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The Textual Warehouse
Build a Textual Warehouse to help your organization understand and analyze documents through text analytics (both sentiment and non-sentiment analysis), to make better business decisions. Learn the important role of documents and text within your organization, the difference between identifying and qualifying text, and when you need document preprocessing. Appreciate the power of taxonomies and the necessity of textual ETL. Know how the textual warehouse architecture differs from the conventional data warehouse architecture and when to apply contextualization and textual disambiguation. About Bill Bill Inmon, the "father of the data warehouse," has written 60 books published in nine languages. ComputerWorld named Bill one of the ten most influential people in the history of the computer profession. Bill's latest adventure is the building of technology known as textual disambiguation. About Ranjeet Ranjeet Srivastava is a data management professional and an enterprise architect with more than 20 years in enterprise product research, development, and design of data-intensive mission-critical applications.
Proceedings of the First International Conference on Computational Intelligence and Informatics
The book covers a variety of topics which include data mining and data warehousing, high performance computing, parallel and distributed computing, computational intelligence, soft computing, big data, cloud computing, grid computing, cognitive computing, image processing, computer networks, wireless networks, social networks, wireless sensor networks, information and network security, web security, internet of things, bioinformatics and geoinformatics. The book is a collection of best papers submitted in the First International Conference on Computational Intelligence and Informatics (ICCII 2016) held during 28-30 May 2016 at JNTUH CEH, Hyderabad, India. It was hosted by Department of Computer Science and Engineering, JNTUH College of Engineering in association with Division V (Education & Research) CSI, India.
The Data Lakehouse Architecture
Learn how the data lakehouse is designed and architected to meet today's complex and ever-changing analytics, machine learning, and data science requirements. In the bestseller, "Building the Data Lakehouse", you learned about the features of the data lakehouse, along with its powerful analytical infrastructure. This book is the architectural companion to "Building the Data Lakehouse". Appreciate the strategic approaches and challenges with including structured data, text, and IoT/analog readings within the same analytical environment. Know the steps to create the data lakehouse canonical model, and the dynamic processing necessary to satisfy the most demanding business analysts and data scientists. Understand the modern cloud data storage cost-saving methodology through Data Future-proofing. Experience a new paradigm of Micro Repository in microservices architecture and advanced security to ensure your data lakehouse delivers business value for generations.
Rise of the Data Lakehouse
The data lakehouse is the next generation of the data warehouse and data lake, designed to meet today's complex and ever-changing analytics, machine learning, and data science requirements. Learn about the features and architecture of the data lakehouse, along with its powerful analytical infrastructure. Appreciate how the universal common connector blends structured, textual, analog, and IoT data. Maintain the lakehouse for future generations through Data Lakehouse Housekeeping and Data Future-proofing. Incorporate data catalogs, data lineage tools, and open source software into your architecture to ensure your data scientists, analysts, and end users live happily ever after. Deep dive into one specific implementation of a data lakehouse: the Databricks Lakehouse Platform.
A Methodology for Building the Data Lakehouse
Increase your awareness of artificial intelligence (AI) safety issues and learn about available solutions. We cover AI facts and fallacies and illustrate what a safe AI environment should look like. We explore a taxonomy of short-, medium-, and long-term AI issues along with potential solutions. Short-term issues include biased models, lack of context, and adversarial attacks. Medium-term issues include job takeovers by AI, increased social gap, and rise of global warming. Long-term issues include disruption of society in ways we can't handle, AI-based warfare, and loss of our humanity. Here is a link to all of Zacharias Voulgaris' machine learning, data science, and artificial intelligence (AI) videos.
Building the Data Lakehouse
The data lakehouse is the next generation of the data warehouse and data lake, designed to meet today's complex and ever-changing analytics, machine learning, and data science requirements. Learn about the features and architecture of the data lakehouse, along with its powerful analytical infrastructure. Appreciate how the universal common connector blends structured, textual, analog, and IoT data. Maintain the lakehouse for future generations through Data Lakehouse Housekeeping and Data Future-proofing. Know how to incorporate the lakehouse into an existing data governance strategy. Incorporate data catalogs, data lineage tools, and open source software into your architecture to ensure your data scientists, analysts, and end users live happily ever after.
Gateways #3
More than 200,000 years ago, the ancient Iconians created a network of interdimensional Gateways providing instantaneous transportation across unimaginable distances. Once known as the "Demons of Air and Darkness," the Iconians mysteriously vanished many millennia ago, never to return -- or so it was believed. Summoned to an emergency brieÞng at Starþeet Headquarters, Captain Jean-Luc Picard is stunned to discover that the legendary Iconians have returned at last, and are offering to sell the secrets of their advanced technology to the Federation. To prove their sincerity, they have reactivated their long-abandoned Gateways, but the results have been strife and chaos throughout the entire Alpha Quadrant. Now Picard and his crew must contend with feuding Klingons and Romulans as the captain seeks to discover the sinister truth behind the Iconians' unexpected rebirth!
Gateways Book Three: Doors Into Chaos
More than 200,000 years have passed since the Iconians first created the network of interdimensional gateways across the stars. Known to those who came after them as 'the Demons of Air and Darkness', the Iconians vanished from time and space millennia ago -- or did they? Summoned to an emergency briefing at Starfleet Headquarters, Captain Jean-Luc Picard is stunned to discover that the legendary Iconians have returned at last, and are offering to sell the secrets of their long-lost technology to the Federation. To prove their sincerity, they have reactivated their dormant gateways...but the result has been conflict and chaos throughout the Alpha Quadrant. Warring Klingons and Romulans are among the hazards Picard and his crew must contend with as they seek to discover the sinister truth behind the Iconians' mysterious return.
Learn AI with Python
Build AI applications using Python to intelligently interact with the world around you. KEY FEATURES ● Covers the practical aspects of Machine Learning and Deep Learning concepts with the help of this example-rich guide to Python. ● Includes graphical illustrations of Natural Language Processing and its implementation in NLTK. ● Covers deep learning models such as R-CNN and YOLO for object recognition and teaches how to build an image classifier using CNN. DESCRIPTION The book ‘Learn AI with Python’ is intended to provide you with a thorough understanding of artificial intelligence as well as the tools necessary to create your intelligent applications. This book introduces you to a...
