César Pérez López

(Author)

DATA MINING and MACHINE LEARNING. PREDICTIVE TECHNIQUES: REGRESSION, GENERALIZED LINEAR MODELS, SUPPORT VECTOR MACHINE and NEURAL NETWORKS: Examples wPaperback, 11 November 2021

DATA MINING and MACHINE LEARNING. PREDICTIVE TECHNIQUES: REGRESSION, GENERALIZED LINEAR MODELS, SUPPORT VECTOR MACHINE and NEURAL NETWORKS: Examples w
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Print Length
192 pages
Language
English
Publisher
Lulu.com
Date Published
11 Nov 2021
ISBN-10
1794829466
ISBN-13
9781794829466

Description

Data Mining and Machine Learning uses two types of techniques: predictive techniques (supervised techniques), which trains a model on known input and output data so that it can predict future outputs, and descriptive techniques (unsupervised techniques), which finds hidden patterns or intrinsic structures in input data. The aim of predictive techniques is to build a model that makes predictions based on evidence in the presence of uncertainty. A predictive algorithm takes a known set of input data and known responses to the data (output) and trains a model to generate reasonable predictions for the response to new data. Predictive techniques uses regression techniques to develop predictive models. This book develoop regression models, generalized lineal models, logistic regression models, support vector machine regression models, gaussian procces regression models and predictive models with neural networks.

Product Details

Author:
César Pérez López
Book Format:
Paperback
Country of Origin:
US
Date Published:
11 November 2021
Dimensions:
29.69 x 21.01 x 1.04 cm
ISBN-10:
1794829466
ISBN-13:
9781794829466
Language:
English
Pages:
192
Publisher:
Weight:
471.74 gm

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