Raul V Rodriguez (300 results)

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Paperback. Condition: new. Paperback. Machine Learning is an integral tool in a business analysts 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. Machine Learning is an integral tool in a business analysts arsenal because the rate at which data is being generated from different sources is increasing and working on complex unstructured data is becoming inevitable. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Tapa blanda. Condition: Bien. - Los presidentes de la Comisión Gestora. Bellezas del Fuego y Belleas del Foc infantiles. Crónicas fogueriles.- Portada de José Perezgil. Ilustrado con fotografías. >>> Disponible en LIBRERIA DANTE (C/ Bono Guarner, 8. Alicante). DESCUENTO ESPECIAL en caso de pasar a recoger en la librería. El envío fuera de la península podría conllevar gastos adicionales (avisamos antes). Size: 180 p.; 22 cm.…

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Paperback. Condition: New. This comprehensive book provides an overview on the present status of positive organizational behaviour, offering insights on the growing body of research and scholarship, as well as suggestions for future directions in the field. Recent times have seen phenomenal and unprecedented changes in work settings, with many transitioning to hybrid or fully remote arrangements. In addition, unwarranted and unscrupulous application of technology, detrimental ramifications of work stress, and impaired well-being at work are posited to create an unsustainable work environment.Bringing together leading experts from around the world, this collection synthesizes and captures the advancements within the discipline of positive organizational behaviour. It covers such topics as: psychological capital, work engagement interventions, self-efficacy, emotions and positive work behaviour, free will, resilience, work wellbeing, evolutionary psychology and positive workplace, cross-cultural positive organizational behaviour, common-good HRM practices, and methodological advances and challenges in positivity assessments.The book offers a valuable resource for students and scholars of work/organizational psychology, organizational behaviour and applications of positive psychology. It is also a useful reference for organizations looking to understand and implement positive organizational policies in their workplaces.…

Paperback. Condition: New. 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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Paperback. Condition: New. 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.…