Machine learning midterm - Study guides, Class notes & Summaries

BA 304 Midterm Exam | Questions with Verified Answers Which of the following is the correct definition of algorithms? mathematical formulas placed in software that performs an analysis on a dataset Select all of the following that represent forms of structured data. (Check all that apply.) - sensor data - web log data - clickstream data - point-of-sale data Select the four common characteristics of big data along with the correct definition. (Check all that apply.) - variety—represents diffe...

Cog Sci 1B Midterm Exam 2024 Q&A Verified 6 Disciplines of Cog Sci - CORRECT ANSWER-Psychology, Philosophy, Linguistics, Anthropology, Artificial Intelligence, and Neuroscience Spatial Resolution - CORRECT ANSWER-The scale on which it can give precise measurement, basically if it can measure really small things (neurons) or large (lobes) Temporal Resolution - CORRECT ANSWER-The scale on which time intervals the machine is sensitive Western Psychology Weird acronoym - CORRECT ANSWER-W...

COGSCI 1B Midterm Fall 2024 Questions and Answers Strong AI - CORRECT ANSWER-AI formulation: machine w/ AGI, just as smart as humans in every way Applied AGI - CORRECT ANSWER-AI formulation: ML allows -> machines to master "expert systems", driving cars etc. Why AI boom (early 21st century) - CORRECT ANSWER-New computing power + available large data sets Expert systems - CORRECT ANSWER-Machines that replicate/ improve human experts specialized domains (slide 8 for examples) P...

CS434 Machine Learning and Data Mining Midterm

(LU) ENGI 307 Data Analysis & Machine Learning - Midterm Exam Review .(LU) ENGI 307 Data Analysis & Machine Learning - Midterm Exam Review .(LU) ENGI 307 Data Analysis & Machine Learning - Midterm Exam Review .(LU) ENGI 307 Data Analysis & Machine Learning - Midterm Exam Review .

Cog Sci 1B Midterm Exam 2024 Q&A Verified 6 Disciplines of Cog Sci - CORRECT ANSWER-Psychology, Philosophy, Linguistics, Anthropology, Artificial Intelligence, and Neuroscience Spatial Resolution - CORRECT ANSWER-The scale on which it can give precise measurement, basically if it can measure really small things (neurons) or large (lobes) Temporal Resolution - CORRECT ANSWER-The scale on which time intervals the machine is sensitive Western Psychology Weird acronoym - CORRECT ANSWER-W...

COGSCI 1B Midterm Fall 2024 Questions and Answers Strong AI - CORRECT ANSWER-AI formulation: machine w/ AGI, just as smart as humans in every way Applied AGI - CORRECT ANSWER-AI formulation: ML allows -> machines to master "expert systems", driving cars etc. Why AI boom (early 21st century) - CORRECT ANSWER-New computing power + available large data sets Expert systems - CORRECT ANSWER-Machines that replicate/ improve human experts specialized domains (slide 8 for examples) P...

ISYE 6501 Midterm 1 (2023/2024) Already Graded A Rows Data points are values in data tables Columns The 'answer' for each data point (response/outcome) Structured Data Quantitative, Categorical, Binary, Unrelated, Time Series Unstructured Data Text Support Vector Model Supervised machine learning algorithm used for both classification and regression challenges. Mostly used in classification problems by plotting each data item as a point in n-dimensional space (n is the number of features y...

ISYE 6501 Midterm 1 QUESTIONS CORRECTLY ANSWERED LATEST UPDATE Support Vector Machine(SVM) is a supervised machine learning algorithm used for? - ANSWER Classification How to split the data if we only have one model? - ANSWER 70% training data, 30% testing data How to split the data if we want to compare models? - ANSWER 70% training, 15% validation and 15% testing When do we need to do scaling in data? - ANSWER When our factors/attributes/dimensions are orders of magnitude differe...

ISYE 6501 Midterm 1 QUESTIONS CORRECTLY ANSWERED LATEST UPDATE Support Vector Machine(SVM) is a supervised machine learning algorithm used for? - ANSWER Classification How to split the data if we only have one model? - ANSWER 70% training data, 30% testing data How to split the data if we want to compare models? - ANSWER 70% training, 15% validation and 15% testing When do we need to do scaling in data? - ANSWER When our factors/attributes/dimensions are orders of magnitude differe...