Tag: Analytics

November 25, 2024

SAP Analytics Cloud Predictive Analytics (SAP PRESS)

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Free Download SAP Analytics Cloud: Predictive Analytics (SAP PRESS) by Antoine Chabert, David Serre
English | March 27, 2024 | ISBN: 1493224786 | 315 pages | MOBI | 13 Mb
Today’s organizations must be prepared for tomorrow’s events. Forecast future behavior in SAP Analytics Cloud with this comprehensive guide to predictive analytics! Start by learning about the data types, scenarios, and methods used in predictive analytics projects. Then follow step-by-step instructions to build, analyze, and apply predictive models to your business data using classification, time series forecasting, and regression analysis. Automate your models and dive into the data science with this all-in-one guide!Learn to use SAP Analytics Cloud for predictive analyticsBuild time series, classification, and regression modelsEnrich SAP Analytics Cloud stories and planning processes with predictive models

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October 5, 2024

Proceedings of Data Analytics and Management ICDAM 2023, Volume 3 (PDF EPUB)

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Free Download Proceedings of Data Analytics and Management: ICDAM 2023, Volume 3 by Abhishek Swaroop, Zdzislaw Polkowski, Sérgio Duarte Correia, Bal Virdee
English | PDF EPUB (True) | 2023 | 686 Pages | ISBN : 9819965497 | 115.4 MB
This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK, during June 2023. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into four volumes.

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October 5, 2024

Mastering Data Engineering and Analytics with Databricks

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Free Download Mastering Data Engineering and Analytics with Databricks
English | 2024 | ISBN: 8196862040 | 526 Pages | EPUB (True) | 111 MB
This book uniquely blends foundational knowledge with advanced applications, equipping readers with the expertise to build, optimize, and scale data pipelines that meet real-world business needs. With a focus on actionable learning, it delves into complex workflows, including real-time data processing, advanced optimization with Delta Lake, and seamless ML integration with MLflow-skills critical for today’s data professionals.

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October 5, 2024

Big Data Analytics with Hadoop and Apache Spark (2024)

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Free Download Big Data Analytics with Hadoop and Apache Spark (2024)
Released 10/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 51m | Size: 119 MB
Apache Hadoop was a pioneer in the world of big data technologies, and it continues to lead in enterprise big data storage. Apache Spark is the top big data processing engine and provides an impressive array of features and capabilities. When used together, the Hadoop Distributed File System (HDFS) and Spark can provide a truly scalable setup for big data analytics. In this course, data analytics expert Kumaran Ponnambalam shows you how to leverage these two technologies to build scalable and optimized data analytics pipelines. Explore ways to optimize data modeling and storage on HDFS; discuss scalable data ingestion and extraction using Spark; and review actionable tips for optimizing data processing in Spark. Plus, complete a use case project that allows you to practice your new techniques.

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October 4, 2024

Sustainable IoT and Data Analytics Enabled Machine Learning Techniques and Applications

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Free Download Sustainable IoT and Data Analytics Enabled Machine Learning Techniques and Applications
English | 2024 | ISBN: 9819753643 | 216 Pages | EPUB (True) | 29 MB
This book provides a structured presentation of machine learning related to vision, speech, and natural language processing. It addresses the tools, techniques, and challenges of machine learning algorithm implementation, computation time, and the complexity of reasoning and modeling of different types of data. The book covers diverse topics such as semantic image segmentation, deep visual residual abstraction, brain-computer interfaces, natural language processing, traffic and signaling, driverless driving, and radiology. The majority of smart applications have a need for a sustainable Internet of things (IoT) and artificial intelligence. Active research trends and future directions of machine learning under big data analytics are also discussed. Machine learning is a class of artificial neural networks that have become dominant in various computer vision tasks, attracting interest across a variety of domains as they are a type of deep neural networks efficient in extracting meaningful information from visual imagery.

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