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Machine Learning for Business Analytics - Real-Time Data Analysis for Decision-Making
Hemachandran K; Sayantan Khanra; Raul V. Rodriguez; Juan Jaramillo
Taylor & Francis Ltd (2022)
Pehmeäkantinen kirja
68,90
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ostoskoriin kpl
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Machine Learning for Business Analytics - Real-Time Data Analysis for Decision-Making
Hemachandran K; Sayantan Khanra; Raul V. Rodriguez; Juan Jaramillo
Taylor & Francis Ltd (2022)
Kovakantinen kirja
188,80
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Digital Economy Post COVID-19 Era - Proceedings of 8th Conference of Indian Academy of Management (INDAM2023), Mumbai, India 202
Prashant Mishra; Ashu Sharma; Sayantan Khanra; Sumit K. Kundu; Sushanta Kumar Mishra
Springer Verlag, Singapore (2023)
Kovakantinen kirja
155,60
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ostoskoriin kpl
Siirry koriin
Digital Economy Post COVID-19 Era - Proceedings of 8th Conference of Indian Academy of Management (INDAM2023), Mumbai, India 202
Prashant Mishra; Ashu Sharma; Sayantan Khanra; Sumit K. Kundu; Sushanta Kumar Mishra
Springer Verlag, Singapore (2024)
Pehmeäkantinen kirja
155,60
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Machine Learning for Business Analytics - Real-Time Data Analysis for Decision-Making
68,90 €
Taylor & Francis Ltd
Sivumäärä: 174 sivua
Asu: Pehmeäkantinen kirja
Julkaisuvuosi: 2022, 04.08.2022 (lisätietoa)
Kieli: Englanti
Machine Learning is an integral tool in a business analyst’s arsenal because the rate at which data is being generated from different sources is increasing and working on complex unstructured data is becoming inevitable. Data collection, data cleaning, and data mining are rapidly becoming more difficult to analyze than just importing information from a primary or secondary source. The machine learning model plays a crucial role in predicting the future performance and results of a company. In real-time, data collection and data wrangling are the important steps in deploying the models. Analytics is a tool for visualizing and steering data and statistics. Business analysts can work with different datasets -- choosing an appropriate machine learning model results in accurate analyzing, forecasting the future, and making informed decisions.

The global machine learning market was valued at $1.58 billion in 2017 and is expected to reach $20.83 billion in 2024 -- growing at a CAGR of 44.06% between 2017 and 2024. The authors have compiled important knowledge on machine learning real-time applications in business analytics. This book enables readers to get broad knowledge in the field of machine learning models and to carry out their future research work. The future trends of machine learning for business analytics are explained with real case studies.

Essentially, this book acts as a guide to all business analysts. The authors blend the basics of data analytics and machine learning and extend its application to business analytics. This book acts as a superb introduction and covers the applications and implications of machine learning. The authors provide first-hand experience of the applications of machine learning for business analytics in the section on real-time analysis. Case studies put the theory into practice so that you may receive hands-on experience with machine learning and data analytics. This book is a valuable source for practitioners, industrialists, technologists, and researchers.

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Tilaustuote | Arvioimme, että tuote lähetetään meiltä noin 1-3 viikossa. | Tilaa jouluksi viimeistään 27.11.2024. Tuote ei välttämättä ehdi jouluksi.
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Machine Learning for Business Analytics - Real-Time Data Analysis for Decision-Makingzoom
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ISBN:
9781032072777
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