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Machine Learning for Time Series Forecasting with Python
  • Language: en
  • Pages: 224

Machine Learning for Time Series Forecasting with Python

Learn how to apply the principles of machine learning to time series modeling with this indispensable resource Machine Learning for Time Series Forecasting with Python is an incisive and straightforward examination of one of the most crucial elements of decision-making in finance, marketing, education, and healthcare: time series modeling. Despite the centrality of time series forecasting, few business analysts are familiar with the power or utility of applying machine learning to time series modeling. Author Francesca Lazzeri, a distinguished machine learning scientist and economist, corrects that deficiency by providing readers with comprehensive and approachable explanation and treatment ...

Time Series Forecasting
  • Language: en
  • Pages: 300

Time Series Forecasting

Learn how to build and operationalize machine learning forecast models for your everyday projects. With this practical book, experienced and novice data scientists, business analysts, and AI developers will learn the steps necessary for building, training, and deploying time series forecasting models for their organizations. Time series data is an invaluable source of information used for future strategy and planning operations in several industries. From finance to education and health care, time series forecasting plays a major role in unlocking business insights with respect to time. During the past few decades, machine learning model-based forecasting has become popular in both the private and the public decision-making process.

Machine Learning Governance for Managers
  • Language: en
  • Pages: 126

Machine Learning Governance for Managers

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Impact of Artificial Intelligence in Business and Society
  • Language: en
  • Pages: 280

Impact of Artificial Intelligence in Business and Society

Belonging to the realm of intelligent technologies, it is increasingly accepted that artificial intelligence (AI) has evolved from being merely a development standpoint in computer science. Indeed, recent reports and academic publications show that we are clearly on the path toward pervasive AI in both business and society. Organizations must adopt AI to maintain a competitive advantage and explore opportunities for unprecedented innovation. This book focuses on understanding the wide range of opportunities as well as the spectrum of challenges AI brings in different business contexts and society at large. The book highlights novel and high-quality research in data science and business analy...

Machine Learning for Time Series Forecasting with Python
  • Language: en
  • Pages: 224

Machine Learning for Time Series Forecasting with Python

Learn how to apply the principles of machine learning to time series modeling with this indispensable resource Machine Learning for Time Series Forecasting with Python is an incisive and straightforward examination of one of the most crucial elements of decision-making in finance, marketing, education, and healthcare: time series modeling. Despite the centrality of time series forecasting, few business analysts are familiar with the power or utility of applying machine learning to time series modeling. Author Francesca Lazzeri, a distinguished machine learning scientist and economist, corrects that deficiency by providing readers with comprehensive and approachable explanation and treatment ...

Impact of Artificial Intelligence in Business and Society
  • Language: en
  • Pages: 295

Impact of Artificial Intelligence in Business and Society

Belonging to the realm of intelligent technologies, it is increasingly accepted that artificial intelligence (AI) has evolved from being merely a development standpoint in computer science. Indeed, recent reports and academic publications show that we are clearly on the path toward pervasive AI in both business and society. Organizations must adopt AI to maintain a competitive advantage and explore opportunities for unprecedented innovation. This book focuses on understanding the wide range of opportunities as well as the spectrum of challenges AI brings in different business contexts and society at large. The book highlights novel and high-quality research in data science and business analy...

Extending Power BI with Python and R
  • Language: en
  • Pages: 559

Extending Power BI with Python and R

Perform more advanced analysis and manipulation of your data beyond what Power BI can do to unlock valuable insights using Python and R Key FeaturesGet the most out of Python and R with Power BI by implementing non-trivial codeLeverage the toolset of Python and R chunks to inject scripts into your Power BI dashboardsImplement new techniques for ingesting, enriching, and visualizing data with Python and R in Power BIBook Description Python and R allow you to extend Power BI capabilities to simplify ingestion and transformation activities, enhance dashboards, and highlight insights. With this book, you'll be able to make your artifacts far more interesting and rich in insights using analytical...

New Frontiers in Open Innovation
  • Language: en
  • Pages: 369

New Frontiers in Open Innovation

Following on from their previous book 'Open Innovation', the editors have compiled this book, as a major initiative of top scholars in open innovation setting out a research agenda for the next 5 to 10 years.

Internet of Things in the Food Industry
  • Language: en
  • Pages: 253

Internet of Things in the Food Industry

The food industry is experiencing a digital transformation across the entire supply chain, from farm to fork. This book offers comprehensive insights into the challenges and opportunities faced, specifically examining the application of the Internet of Things. The authors analyse the benefits and the related threats from the perspective of the participants of the entire supply chain, including consumers. Taking the reader on a journey, this book begins with an analysis of technology use in farming, production, logistics and retailing before delving into the use of digitalization in educating consumers on sustainable consumption practices. The multifaceted analysis of the Internet of Food potential combines science and practice, enriching theoretical analysis with case studies. This book will be of interest to those researching and studying supply chain management, logistics, innovation and technology management and consumption, with a particular interest in the food industry.

Management System for Strategic Innovation
  • Language: en
  • Pages: 242

Management System for Strategic Innovation

Strategic innovation dynamically brings about strategic positioning through new products, services and business models, and is a dynamic view of strategy that enables a corporation to maintain its competitive advantage and establish sustainable growth. For these reasons, corporations have to be innovators that can reinforce their existing positions through incremental innovation, while at the same time constantly renewing or destroying existing business through radical innovation. This book presents a holistic theoretical model, The Strategic Innovation System, as a system of capabilities for companies to achieve strategic innovation. As a subsystem of the Strategic Innovation System, this b...