Automating Data Quality Monitoring at Scale: Scaling Beyond Rules with Machine Learning by Jeremy Stanley, Paige Schwartz
Requirements: .ePUB, .PDF reader reader, 10 MB/21.4 MB
Overview: The world's businesses ingest a combined 2.5 quintillion bytes of data every day. But how much of this vast amount of data—used to build products, power AI systems, and drive business decisions—is poor quality or just plain bad? This practical book shows you how to ensure that the data your organization relies on contains only high-quality records. Most data engineers, data analysts, and data scientists genuinely care about data quality, but they often don't have the time, resources, or understanding to create a data quality monitoring solution that succeeds at scale. In this book, Jeremy Stanley and Paige Schwartz from Anomalo explain how you can use automated data quality monitoring to cover all your tables efficiently, proactively alert on every category of issue, and resolve problems immediately. We’ve written this book with three main audiences in mind. The first is the chief data and analytics officer (CDAO) or VP of data. The second audience for this book is the head of data governance. Our third audience is the data practitioner. Whether you’re a data scientist, analyst, or data engineer, your job depends on data quality, and the monitoring tools you use will have a significant impact on your day-to-day.
Genre: Non-Fiction > Tech & Devices


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The Wall Street Journal - 12 January 2024
Requirements: .PDF reader, 28 Mb True PDF
Overview: The Wall Street Journal is an American business-focused daily newspaper based in New York City.
Genre: Magazines & Newspapers


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Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python by Sofien Kaabar
Requirements: .ePUB reader, 10 MB
Overview: Deep Learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on Machine Learning and reinforcement learning. Sofien Kaabar—financial author, trading consultant, and institutional market strategist—introduces Deep Learning strategies that combine technical and quantitative analyses. By fusing Deep Learning concepts with technical analysis, this unique book presents outside-the-box ideas in the world of financial trading. This A-Z guide also includes a full introduction to technical analysis, evaluating machine learning algorithms, and algorithm optimization. Deep Learning is a slightly more complex and more detailed field than Machine Learning. Machine Learning and Deep Learning both fall under the umbrella of Data Science. As you will see, Deep Learning is mostly about neural networks, a highly sophisticated and powerful algorithm that has enjoyed a lot of coverage and hype, and for good reason: it is very powerful and able to catch highly complex nonlinear relationships between different variables. The book assumes you have basic background knowledge in both Python programming (professional Python users will find the code very straightforward) and financial trading. I take a clear and simple approach that focuses on the key concepts so that you understand the purpose of every idea.
Genre: Non-Fiction > Tech & Devices


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2 Sci-Fi Books by Jeremy Robinson
Requirements: .ePUB, .MOBI/.AZW reader, 2.59 MB
Overview: Jeremy Robinson was born in Beverly, Massachusetts, where he lived until he was 20. He now resides in New Hampshire with his wife and two children, where he works as a full-time writer. Robinson's career as a writer started out in comic books with several stints on indie comics. After that he wrote screenplays, several of which were produced, optioned or in development (including the screenplay version of The Didymus Contingency). His switch to book writing came with The Screenplay Workbook in 2003. He has since written five novels, three are published, Raising the Past and The Didymus Contingency and his third novel, Antarktos Rising, also from Breakneck Books.
Genre: Fiction > Sci-Fi/Fantasy > Action & Adventure


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