Tag: Data

Free Download Data Science: A First Introduction with Python
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.

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.

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.

Free Download Data Analytics for Discourse Analysis with Python: The Case of Therapy Talk
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.

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.

Free Download Data Analytics and Machine Learning for Integrated Corridor Management
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

Free Download Yiannis Dimotikalis, "Data Analysis and Related Applications 4: New Approaches"
English | ISBN: 1786309920 | 2024 | 416 pages | PDF | 18 MB
This book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis and related applications, arising from data science, operations research, engineering, machine learning or statistics. The chapters of this collaborative work represent a cross-section of current research interests in the above scientific areas. The collected material has been divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications.

Free Download Christopher J. Edwards, "Basic Skills in Interpreting Laboratory Data, 7th Edition Ed 7"
English | ISBN: 1585286419 | 2022 | 700 pages | PDF | 22 MB
The most popular teaching text on laboratory data for pharmacy students and go-to reference for pharmacists in therapeutic practice.

Free Download Azure Data Engineer Associate Certification Guide: Ace the DP-203 exam with advanced data engineering skills by Giacinto Palmieri, Surendra Mettapalli, Newton Alex
English | May 23, 2024 | ISBN: 1805124684 | 548 pages | PDF | 66 Mb
Achieve Azure Data Engineer Associate certification success with this DP-203 exam guide