Machine Learning For Business Analytics(1st Edition)
Authors:
Galit Shmueli, Peter C. Bruce, Amit V. Deokar, Nitin R. Patel
In Stock: 2 Left
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Expected shipping within 2 - 3 DaysPopular items with books
Total Price:
$86.63
Solution Manual Includes
Price:
$9.99
Book details
ISBN: 1119828791, 9781119828792
Book publisher: Wiley
Book Price $86.63 : Machine Learning for Business Analytics by Galit Shmueli, Peter C. Bruce, Amit V. Deokar, and Nitin R. Patel is a comprehensive guide that explores the application of machine learning technologies in business analytics. This insightful book covers a breadth of important technical methodologies such as predictive modeling, decision trees, and cluster analysis, which are crucial for harnessing big data for strategic decision-making. The book primarily targets data analysts, business professionals, and students, providing them with a solid foundation in machine learning and its application in business environments. Through real-world cases and examples, the authors skillfully elucidate complex concepts like supervised and unsupervised learning, ensuring a practical understanding for beginners and seasoned professionals alike. The book includes a solution manual and an Answer Key, making it a valuable educational resource for self-learners and instructors. The organized table of content assists readers in navigating through the book's topics effectively. Furthermore, the book's reception is favorable among business practitioners and academic circles, praising its clear presentation and applicability. By integrating the latest examples from business analytics, the authors manage to bridge the gap between theory and practical implementation, justifying the book's importance in today's data-driven decision-making era. This book's structured approach aids in understanding the implementation of Python and R programming languages in developing machine learning models for business solutions. With a focus on neural networks and the ethical use of AI within business, the literature stands as an authoritative reference in its field. Offering a cheap yet quality alternative to traditionally expensive textbooks and manuals.
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