Book
Authors: David Tan, Ada LeungÌý²¹²Ô»å David CollsÌý
Deliver exceptional machine learning solutions rapidly
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Demand for machine learning (ML) solutions has grown significantly in recent years. But they are complex products that require a specific way of working.
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This book explains and demonstrates how to develop and run teams that can deliver machine learning solutions rapidly. David Tan, Ada Leung and Dave Colls build on their collective experience working on machine learning projects to provide you with insight and guidance that is immediately actionable.
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Bridging the gaps between software engineering, Lean product practices and machine learning models, Effective Machine Learning Teams is an essential guide for practitioners who want to gain a greater understanding of how to actually deliver machine learning-backed products.
Apply MLOps and CI/CD practices to accelerate development and ensure quality.
Build team structures that reduce cognitive load and enable teams to work at their best together.
Build products users need by learning to apply Lean principles to machine learning development.
Read a free chapter
Take a look inside Effective Machine Learning Teams using the reader on the left.
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Order your copy of online today or access it via the O'Reilly website.ÌýFor a sneak peek of the book in PDF, download the preface.Ìý
About the authors
Ada Leung
Senior Business Analyst, APAC, ºÚÁÏÃÅAda has more than five years of technology delivery experience across several industries. Her experience includes breaking down complex problems in varying domains, including customer facing applications, scaling of ML solutions, data strategy and experimentation, and, more recently, delivery of data platforms and large scale data migrations. She has been part of exemplar cross-functional delivery teams, both in-person and remotely, and is an advocate of cultivation as a way to build high performing teams.
David Tan
Lead ML Engineer, APAC, ºÚÁÏÃÅDavid is a lead ML engineer with more than six years of experience in practicing Lean engineering in the field of data and AI across various sectors such as real estate, government services and retail.ÌýDavid is passionate about engineering effectiveness and knowledge sharing, and has also spoken at several conferences on how teams can adopt Lean and continuous delivery practices to effectively and responsibly deliver AI-powered products across diverse industries.
David Colls
Director, Data & AI Practice, APAC, ºÚÁÏÃÅDavid is a technology leader with broad experience helping software and data teams deliver great results. David's technical background is in engineering design, simulation, optimization and large-scale data-processing software. At ºÚÁÏÃÅ, he has led numerous agile and lean transformation projects. Most recently he established the Data and AI practice in Australia. In his practice leadership role, he develops new ML services, consults on ML strategy and provides leadership to the delivery of ML initiatives.
