Hurst Eric (30 results)

Condition: Acceptable. paperback 100% of proceeds go to charity! Acceptable reading copy with obvious signs of use, wear, and/or cosmetic issues. Item is complete and remains readable despite notable condition issues.

paperback. Condition: Very Good. Lian Hurst Mann;Geoff Ray (illustrator). A used book with minor shelf wear and imperfections. Photos and additional details upon request. Thank you for supporting Last Word Books and independent bookstores.

Paperback. Condition: Very Good.

Paperback. Condition: Good. No Jacket. Lian Hurst Mann;Geoff Ray (illustrator). Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Condition: Good. Lian Hurst Mann;Geoff Ray (illustrator). Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.

paperback. Condition: Very Good. Lian Hurst Mann;Geoff Ray (illustrator). Signed. Signed with a short inscription/note from the author. The copy shows light wear, but is in otherwise good conditon.

hardcover. Condition: Very Good. . Posted within 1 working day. 1st class tracked post to the UK, Airmail with tracking worldwide. Robust recyclable packaging. Picture is the actual item.

hardcover. Condition: Good. No dust jacket. Good hardcover with some shelfwear; may have previous owner's name inside. Standard-sized.

Soft cover. Condition: Very Good. Lian Hurst Mann;Geoff Ray (illustrator). 1st Edition. 8vo, card covers, 245pp. First printing. Inscribed by Mann in 2003. VG+: a clean, bright and sound copy. Signed by Author(s).

Paperback. Condition: Like New. Lian Hurst Mann;Geoff Ray (illustrator). Signed by author with an inscription.

Condition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

No Binding. Condition: VGF. This is an original vintage print trade ad that measures approximately 8 1/2 x 11 and is in VG or better condition. Ideal for framing, this ad comes protected in a plastic sleeve and backer and is shipped first class mail in a cardboard mailer. We combine shipping with multiple ads shipping at no additional charge. Size: 8" x 11". Photographic Image.

Paperback. Condition: Fine. xiv + 216pp, illustrated, detailed history of this hamlet close to Droitwich in Worcestershire ; Quarto.

Condition: New.

Hardcover. Condition: Good. No Jacket. First Edition. A Nice Solid Book, Previous Owner's Signature On The Ffep And A Few Handling Marks Otherwise Very Clean.The Harris Foundation Lecturesfine Cracking Along The Gutter At The Half Tite Page But Binding Still Intact. Sandy Red Cloth Covered Boards With Dulled Gilt Title On The Spine. A Few Handling Marks On The Boards And Only Minor Bumping To Spine Ends And Free Corners.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: New. 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 LearnEffectively run a data engineeringteam that is metrics-focused, experiment-focused, and data-focusedMake sound implementation and model exploration decisions based on the data and the metricsKnow the importance of data wallowing: analyzing data in real time in a group settingRecognize the value of always being able to measure your current state objectivelyUnderstand data literacy, a key attribute of a reliable data engineer, from definitions to expectationsWho This Book Is ForAnyone 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.

Paperback. Condition: New. 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 LearnEffectively run a data engineeringteam that is metrics-focused, experiment-focused, and data-focusedMake sound implementation and model exploration decisions based on the data and the metricsKnow the importance of data wallowing: analyzing data in real time in a group settingRecognize the value of always being able to measure your current state objectivelyUnderstand data literacy, a key attribute of a reliable data engineer, from definitions to expectationsWho This Book Is ForAnyone 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.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New. In.

Paperback. Condition: Brand New. 248 pages. 9.75x7.00x0.75 inches. In Stock.

Paperback. Condition: New. 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 LearnEffectively run a data engineeringteam that is metrics-focused, experiment-focused, and data-focusedMake sound implementation and model exploration decisions based on the data and the metricsKnow the importance of data wallowing: analyzing data in real time in a group settingRecognize the value of always being able to measure your current state objectivelyUnderstand data literacy, a key attribute of a reliable data engineer, from definitions to expectationsWho This Book Is ForAnyone 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.

Condition: New. 1st ed. edition NO-PA16APR2015-KAP.

Paperback. Condition: New. 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 LearnEffectively run a data engineeringteam that is metrics-focused, experiment-focused, and data-focusedMake sound implementation and model exploration decisions based on the data and the metricsKnow the importance of data wallowing: analyzing data in real time in a group settingRecognize the value of always being able to measure your current state objectivelyUnderstand data literacy, a key attribute of a reliable data engineer, from definitions to expectationsWho This Book Is ForAnyone 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.

Paperback. Condition: New.

Hardcover. Condition: New.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Intermediate user level|Authors have proven real-world experience with numerous big data projects coordinated across distributed teams for multiple Microsoft marketsTeaches you how to manage projects involving machine learning more effectively in .

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.