Edge Learning for Distributed Big Data Analytics. Theory, Algorithms, and System Design, Hardback - ***

Introduces fundamental theory, basic and advanced algorithms, and system design issues. Essential reading for experienced researchers and developer...

The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and pract...

Publisher: De GruyterIllustration(s): 12 Tables, black and white; 75 Illustrations, black and whiteNumber of pages: 164Collection: De Gruyter Serie...

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Contains case studies on the practical application of data science and analytic tools in vehicles and smart cities and elaborates on how big data c...

Data science has taken the world by storm. Every field of study and area of business has been affected as people increasingly realize the value of ...

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Reducere. DescriptionIf you want to learn about data analytics and data mining then keep reading... 2 comprehensive manuscripts in 1 bookData Analytics: An E...

An exciting new textbook examining big data and business analytics to look at how they can help managers become more effective decision-makers.

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Describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, t...

Entropies and entropy-like quantities play an increasing role in modern non-linear data analysis. Fields that benefit from this application range f...

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The reference text covers big data concept in cloud based Wireless Ad hoc network and machine learning approaches in a single volume. It will be an...

The book carefully evaluates and compares the standard statistical models and approaches with those of machine learning and deep learning methods a...

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DescriptionAs data holdings get bigger and questions get harder, data scientists and analysts must focus on the systems, the tools and techniques, ...

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This textbook for senior undergraduate and graduate students offers comprehensive coverage, an algorithmic perspective, and a wealth of examples in...

This data-oriented approach to studying cyber threats shows in depth how traditional methods such as anomaly detection can be extended using data a...

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods a...

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 in...

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The book incorporates the many facets of computational intelligence, such as machine learning and deep learning, to provide groundbreaking developm...

Publisher: Elsevier Science Publishing Co IncNumber of pages: 244Publication date: 2022Dimensions: 152 x 229 x 15Cover type: Paperback / softbackEd...

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With this hands-on guide, anyone looking for an introduction to Spark will learn practical algorithms and examples using PySpark. In each chapter, ...

Reducere. Big Data Analytics with R, Paperback

An exciting new textbook examining big data and business analytics to look at how they can help managers become more effective decision-makers.

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El libro que te dar los conocimientos de Big Data Analytics que necesitas como CEO o Director de Marketing Si eres un directivo con perfil de negoc...

If you are looking to master the fundamental concepts of Data Science driven by the Python programming language to develop a solid understanding of...

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Intermediate-Advanced user levelIllustrations: 197 Illustrations, black and white; XXVI, 418 p. 197 illus.

The continuing importance of data analytics is not lost on higher education leaders, who face a multitude of challenges, including increasing opera...

Master advanced topics in the analysis of large, dynamically dependent datasets with this insightful resource Statistical Learning with Big Depende...

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A modern and unique treatment of process optimization which presents a thorough exposition of applications and algorithms in sufficient detail for ...

Reducere. If you are convinced that the world today is producing more data than the previous decades, then you understand that processing yesterday's data fo...

Updated for Spark 3.0, this practical guide brings together Spark, statistical methods, and real-world datasets to teach you how to approach analyt...

Machine Learning: The Art and Science of Algorithms that Make Sense of Data - Peter Flach

Master the skills and tools needed to leverage data, create a data-driven strategy and gain the competitive advantage.Publisher: Kogan Page LtdAuth...

Reducere. For introductory-level Python programming and/or data-science courses. A groundbreaking, flexible approach to computer science and data science The...

If you want to avoid wasting time and energy building something that nobody wants, then keep reading...Lean Analytics is an incredibly popular fram...