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標(biāo)題: Titlebook: Agile Machine Learning; Effective Machine Le Eric Carter,Matthew Hurst Book 2019 Eric Carter, Matthew Hurst 2019 Agile Software Development [打印本頁]

作者: Radiofrequency    時間: 2025-3-21 18:02
書目名稱Agile Machine Learning影響因子(影響力)




書目名稱Agile Machine Learning影響因子(影響力)學(xué)科排名




書目名稱Agile Machine Learning網(wǎng)絡(luò)公開度




書目名稱Agile Machine Learning網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Agile Machine Learning被引頻次




書目名稱Agile Machine Learning被引頻次學(xué)科排名




書目名稱Agile Machine Learning年度引用




書目名稱Agile Machine Learning年度引用學(xué)科排名




書目名稱Agile Machine Learning讀者反饋




書目名稱Agile Machine Learning讀者反饋學(xué)科排名





作者: BRACE    時間: 2025-3-21 20:59

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作者: dissolution    時間: 2025-3-22 06:07

作者: farewell    時間: 2025-3-22 11:27

作者: Lumbar-Stenosis    時間: 2025-3-22 16:04
Robust State Estimation of Complex Systemsrns of data will inevitably be outsmarted by future attacks causing the system to become less effective. Ideas about what to do to solve a data problem change as the data is explored and analyzed. Customers can be fickle and change their mind about what they want and what features are most important
作者: 不理會    時間: 2025-3-22 19:47

作者: 腐爛    時間: 2025-3-22 23:48
https://doi.org/10.1007/978-3-319-56505-7opean markets attracting 19.6 million unique visitors per month in Europe by 2008. Microsoft purchased Ciao in 2008 to bolster its Bing search engine in Europe. Eric had the opportunity to work with the Ciao team as its new engineering manager after the Microsoft acquisition. What Eric observed was
作者: Stress-Fracture    時間: 2025-3-23 04:50

作者: 即席    時間: 2025-3-23 05:51

作者: 滲透    時間: 2025-3-23 13:32
Bill Green,Marie Brennan,Philip Robertshe pursuit of a specific goal. Usain Bolt running 100 meters in 9.58 seconds is impressive, but it isn’t an expression of agility. Lionel Messi, on the other hand, weaving in and out of a lattice of defenders while keeping the soccer ball constantly under his influence is more like it. Agility requi
作者: 和平主義    時間: 2025-3-23 14:00

作者: Graves’-disease    時間: 2025-3-23 21:19
Curriculum–, and ,: A Language for Teaching?xperienced at the top and rarely by those executing the actual work at the bottom. There is nothing too mystical about this principle?– on agile teams, the low-latency communication within the team combined with the license to experiment, make mistakes, and course correct allows the design of compon
作者: output    時間: 2025-3-24 00:05

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作者: Intruder    時間: 2025-3-24 08:21
https://doi.org/10.1007/978-1-4842-5107-2Agile Software Development; Machine Learning; Data and Analytics; Machine Learning Best Practices; Big D
作者: deforestation    時間: 2025-3-24 12:35

作者: 菊花    時間: 2025-3-24 16:03
Foundations and Development of Curriculum,There is no shortage of topics to discuss in a data engineering team:
作者: 聯(lián)合    時間: 2025-3-24 19:26

作者: FRAX-tool    時間: 2025-3-25 00:49
Kevin Lowe,Nikki Moodie,Sara WeuffenWe’ve talked about several mechanisms in this book for looking back and reflecting on past progress with an aim to becoming more effective as individuals, managers, and teams. To recap those mechanisms, they include ., ., ., ., and
作者: 報復(fù)    時間: 2025-3-25 06:19
Critical Thinking for an Engaged UniversityWhat follows are the principles of the Agile Manifesto (agilemanifesto.org/principles) with our suggested modifications for Agile machine learning teams underlined. We also repeat the recap for each chapter.
作者: 腐敗    時間: 2025-3-25 08:22

作者: PUT    時間: 2025-3-25 15:26

作者: Blemish    時間: 2025-3-25 18:22
Tuning and Adjusting,We’ve talked about several mechanisms in this book for looking back and reflecting on past progress with an aim to becoming more effective as individuals, managers, and teams. To recap those mechanisms, they include ., ., ., ., and
作者: Lament    時間: 2025-3-25 22:49

作者: AND    時間: 2025-3-26 03:36
Early Delivery,ns, and biases?– the data. To successfully execute a project that delivers value through inference over data sets, a novel set of skills, processes, and best practices need to be adopted. In this chapter, we look at the initial stages of a project and how we can make meaningful progress through thes
作者: 合唱隊    時間: 2025-3-26 07:46
Changing Requirements,rns of data will inevitably be outsmarted by future attacks causing the system to become less effective. Ideas about what to do to solve a data problem change as the data is explored and analyzed. Customers can be fickle and change their mind about what they want and what features are most important
作者: 感染    時間: 2025-3-26 09:23

作者: Gullible    時間: 2025-3-26 12:38
Aligning with the Business,opean markets attracting 19.6 million unique visitors per month in Europe by 2008. Microsoft purchased Ciao in 2008 to bolster its Bing search engine in Europe. Eric had the opportunity to work with the Ciao team as its new engineering manager after the Microsoft acquisition. What Eric observed was
作者: 委屈    時間: 2025-3-26 19:49
Motivated Individuals,iocre results. Several individuals that worked with that conflation engine day in and day out felt there was a better way to do conflation. The existing conflation system had become a bug farm and required a lot of work to keep it working. The new proposed approach seemed promising, but the challeng
作者: 幻想    時間: 2025-3-27 00:22
Monitoring,are is being delivered not just frequently but continuously. The authors of the agile manifesto clearly point out in this principle that having actual working software is much more valuable than say having a lot of documents that describe some software system that still hasn’t been integrated enough
作者: 圍巾    時間: 2025-3-27 01:09

作者: Conflagration    時間: 2025-3-27 08:23
Simplicity,written, a number of innovations were starting to get traction in the development community, including eXtreme programming and Scrum, while various existing methods, such as Kanban, were being applied to the new faster-paced world of software development. Agile methods move the focus of problem solv
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作者: 編輯才信任    時間: 2025-3-27 21:01

作者: 斜    時間: 2025-3-28 00:06

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作者: Processes    時間: 2025-3-28 10:15
Technical Excellence,is bootlaces undone); it requires the mobility, or dexterity, to manipulate the environment or change course while maintaining stability; it requires the awareness and presence of mind to read the shifting terrain and environment in real time to anticipate and adjust without missing a step.
作者: 防止    時間: 2025-3-28 12:57
Self-Organizing Teams,n’t as apparent to management, although the techniques discussed in Chapter .: Aligning with the Business go a long way toward helping management regain the warm feelings they lost when waterfall went away.
作者: Inflated    時間: 2025-3-28 15:48
Book 2019nging 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 produ
作者: Oversee    時間: 2025-3-28 22:28
s.Teaches you how to manage projects involving machine learn.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
作者: 使閉塞    時間: 2025-3-28 23:46
Virtual Production of Filaments and Fleecesnd best practices need to be adopted. In this chapter, we look at the initial stages of a project and how we can make meaningful progress through these unknowns while engaging the customer and continuously improving our understanding of the data, its value, and the implications it holds for system design.
作者: commute    時間: 2025-3-29 03:44

作者: Amendment    時間: 2025-3-29 11:14
https://doi.org/10.1007/978-3-319-56505-7ng conflation system had become a bug farm and required a lot of work to keep it working. The new proposed approach seemed promising, but the challenge was to find time to build something new while continuing to “keep the lights on” in the old system.
作者: 規(guī)范要多    時間: 2025-3-29 13:59

作者: 量被毀壞    時間: 2025-3-29 16:00
Continuous Delivery,s”?– we believe it is important to deliver working software and data continuously. Our rewrite of this principle would be “Deliver working software and accurate data continuously.” On any given day, the team should have software and data available that effectively represents the incremental work done on the previous day.
作者: UTTER    時間: 2025-3-29 22:23

作者: HACK    時間: 2025-3-30 00:59
https://doi.org/10.1007/978-3-319-56505-7a development team that was extremely well aligned with the business?– more aligned than he had observed most Microsoft teams to be in his prior work. There were many factors that allowed for this high degree of alignment. In this chapter, we will examine several of these factors that allowed Ciao to be successful.
作者: 迎合    時間: 2025-3-30 04:53

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10樓
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10樓




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