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Agile Machine Learning - Effective Machine Learning Inspired by the Agile Manifesto (Paperback, 1st ed.): Eric Carter, Matthew... Agile Machine Learning - Effective Machine Learning Inspired by the Agile Manifesto (Paperback, 1st ed.)
Eric Carter, Matthew Hurst
R1,898 R1,510 Discovery Miles 15 100 Save R388 (20%) Ships in 10 - 15 working days

Build resilient applied machine learning teams that deliver better data products through adapting the guiding principles of the Agile Manifesto. Bringing together talented people to create a great applied machine learning team is no small feat. With developers and data scientists both contributing expertise in their respective fields, communication alone can be a challenge. Agile Machine Learning teaches you how to deliver superior data products through agile processes and to learn, by example, how to organize and manage a fast-paced team challenged with solving novel data problems at scale, in a production environment. The authors' approach models the ground-breaking engineering principles described in the Agile Manifesto. The book provides further context, and contrasts the original principles with the requirements of systems that deliver a data product. What You'll Learn Effectively run a data engineering team that is metrics-focused, experiment-focused, and data-focused Make sound implementation and model exploration decisions based on the data and the metrics Know the importance of data wallowing: analyzing data in real time in a group setting Recognize the value of always being able to measure your current state objectively Understand data literacy, a key attribute of a reliable data engineer, from definitions to expectations Who This Book Is For Anyone who manages a machine learning team, or is responsible for creating production-ready inference components. Anyone responsible for data project workflow of sampling data; labeling, training, testing, improving, and maintaining models; and system and data metrics will also find this book useful. Readers should be familiar with software engineering and understand the basics of machine learning and working with data.

Happening 2 - Design for Events (Hardcover): Jeanne Tan, Ana Martins, Matthew Hurst Happening 2 - Design for Events (Hardcover)
Jeanne Tan, Ana Martins, Matthew Hurst
R1,820 R1,436 Discovery Miles 14 360 Save R384 (21%) Out of stock

Happenings are very much still happening - more than enough reason to launch a sequel to our first event-themed title. In the age of social media, the event is becoming a mass-marketing campaign that targets a global audience. And its reach is far greater if it's both memorable and photogenic. Happening 2 covers over 60 stunning spectacles - from fashion shows to festivals and exhibitions to exclusive product launches - that leave lasting impressions. Events offer designers the perfect testing ground; they are ideal opportunities to experiment with spatial perception and sensory experiences. Happening 2 travels the globe to cover memorable moments by the likes of Bureau Betak, Bompas & Parr, MVRDV, Snarkitecture and TeamLab, revealing how the designers translated their concepts from page to platform. The event industry monumentalizes the fleeting, and Happening 2 does the same.

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