Machine Learning for Business Analytics 2nd Edition Concepts, Techniques, and Applications in R – Galit Shmueli
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Unlock the power of machine learning for business analytics with “Machine Learning for Business Analytics, 2nd Edition” by Galit Shmueli. This comprehensive guide provides a thorough understanding of concepts, techniques, and applications, using the robust statistical programming language R.
Learn to harness the capabilities of supervised and unsupervised learning algorithms. The book equips you with the skills to tackle real-world business challenges, build predictive models for forecasting, and optimize business processes through data-driven insights. Develop your ability to extract valuable information from data and translate it into actionable strategies.
This second edition delves into practical applications, enabling you to improve customer segmentation and targeting, enhance decision-making, and ultimately gain a competitive edge. Master the art of using machine learning to forecast future outcomes and make more informed business decisions.
Whether you’re a student, data analyst, or business professional, this book serves as an invaluable resource for anyone seeking to leverage machine learning for impactful business results. Gain a practical, hands-on understanding of machine learning techniques and their application in a business context. ISBNs: 9781119835172, 1119835178, 9781119835196, 1119835194
Master machine learning for business analytics! Galit Shmueli’s 2nd edition (ISBN: 9781119835172) uses R to teach concepts, techniques, & applications. Build predictive models, improve forecasting, & gain a competitive edge. Ideal for students & professionals.
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