Chapman & Hall Data Science And Data Analytics Opportunities And Challenges Large 09780367628826
Data science is a multi-disciplinary field that uses scientific methods processes algorithms and systems to extract knowledge and insights from structured (labeled) and unstructured (unlabeled) data. It is the future of Artificial Intelligence (AI) and a necessity of the future to make things easier and more productive. In simple terms data science is the discovery of data or uncovering hidden patterns (such as complex behaviors trends and inferences) from data. Moreover Big Data analytics/data analytics are the analysis mechanisms used in data science by data scientists. Several tools such as Hadoop R etc. are used to analyze this large amount of data to predict valuable information and for decision-making. Note that structured data can be easily analyzed by efficient (available) business intelligence tools while most of the data (80% of data by 2020) is in an unstructured form that requires advanced analytics tools. But while analyzing this data we face several concerns such as complexity scalability privacy leaks and trust issues. Data science helps us to extract meaningful information or insights from unstructured or complex or large amounts of data (available or stored virtually in the cloud). Data Science and Data Analytics: Opportunities and Challenges covers all possible areas applications with arising serious concerns and challenges in this emerging field in detail with a comparative analysis/taxonomy. FEATURES Gives the concept of data science tools and algorithms that exist for many useful applications Provides many challenges and opportunities in data science and data analytics that help researchers to identify research gaps or problems Identifies many areas and uses of data science in the smart era Applies data science to agriculture healthcare graph mining education security etc. Academicians data scientists and stockbrokers from industry/business will find this book useful for designing optimal strategies to enhance their firm’s productivity. | Data Science and Data Analytics Opportunities and Challenges
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Details:Chapman & Hall Data Science And Data Analytics Opportunities And Challenges Large 09780367628826
Data science is a multi-disciplinary field that uses scientific methods processes algorithms and systems to extract knowledge and insights from structured (labeled) and unstructured (unlabeled) data. It is the future of Artificial Intelligence (AI) and a necessity of the future to make things easier and more productive. In simple terms data science is the discovery of data or uncovering hidden patterns (such as complex behaviors trends and inferences) from data. Moreover Big Data analytics/data analytics are the analysis mechanisms used in data science by data scientists. Several tools such as Hadoop R etc. are used to analyze this large amount of data to predict valuable information and for decision-making. Note that structured data can be easily analyzed by efficient (available) business intelligence tools while most of the data (80% of data by 2020) is in an unstructured form that requires advanced analytics tools. But while analyzing this data we face several concerns such as complexity scalability privacy leaks and trust issues. Data science helps us to extract meaningful information or insights from unstructured or complex or large amounts of data (available or stored virtually in the cloud). Data Science and Data Analytics: Opportunities and Challenges covers all possible areas applications with arising serious concerns and challenges in this emerging field in detail with a comparative analysis/taxonomy. FEATURES Gives the concept of data science tools and algorithms that exist for many useful applications Provides many challenges and opportunities in data science and data analytics that help researchers to identify research gaps or problems Identifies many areas and uses of data science in the smart era Applies data science to agriculture healthcare graph mining education security etc. Academicians data scientists and stockbrokers from industry/business will find this book useful for designing optimal strategies to enhance their firm’s productivity. | Data Science and Data Analytics Opportunities and Challenges
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Product Description
Data science is a multi-disciplinary field that uses scientific methods processes algorithms and systems to extract knowledge and insights from structured (labeled) and unstructured (unlabeled) data. It is the future of Artificial Intelligence (AI) and a necessity of the future to make things easier and more productive. In simple terms data science is the discovery of data or uncovering hidden patterns (such as complex behaviors trends and inferences) from data. Moreover Big Data analytics/data analytics are the analysis mechanisms used in data science by data scientists. Several tools such as Hadoop R etc. are used to analyze this large amount of data to predict valuable information and for decision-making. Note that structured data can be easily analyzed by efficient (available) business intelligence tools while most of the data (80% of data by 2020) is in an unstructured form that requires advanced analytics tools. But while analyzing this data we face several concerns such as complexity scalability privacy leaks and trust issues. Data science helps us to extract meaningful information or insights from unstructured or complex or large amounts of data (available or stored virtually in the cloud). Data Science and Data Analytics: Opportunities and Challenges covers all possible areas applications with arising serious concerns and challenges in this emerging field in detail with a comparative analysis/taxonomy. FEATURES Gives the concept of data science tools and algorithms that exist for many useful applications Provides many challenges and opportunities in data science and data analytics that help researchers to identify research gaps or problems Identifies many areas and uses of data science in the smart era Applies data science to agriculture healthcare graph mining education security etc. Academicians data scientists and stockbrokers from industry/business will find this book useful for designing optimal strategies to enhance their firm’s productivity. | Data Science and Data Analytics Opportunities and Challenges
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Size | Large |
Brand | Chapman & Hall |
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