Now showing items 4145-4164 of 7458

    • M: Business 

      Ferrell, O.C.; Hirt, Geoffrey A.; Ferrell, Linda (McGraw-Hill, 2019)
      This book is designed to be brief, lean, and flexible, its cutting-edge approach enables you to cover topics at the depth you want with an unrivaled mixture of exciting fresh content and resources supporting active learning. ...
    • Macau and the casino complex 

      Al, Stefan (editor) (University of Nevada Press, 2018)
      Essays by a number of experts give a deeper insight on topics ranging from the myth of the Chinese gambler, the role of feng shui in casino design, the city's struggle with heritage conservation, the politics of land ...
    • Machine learning 

      Mitchell, Tom M. (McGraw-Hill, 1997)
      This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and ...
    • Machine learning : algorithms and applications 

      Mohammed, Mohssen; Khan, Muhammad Badruddin; Bashier, Eihab Bashier Mohammed (CRC Press, 2017)
      Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the subject provide only a theoretical approach, making it difficult for a newcomer to grasp the ...
    • Machine Learning Algorithms and Applications 

      Srinivas, Mettu; Sucharitha, G.; Matta, Anjanna (Wiley, 2021)
      Machine Learning Algorithms is for current and ambitious machine learning specialists looking to implement solutions to real-world machine learning problems. It talks entirely about the various applications of machine and ...
    • Machine Learning and Artificial Intelligence in Marketing and Sales Essential Reference for Practitioners and Data Scientis 

      Syam, Niladri; Kaul, Rajeeve (Emerald Publishing Limited, 2021)
      Niladri I would like to gratefully acknowledge the support of my wife, Nivedita, without whose patience and encouragement this book would never have materi- alized. I would also like to thank my teacher, Professor Bibek ...
    • Machine learning for algorithmic trading : predictive models to extract signals from market and alternative data for systematic trading strategies with Python 

      Jansen, Stefan (Packt Publishing, 2020)
      This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by using examples ranging from ...
    • Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R (2nd Edition) 

      Shmueli, Galit; Gedeck, Peter; C. Bruce, Peter; Yahav, Inbal; R. Patel, Nitin (Wiley, 2023)
      Machine learning —also known as data mining or data analytics— is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning ...
    • Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions 

      Bhatt, Priya; Sethi, Amanrose; Tasgaonkar, Vaibhav; Shroff, Jugal; Pendharkar, Isha; Desai, Aditya; Sinha, Pratyush; Deshpande, Aditya; Joshi, Gargi; Rahate, Anil; Jain, Priyanka; Walambe, Rahee; Kotecha, Ketan; Jain, N. K. (Spinger Open, 2023)
      Human behaviour reflects cognitive abilities. Human cognition is fundamentally linked to the different experiences or characteristics of consciousness/emotions, such as joy, grief, anger, etc., which assists in effective ...
    • Machine Learning Techniques and Analytics for Cloud Security 

      Chakraborty, Rajdeep; Ghosh, Anupam; Kumar Mandal, Jyotsna (Scrivener Publishing, 2024)
      Our objective in writing this book was to provide the reader with an in-depth knowledge of how to integrate machine learning (ML) approaches to meet various analytical issues in cloud security deemed necessary due to the ...
    • Macroeconomic forecasting in the era of Big Data : theory and practice 

      Fuleky, Peter (editor) (Springer, 2020)
      This book surveys big data tools used in macroeconomic forecasting and addresses related econometric issues, including how to capture dynamic relationships among variables; how to select parsimonious models; how to deal ...
    • Macroeconomic theory 

      Böhm, Volker (Springer, 2017)
      This textbook offers a unique approach to macroeconomic theory built on microeconomic foundations of monetary macroeconomics within a unified framework of an intertemporal general equilibrium model extended to a sequential ...
    • Macroeconomics 

      Abel, Andrew B.; Bernanke, Ben S.; Croushore, Dean (Pearson, 2014)
    • Macroeconomics 

      Mankiw, N. Gregory (Worth Publishers, 2013)
      Mankiw provides an exceptionally clear and concise introduction to the macroeconomy, taking full account of the 2007-2009 financial crisis and the measures taken in response to it. In addition to a new chapter directly ...
    • Macroeconomics 

      Mankiw, N. Gregory (Worth Publishers, 2016)
      Mankiw’s Macroeconomics has been the number one book for the intermediate macro course since the publication of the first edition. It maintains that bestselling status by continually bringing the leading edge of macroeconomics ...
    • Macroeconomics 

      Mankiw, N. Gregory (Worth Publishers, 2019)
      Mankiw’s Macroeconomics has been the number one book for the intermediate macro course since the publication of the first edition. It maintains that bestselling status by continually bringing the leading edge of macroeconomics ...
    • Macroeconomics : principles and policy 

      Baumol, William J.; Blinder, Alan S.; Solow, John L. (Cengage Learning, 2020)
      Written by three of today's most respected economists, this book is one of the most up-to-date macroeconomics texts on the market - incorporating data and issues as recent as 2018. The authors combine the right level of ...
    • Macroeconomics in emerging markets 

      Montiel, Peter J. (Cambridge University Press, 2011)
      The macroeconomic experience of emerging and developing economies has tended to be quite different from that of industrial countries. Compared to industrial countries, emerging and developing economies have tended to be ...
    • Made to stick : why some ideas survive and others die 

      Material, Added (Chip Heath and Dan Heath, 2007)