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  Author: creativelivenew1   |   26 May 2026   |   Comments icon: 0

Data Science with Python: A Beginner-Friendly Practical Guide: From Data Cleaning and Visualization to Machine Learning, Forecasting, and Real-World Projects - No Heavy Math, Step-by-Step Learning
by prakash kumar

English | 2026 | ASIN: B0GJQ8M35Z | 197 pages | pdf | 54 MB

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  Author: creativelivenew1   |   26 May 2026   |   Comments icon: 0

Data Science with Julia: Build Models and Analyze Data
by Grilo West

English | 2026 | ASIN: B0GLLDTRNP | 353 Pages | PDF | 109 MB

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  Author: creativelivenew1   |   26 May 2026   |   Comments icon: 0

Data Science in 7 days by Narayana Nemani
English | 2026 | ASIN: B0GHYHZVCX | 195 pages | pdf | 48 MB
Unlock the Power of Data - No Prior Experience Required!

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  Author: creativelivenew1   |   26 May 2026   |   Comments icon: 0

Brennan Davis, "Data Science for All"
English | ISBN: 0138323143 | 2025 | 600 pages | PDF | 84 MB
We are all consumers of data, and you may become directly engaged with data work in your future career. Data Science for All, 1st Edition takes you on a thorough yet reader-friendly journey into the subject to help you navigate a data-rich world. The authors demystify data science, covering its entire lifecycle from preparation and analysis to storytelling. Designed for students of all majors and backgrounds, it distills the most applicable ideas from the component fields of statistics, computer science, and domain application, helping you apply them immediately to your everyday life. Learning by doing is emphasized through the authors' unique STAR framework and various tools that encourage a more engaging and practical experience.

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  Author: creativelivenew1   |   26 May 2026   |   Comments icon: 0

Mohammed Mahmoud, "Data Science and Big Data in Biology, Physical Science and Engineering"
English | ISBN: 3725800367 | 2024 | 238 pages | PDF | 17 MB
Big Data analysis is one of the most contemporary areas of development and research in the present day. Tremendous amounts of data are generated every single day from digital technologies and modern information systems, such as cloud computing and Internet of Things (IoT) devices. Analysis of these enormous amounts of data has become a crucial need and requires a lot of effort in order to extract valuable knowledge for decision-making, which in turn will help both academia and industry.

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  Author: creativelivenew1   |   26 May 2026   |   Comments icon: 0

Data Science and Artificial Intelligence (Communications in Computer and Information Science) by Chutiporn Anutariya, Marcello Bonsangue, Amalka Pinidiyaarachchi
English | November 12, 2025 | ISBN: 9819544084 | 356 pages | True ePUB, PDF | 65 Mb
The 22 full papers and 4 invited talks were included in this book were carefully reviewed and selected from 92 submissions.They were organized in topical sections as follows: Large Language Models and Advanced NLP, Computer Vision and Deep Learning for Image/Video Analysis, Healthcare, Medicine, and Survival Analysis, Time Series Forecasting and Predictive Modeling, Explainable AI and Bias Detection, Optimization, Efficiency, and Edge Computing, Domain-Specific Applications and Case Studies.

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  Author: creativelivenew1   |   26 May 2026   |   Comments icon: 0

Theo Lynn, "Data Privacy and Trust in Cloud Computing: Building trust in the cloud through assurance and accountability "
English | ISBN: 3030546594 | 2020 | 170 pages | MOBI | 655 KB
This open access book brings together perspectives from multiple disciplines including psychology, law, IS, and computer science on data privacy and trust in the cloud. Cloud technology has fueled rapid, dramatic technological change, enabling a level of connectivity that has never been seen before in human history. However, this brave new world comes with problems. Several high-profile cases over the last few years have demonstrated cloud computing's uneasy relationship with data security and trust.

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  Author: creativelivenew1   |   26 May 2026   |   Comments icon: 0

Data Pipelines with Apache Airflow: Orchestration for data and AI, 2nd Edition
English | 2026 | ISBN: 1633436373 | 513 pages | True PDF | 64.29 MB
Simplify, streamline, and scale your data operations with data pipelines built on Apache Airflow.

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  Author: creativelivenew1   |   26 May 2026   |   Comments icon: 0

Data Pipelines with Apache Airflow: Orchestration for data and AI, 2nd Edition
English | 2026 | ISBN: 1633436373 | 513 pages | True PDF | 64.29 MB
Simplify, streamline, and scale your data operations with data pipelines built on Apache Airflow.

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  Author: creativelivenew1   |   26 May 2026   |   Comments icon: 0

Data Pipelines with Apache Airflow: Orchestration for data and AI, 2nd Edition
English | 2026 | ISBN: 1633436373 | 513 pages | True PDF,EPUB | 78.35 MB
Data Pipelines with Apache Airflow has empowered thousands of data engineers to build more successful data platforms. This new second edition has been fully revised for Airflow 3 with coverage of all the latest features of Apache Airflow, including the Taskflow API, deferrable operators, and Large Language Model integration. Filled with real-world scenarios and examples, you'll be carefully guided from Airflow novice to expert.

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