Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Sách Data Science and Data Analytics Opportunities and Challenges (Sách keo gáy, bìa mềm)
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’
Categories:Computers - Organization and Data Processing
Year:2021
Edition:1
Language:english
Pages:483
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