Machine Learning for Business Analytics: Concepts, Techniques, and Applications in Python. Galit Shmueli, Peter C. Bruce, Peter Gedeck, Nitin R. Patel

Machine Learning for Business Analytics: Concepts, Techniques, and Applications in Python

Machine-Learning-for-Business.pdf
ISBN: 9781394286799 | 720 pages | 18 Mb

Machine Learning for Business Analytics: Concepts, Techniques, and Applications in Python
Galit Shmueli, Peter C. Bruce, Peter Gedeck, Nitin R. Patel
Page: 720
Format: pdf, ePub, fb2, mobi
ISBN: 9781394286799
Publisher: Wiley

Download Machine Learning for Business Analytics: Concepts, Techniques, and Applications in Python

Ebooks for ipad free download Machine Learning for Business Analytics: Concepts, Techniques, and Applications in Python by Galit Shmueli, Peter C. Bruce, Peter Gedeck, Nitin R. Patel

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.

Data Mining for Business Analytics: Concepts, Techniques and .
analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process; A new section on .
Concepts Techniques and Applications in R by Galit Shmueli
Buy Machine Learning for Business Analytics: Concepts Techniques and Galit Shmueli 2nd edition or 2023 edition Wiley ISBN 1119835178 9780002007313.
Data Mining for Business Analytics: Concepts, Techniques and .
A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning .
Machine Learning for Business Analytics: Concepts, Techniques .
MACHINE LEARNING FOR BUSINESS ANALYTICS. Machine learning—also known as data mining or predictive analytics—is a fundamental part of data science.
Data Science Tutorial - GeeksforGeeks
Tools for Data Science · Mathematics for Data Science · Data Preprocessing · Data Analysis · Data Visualization · Machine Learning · Careers in Data .
Machine Learning for Business Analytics: Concepts, Techniques .
This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule .
Data Mining for Business Analytics: Concepts, Techniques and .
It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, .
Machine Learning for Business Analytics:. book by Peter C. Bruce
The fourth edition of this best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, .
DataCamp: Learn Data Science and AI Online
Learn Data Science & AI from the comfort of your browser, at your own pace with DataCamp's video tutorials & coding challenges on R, Python, .
Mathematics for Machine Learning and Data Science | Coursera
And so, in this specialization, you'll apply the math concepts you learn using Python programming in hands-on lab exercises. Business Analysis · Data .

Links:
Télécharger PDF "From Self-Doubt to Self-Assurance: A Step-by-Step Guide"
[ePub] RENACIMIENTO descargar gratis
[PDF] Street Dogs: False Friends by Lisa Worth, Mandy Lalley
[Kindle] Un Noël à Christmas téléchargement
[PDF, EPUB] Download Rethinking the Republic of Letters: Memory and Identity in Early Modern Learned Communities by Koen Scholten Full Book
[PDF, EPUB] Download Der Fluch des Goldes: Die großen Western 405 by Frank Wells Full Book