Tag: Analytics

December 25, 2023

Business Analytics with SAS Studio Deliver Business Intelligenc

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Free Download Business Analytics with SAS Studio: Deliver Business Intelligence by Combining SQL Processing, Insightful Visualizations, and Various Data Mining Techniques (English Edition) by Rajinder Kr. Chitoria
English | February 17, 2022 | ISBN: 9391392733 | 300 pages | MOBI | 6.97 Mb
Analyzing business data points with greater precision, efficiency, and speed

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December 25, 2023

Building Real-Time Analytics Systems (7th Early Release)

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Free Download Building Real-Time Analytics Systems
English | 2023 | ISBN: 9781098138783 | 240 Pages | MOBI EPUB (True) | 12 MB
Gain deep insight into real-time analytics, including the features of these systems and the problems they solve. With this practical book, data engineers at organizations that use event-processing systems such as Kafka, Google Pub/Sub, and AWS Kinesis will learn how to analyze data streams in real time. The faster you derive insights, the quicker you can spot changes in your business and act accordingly.

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December 25, 2023

Analytics for the Internet of Things (IoT)

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Free Download Analytics for the Internet of Things (IoT): Intelligent analytics for your intelligent devices
English | 2017 | ISBN: 9781787120730 | 611 Pages | MOBI EPUB (True) | 79 MB
Cloud resources are a great match for IoT analytics, so Amazon Web Services, Microsoft Azure, and PTC ThingWorx are reviewed in detail next. Geospatial analytics is then introduced as a way to leverage location information. Combining IoT data with environmental data is also discussed as a way to enhance predictive capability. We’ll also review the economics of IoT analytics and you’ll discover ways to optimize business value.

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December 25, 2023

Advanced Data Analytics Using Python With Machine Learning, Deep Learning and NLP Examples

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Free Download Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples by Sayan Mukhopadhyay
English | January 1, 2019 | ISBN: 1484234499 | 201 pages | MOBI | 1.04 Mb
Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as high-frequency algorithmic trading and goal-oriented dialog systems. You’ll also see examples of machine learning concepts such as semi-supervised learning, deep learning, and NLP. Advanced Data Analytics Using Python also covers important traditional data analysis techniques such as time series and principal component analysis.

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