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AI and Analytics in Production
Author Ellen Friedman , Ted Dunning
If you’ve begun to deploy large-scale data systems into production, or have at least explored the process, this practical ebook shows business team leaders, business analysts, and technical developers how to make your big data analytics, machine learning, and AI in....
Release Date 2018/10 -
Author Ellen Friedman , Ted Dunning
Many organizations have begun to rethink the strategy of allowing regional teams to maintain independent databases that are periodically consolidated with the head office. As businesses extend their reach globally, these hierarchical approaches no longer work. Inst....
Release Date 2018/08 -
Author Ellen Friedman , Ted Dunning
To succeed with machine learning or deep learning, you must handle the logistics well. Simply put, you need an effective management system for overall data flow and the evaluation and deployment of multiple models as they move from prototype to production. Without ....
Release Date 2017/10 -
Author Kostas Tzoumas , Ellen Friedman
There’s growing interest in learning how to analyze streaming data in large-scale systems such as web traffic, financial transactions, machine logs, industrial sensors, and many others. But analyzing data streams at scale has been difficult to do well—until now. Th....
Release Date 2016/11 -
Author Ellen Friedman , Ted Dunning
More and more data-driven companies are looking to adopt stream processing and streaming analytics. With this concise ebook, you’ll learn best practices for designing a reliable architecture that supports this emerging big-data paradigm.Authors Ted Dunning and Elle....
Release Date 2016/05 -
Author Ellen Friedman , Ted Dunning
Many big data-driven companies today are moving to protect certain types of data against intrusion, leaks, or unauthorized eyes. But how do you lock down data while granting access to people who need to see it? In this practical book, authors Ted Dunning and Ellen ....
Release Date 2015/09 -
Author Ted Dunning , Ellen Friedman
If you’re a business team leader, CIO, business analyst, or developer interested in how Apache Hadoop and Apache HBase-related technologies can address problems involving large-scale data in cost-effective ways, this book is for you. Using real-world stories and sit....
Release Date 2015/04 -
Time Series Databases: New Ways to Store and Access Data
Author Ellen Friedman , Ted Dunning
Time series data is of growing importance, especially with the rapid expansion of the Internet of Things. This concise guide shows you effective ways to collect, persist, and access large-scale time series data for analysis. You’ll explore the theory behind time ser....
Release Date 2014/12 -
Practical Machine Learning: A New Look at Anomaly Detection
Author Ellen Friedman , Ted Dunning
Anomaly detection is the detective work of machine learning: finding the unusual, catching the fraud, discovering strange activity in large and complex datasets. But, unlike Sherlock Holmes, you may not know what the puzzle is, much less what "suspects" you’re looki....
Release Date 2014/08 -
Practical Machine Learning: Innovations in Recommendation
Author Ellen Friedman , Ted Dunning
Building a simple but powerful recommendation system is much easier than you think. Approachable for all levels of expertise, this report explains innovations that make machine learning practical for business production settings—and demonstrates how even a small-sca....
Release Date 2014/02 -
Author Ellen Friedman , Ted Dunning , Robin Anil , Sean Owen
SummaryMahout in Action is a hands-on introduction to machine learning with Apache Mahout. Following real-world examples, the book presents practical use cases and then illustrates how Mahout can be applied to solve them. Includes free access to audio and video clip....
Release Date 2011/10