Название: Machine Learning for Business Analytics: Real-Time Data Analysis for Decision-Making
Автор: Hemachandran K., Sayantan Khanra, Raul V. Rodriguez, Juan R. Jaramillo
Издательство: Routledge
Год: 2023
Страниц: 191
Язык: английский
Формат: pdf (true), epub (true)
Размер: 10.2 MB
Machine Learning is an integral tool in a business analyst’s arsenal because the rate at which data is being generated from different sources is increasing and working on complex unstructured data is becoming inevitable. Data collection, data cleaning, and data mining are rapidly becoming more difficult to analyze than just importing information from a primary or secondary source. The Machine Learning model plays a crucial role in predicting the future performance and results of a company. In real-time, data collection and data wrangling are the important steps in deploying the models. Analytics is a tool for visualizing and steering data and statistics. Business analysts can work with different datasets -- choosing an appropriate machine learning model results in accurate analyzing, forecasting the future, and making informed decisions. Commonly used ML algorithms are given specific attention. The algorithms studied include linear regression, logistic regression, Naive Bayes, kNN, random forest, and others. The basic three types of ML algorithms are as follows: 1) Supervised Learning; 2) Unsupervised Learning; 3) Reinforcement Learning.