Matthew Hurst

Evan Jehl

Angel Trinidad

Unveiling show-stopping hospitality interiors from across the globe, as an overview of design trends for bars, restaurants and hotels. As much of a barometer of design as its successful predecessors, Night Fever 5 is a global overview of the prevailing trends in hospitality design. The luxurious volume consists of three chapters; the first covers bars and clubs, the second features restaurants, and the third is devoted to hotel interiors. This book offers readers 100+ fresh and exciting projects featured on a total of 496 pages. Interiors are featured on 2 to 8 pages that are filled with photos, drawings, sketches, floor plans and of course a description of the design. Projects are selected based on their original concept, creativity, innovative approach or the project’s unmistakable wow-factor. An extensive index at the back of the book describes each featured design studio including their contact details and the addresses of each venue they have designed.

Hospitality Design

Night Fever 5

Eric Carter

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.

Effective Machine Learning Inspired by the Agile Manifesto

Agile Machine Learning

David Keuning

Kanae Hasegawa

Lilia Glanzmann

Leo Gullbring

Monica Zerboni

Izabela Anna Moren

Jill Diane Pope

Anna Sansom

Jeannette Petrik

Shonquis Moreno

Enya Moore

Floor Kuitert

Jeroen Junte

Melanie Mendelewitsch

Tim Groen

Penny Craswell

Inspirational interviews with 28 world-renowned designers and architects shed light on the experiences that have influenced their lives and work. The regular feature What I’ve Learned in Frame magazine opens the door for readers to discover more about their favourite designers and architects. In candid interviews, these individuals reflect on the path their careers have taken them and the industry at large, offering the reader the possibility to take a shortcut and learn from their experiences. Revisiting a selection of these interviews for compilation into this new book, What I’ve Learned includes new material and further insights. The book also features the most important projects or products with which these established creatives made their name, but in a personal way, with the intricacies of real-life woven in. The creative conversations illustrated in this title demonstrate the strengths and inspirational vision of personalities such as Tadao Ando, Jaime Hayon, Hella Jongerius, Daniel Libeskind, Bernard Tschumi and Patricia Urquiola. Features - What I’ve Learned is based on the eponymous section in Frame magazine. - Established designers and architects reflect on their lives, careers and the industry, with their stories presented in the first person. - The book shows not just portraits of the creatives but also an overview of their best work, and the challenges they face. - Featured are personalities such as Tadao Ando, Jaime Hayon, Hella Jongerius, Daniel Libeskind, Bernard Tschumi and Patricia Urquiola.

28 Creatives Share Career-defining Insights

What I’ve Learned

Matthew Hurst

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