Value: $48.00 - $43.01
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Guides professionals and college students via the quickly rising subject of machine studying with hands-on examples within the fashionable R programming language
Machine studying―a department of Synthetic Intelligence (AI) which permits computer systems to enhance their outcomes and be taught new approaches with out express directions―permits organizations to disclose patterns of their knowledge and incorporate predictive analytics into their decision-making course of. Sensible Machine Studying in R supplies a hands-on strategy to fixing enterprise issues with clever, self-learning pc algorithms.
Bestselling creator and knowledge analytics consultants Fred Nwanganga and Mike Chapple clarify what machine studying is, display its organizational advantages, and supply hands-on examples created within the R programming language. An ideal information for skilled self-taught learners or college students in an introductory machine studying course, this reader-friendly guide illustrates the quite a few real-world enterprise makes use of of machine studying approaches. Clear and detailed chapters cowl knowledge wrangling, R programming with the favored RStudio instrument, classification and regression methods, efficiency analysis, and extra.
Explores knowledge administration methods, together with knowledge assortment, exploration and dimensionality reductionCovers unsupervised studying, the place readers determine and summarize patterns utilizing approaches corresponding to apriori, eclat and clusteringDescribes the rules behind the Nearest Neighbor, Resolution Tree and Naive Bayes classification techniquesExplains the best way to consider and select the proper mannequin, in addition to the best way to enhance mannequin efficiency utilizing ensemble strategies corresponding to Random Forest and XGBoost
Sensible Machine Studying in R is a must have information for enterprise analysts, knowledge scientists, and different professionals eager about leveraging the facility of AI to resolve enterprise issues, in addition to college students and unbiased learners in search of to enter the sphere.
Writer : Wiley
Publication date : Might 27 2020
Version : 1st
Language : English
Print size : 464 pages
ISBN-10 : 1119591511
ISBN-13 : 978-1119591511
Merchandise weight : 930 g
Dimensions : 18.54 x 2.03 x 23.11 cm
Finest Sellers Rank: #685,467 in Books (See High 100 in Books) #128 in Machine Idea #188 in AI Idea of Computing #244 in Knowledge Mining
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