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  Author: creativelivenew1   |   16 September 2024   |   comments: 0
Data–driven Systems and Intelligent Applications
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English | 2025 | ISBN: 1032445963 | 232 Pages | PDF EPUB (True) | 16 MB
This book comprehensively discusses basic data-driven intelligent systems, the methods for processing the data, and cloud computing with artificial intelligence. It presents fundamental and advanced techniques used for handling large user data, and for the data stored in the cloud. It further covers data-driven decision-making for smart logistics and manufacturing systems, network security, and privacy issues in cloud computing.

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  Author: creativelivenew1   |   16 September 2024   |   comments: 0
Data–based Decision Making in Education Challenges and Opportunities
Free Download Data-based Decision Making in Education: Challenges and Opportunities By Kim Schildkamp, Mei Kuin Lai (auth.), Kim Schildkamp, Mei Kuin Lai, Lorna Earl (eds.)
2013 | 218 Pages | ISBN: 9400748159 | PDF | 2 MB
In a context where schools are held more and more accountable for the education they provide, data-based decision making has become increasingly important. This book brings together scholars from several countries to examine data-based decision making. Data-based decision making in this book refers to making decisions based on a broad range of evidence, such as scores on students' assessments, classroom observations etc.This book supports policy-makers, people working with schools, researchers and school leaders and teachers in the use of data, by bringing together the current research conducted on data use across multiple countries into a single volume. Some of these studies are 'best practice' studies, where effective data use has led to improvements in student learning. Others provide insight into challenges in both policy and practice environments. Each of them draws on research and literature in the field.

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  Author: creativelivenew1   |   16 September 2024   |   comments: 0
Data–Driven HR How to Use AI, Analytics and Data to Drive Performance
Free Download Data-Driven HR: How to Use AI, Analytics and Data to Drive Performance by Bernard Marr
English | December 26, 2023 | ISBN: 1398614564 | 240 pages | PDF | 2.07 Mb
How can HR professionals utilize and leverage their organization's data effectively, with the use of AI, for more talent attraction, better employee engagement and higher talent retention to ultimately drive performance?

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  Author: creativelivenew1   |   16 September 2024   |   comments: 0
Data Structures for Engineers and Scientists Using Python
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English | 2025 | ISBN: 1032463686 | 410 Pages | EPUB (True) | 10 MB
The text covers the fundamentals of Python programming and the implementation of data structures using Python programming with the help of worked-out examples. It provides a learning tool for engineers as well as for researchers and scientists of advanced level. The text further discusses important concepts such as polynomial manipulation, sparse matrices, implementation of stack using queue model and topological sorting.

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  Author: creativelivenew1   |   16 September 2024   |   comments: 0
Data Science A First Introduction with Python
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English | 2024 | ISBN: 103257223X | 452 Pages | EPUB (True) | 17 MB
Data Science: A First Introduction with Python focuses on using the Python programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference. It emphasizes workflows that are clear, reproducible, and shareable, and includes coverage of the basics of version control. Based on educational research and active learning principles, the book uses a modern approach to Python and includes accompanying autograded Jupyter worksheets for interactive, self-directed learning. The text will leave readers well-prepared for data science projects. It is designed for learners from all disciplines with minimal prior knowledge of mathematics and programming. The authors have honed the material through years of experience teaching thousands of undergraduates at the University of British Columbia.

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  Author: creativelivenew1   |   16 September 2024   |   comments: 0
Data Mining with Python Theory, Application, and Case Studies
Free Download Data Mining with Python: Theory, Application, and Case Studies (Chapman & Hall/CRC The Python Series) by Di Wu
English | April 10, 2024 | ISBN: 1032612649, 1032598905 | True EPUB | 414 pages | 8.9 MB
Data is everywhere and it's growing at an unprecedented rate. But making sense of all that data is a challenge. Data Mining is the process of discovering patterns and knowledge from large data sets, and Data Mining with Python focuses on the hands-on approach to learning Data Mining. It showcases how to use Python Packages to fulfill the Data Mining pipeline, which is to collect, integrate, manipulate, clean, process, organize, and analyze data for knowledge.

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  Author: creativelivenew1   |   16 September 2024   |   comments: 0
Data Engineering and Applications, Volume 1
Free Download Data Engineering and Applications: Proceedings of the International Conference, IDEA 2K22, Volume 1
English | 2024 | ISBN: 9819700361 | 617 Pages | PDF (True) | 32 MB
This book comprises select proceedings from the 4th International Conference on Data, Engineering, and Applications (IDEA 2022). The contents discuss novel contributions and latest developments in the domains of data structures and data management algorithms, information retrieval and information integration, social data analytics, IoT and data intelligence, Industry 4.0 and digital manufacturing, data fusion, natural language processing, geolocation handling, image, video and signal processing, ICT applications and e-governance, among others. This book is of interest to researchers in academia and industry working in big data, data mining, machine learning, data science, and their associated learning systems and applications.

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  Author: creativelivenew1   |   16 September 2024   |   comments: 0
Data Analytics for Discourse Analysis with Python
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English | 2024 | ISBN: 1032419016 | 190 Pages | EPUB (True) | 2.3 MB
The book provides a brief primer on data analytics, defined as the science of analyzing raw data to reveal new insights and support decision making. Currently underutilized in discourse research, Tay draws on the case of psychotherapy talk, in which clients' concerns are worked through via verbal interaction with therapists, to demonstrate how data analytics can address both practical and theoretical concerns. Each chapter follows a consistent structure, offering a streamlined walkthrough of a key technique, an example case study, and annotated Python code. The volume shows how techniques such as simulations, classification, clustering, and time series analysis can address such issues as incomplete data transcripts, therapist-client (a)synchrony, and client prognosis, offering inspiration for research, training, and practitioner self-reflection in psychotherapy and other discourse contexts.

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  Author: creativelivenew1   |   16 September 2024   |   comments: 0
Data Analytics for Business AI–ML–PBI–SQL–R
Free Download Wolfgang Garn, "Data Analytics for Business: AI-ML-PBI-SQL-R"
English | ISBN: 1032372621 | 2024 | 270 pages | EPUB | 9 MB
We are drowning in data but are starved for knowledge. Data Analytics is the discipline of extracting actionable insights by structuring, processing, analysing and visualising data using methods and software tools. Hence, we gain knowledge by understanding the data. A roadmap to achieve this is encapsulated in the knowledge discovery in databases (KDD) process. Databases help us store data in a structured way. The structure query language (SQL) allows us to gain first insights about business opportunities. Visualising the data using business intelligence tools and data science languages deepens our understanding of the key performance indicators and business characteristics. This can be used to create relevant classification and prediction models; for instance, to provide customers with the appropriate products or predict the eruption time of geysers. Machine learning algorithms help us in this endeavour. Moreover, we can create new classes using unsupervised learning methods, which can be used to define new market segments or group customers with similar characteristics. Finally, artificial intelligence allows us to reason under uncertainty and find optimal solutions for business challenges. All these topics are covered in this book with a hands-on process, which means we use numerous examples to introduce the concepts and several software tools to assist us. Several interactive exercises support us in deepening the understanding and keep us engaged with the material.

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  Author: creativelivenew1   |   16 September 2024   |   comments: 0
Data Analytics and Machine Learning for Integrated Corridor Management
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by Karnati, Yashaswi, Mahajan, Dhruv, Banerjee, Tania, Sengupta, Rahul, Packard, Clay, Casburn, Ryan, Agarwal, Nithin, Dilmore, Jeremy, Rangarajan, Anand, Ranka, Sanjay

English | 2025 | ISBN: 103257464X | 242 pages | True PDF EPUB | 38.05 MB

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