Unsupervised learning - Study guides, Class notes & Summaries

Oracle Cloud Infrastructure 2023 AI Foundations Associate (1Z0-1122-23) Test || Questions & Answers (Rated A+) Oracle Cloud Infrastructure 2023 AI Foundations Associate (1Z0-1122-23) Test || Questions & Answers (Rated A+) What is artificial intelligence? - ANSWER - the simulation of intelligent behaviours by computers Main characteristics of AI - ANSWER - Collection of data and the rules for using that data Ability to reason Ability to learn and adapt Expert system - ANSWER - A co...

Three main categories of predictive modeling problems - Answer- 1. Descriptive - Focuses on what happened in the past and aims to "describe" or explain the observed trends by identifying the relationships between different variables 2. Predictive - Focuses on what will happen in the future and is concerned with making accurate predictions 3. Prescriptive - Uses a combination of optimization and simulation to investigate and quantify the impact of different prescribed actions in different sce...

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...

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...

These lectures cover the material for the FINAL EXAM. But some basic knowledge about the 1st 6 lectures is required to fully understand all the material.

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 subset of training points in the decision functio...

Fog Computing for Intelligent Cloud IoT Systems (Advances in Learning Analytics for Intelligent Cloud-IoT Systems) 1st Edition Table of Contents Cover Table of Contents Series Page Title Page Copyright Page Preface Part I: STUDY OF FOG COMPUTING AND MACHINE LEARNING 1 Fog Computing: Architecture and Application 1.1 Introduction 1.2 Fog Computing: An Overview 1.3 Fog Computing for Intelligent Cloud-IoT System 1.4 Fog Computing Architecture 1.5 Basic Modules of Fog Computing 1.6 ...

Identify whether the task required is supervised or unsupervised learning: Predicting whether a company will go bankrupt based on comparing its financial data to those of similar bankrupt and nonbankrupt firms. -:- Supervised learning, all information evaluated is known Identify whether the task required is supervised or unsupervised learning: Printing of custom discount coupons at the conclusion of a grocery store checkout based on what you just bought and what others have bought pre...

information management - Answer-application of management techniques to collect information, communicate it within and outside the organization, and process it to enable managers to make quicker and better decisions why machine learning? - Answer-allows for quicker and better decisions machine learning - Answer-the science of getting computers to learn without being explicitly programmed (subset of ai) artificial intelligence (ai) - Answer-collection of machine learning algorithms with a c...

information management - application of management techniques to collect information, communicate it within and outside the organization, and process it to enable managers to make quicker and better decisions why machine learning? - allows for quicker and better decisions machine learning - the science of getting computers to learn without being explicitly programmed (subset of ai) artificial intelligence (ai) - collection of machine learning algorithms with a central unit deciding which ...