Machine Learning For Business Analytics Concepts Techniques And Applications In Python(2ND Edition)
Authors:
Galit Shmueli ,Peter C Bruce ,Peter Gedeck ,Nitin R Patel
Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New
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ISBN: 1394286791, 978-1394286799
Book publisher: Wiley
Book Price $98.67 : Machine Learning For Business Analytics: Concepts, Techniques, And Applications In Python Is A Comprehensive Introduction To And An Overview Of The Methods That Underlie Modern AI. This Best-selling Textbook Covers Both Statistical And Machine Learning (AI) Algorithms For Prediction, Classification, Visualization, Dimension Reduction, Rule Mining, Recommendations, Clustering, Text Mining, Experimentation, Network Analytics And Generative AI. Along With Hands-on Exercises And Real-life Case Studies, It Also Discusses Managerial And Ethical Issues For Responsible Use Of Machine Learning Techniques. This Is The Second Python Edition Of Machine Learning For Business Analytics. This Edition Also Includes: A New Chapter On Generative AI (large Language Models Or LLMs, And Image Generation) An Expanded Chapter On Deep Learning A New Chapter On Experimental Feedback Techniques Including A/B Testing, Uplift Modeling, And Reinforcement Learning A New Chapter On Responsible Data Science Updates And New Material Based On Feedback From Instructors Teaching MBA, Masters In Business Analytics And Related Programs, Undergraduate, Diploma And Executive Courses, And From Their Students A Full Chapter Of Cases Demonstrating Applications For The Machine Learning Techniques End-of-chapter Exercises With Data A Companion Website With More Than Two Dozen Data Sets, And Instructor Materials Including Exercise Solutions, Slides, And Case Solutions This Textbook Is An Ideal Resource For Upper-level Undergraduate And Graduate Level Courses In AI, Data Science, Predictive Analytics, And Business Analytics. It Is Also An Excellent Reference For Analysts, Researchers, And Data Science Practitioners Working With Quantitative Data In Management, Finance, Marketing, Operations Management, Information Systems, Computer Science, And Information Technology
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Grabbed this book on discount since i needed it for my course DATA 3200: Machine Learning Applications in Business Analytics and it showed up way faster than i expected, came in great shape too. havent managed to get through more than a few pages but first look tells me it’s packed with useful info and seems pretty well put together. the cover and pages feel sturdy, which is always a bonus when you plan to use it for classes. looking forward to using it more once class workload settles a bit, but so far super happy with the purchase!




























