CORRECT ANSWERS Algorithm - ANSWER a step-by-step procedure designed to carry out a task Change Detection - ANSWER Identifying when a significant change has taken place Classification - ANSWER Separation of data into two or more categories Classifier - ANSWER A boundary that separates data into two or more categories Cluster - ANSWER A group of points that are identified as being similar or near each other Cluster Center - ANSWER In some clustering ...

Machine Learning Exam 1 Questions and complete Answers What types of problems is ML good for? Supervised Learning Unsupervised Learning Semi-supervised learning Batch learning Reasons for lower learning rate Instance-base learning Model-based learning Types of Bad Data Sampling noise sampling bias Poor Quality Data attributes Feature engineering Underfitting Testing set validating set Cross-validation No Free Lunch Theorem 8 Steps of a...

big data - Answer-Sets of data that are too large to be gathered and analyzed by traditional methods. law of large numbers - Answer-A mathematical principle stating that as the number of similar but independent exposure units increases, the relative accuracy of predictions about future outcomes (losses) also increases. data mining - Answer-The analysis of large amounts of data to find new relationships and patterns that will assist in developing business solutions. text mining - Answer-Obt...

ISYE-6501 Exam 1 QUESTIONS & CORRECT ANSWERS Algorithm - ANSWER a step-by-step procedure designed to carry out a task Change Detection - ANSWER Identifying when a significant change has taken place Classification - ANSWER Separation of data into two or more categories Classifier - ANSWER A boundary that separates data into two or more categories Cluster - ANSWER A group of points that are identified as being similar or near each other Cluster Center - ANSWER In some clustering ...

What is machine learning correct answers the science of programming computers so they can learn from data without given instructions Model training correct answers Have the machine find a seperation between classes Model Validation correct answers Have the machine recognize previously unseen samples (different from the data given) supervised learning correct answers learning rules that describe input/output relationship 2 forms: regression classification Unsupervised learning co...