標題: Titlebook: Machine Learning Governance for Managers; Francesca Lazzeri,Alexei Robsky Book 2024 The Editor(s) (if applicable) and The Author(s), under [打印本頁] 作者: 管玄樂團 時間: 2025-3-21 16:29
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作者: 食道 時間: 2025-3-21 20:51
Francesca Lazzeri,Alexei RobskyHelps data science managers to scale and become more data- and AI-driven.Helps break through the complexity and challenges of moving data science and machine learning projects to production.Helps orga作者: 光亮 時間: 2025-3-22 00:53
http://image.papertrans.cn/m/image/620400.jpg作者: Certainty 時間: 2025-3-22 07:25 作者: 種子 時間: 2025-3-22 11:25
Understanding Business Goals, a solid strategy to achieve those goals. However, it is very easy to drown in the weeds of metrics and goals and target everything and nothing all at once. Now, this is not to discourage and accuse leaders from establishing wrong goals, but more to provide a different view to measuring what is right.作者: 亂砍 時間: 2025-3-22 13:34 作者: coddle 時間: 2025-3-22 20:10 作者: Observe 時間: 2025-3-22 23:58
,Unifying Organizations’ Machine Learning Vision, operations of data science and machine learning becomes increasingly important. However, scaling data processing infrastructure is not as simple as adding more resources, and there are many challenges that arise when working with increased demand for insights and large datasets that constantly grow.作者: inchoate 時間: 2025-3-23 03:41 作者: 不要不誠實 時間: 2025-3-23 09:36 作者: 懶惰人民 時間: 2025-3-23 12:07
Operationalizing Your Machine Learning Solution,age this opportunity, companies must learn how to successfully build, train, test, and push hundreds of machine learning (ML) models in production and to move models from development to their production environment in ways that are robust, fast, and repeatable (Lazzeri 2022).作者: fibroblast 時間: 2025-3-23 16:08 作者: crescendo 時間: 2025-3-23 18:15
rau, aus feinen K?rnchen oder aus lauter Faserchen zusammengesetzt, endlich ohne diese besonderen Merkmale, fast sammetartig aussehend. Doch dies genügt uns noch nicht; wir nehmen ein Vergr??erungsglas oder, wenn m?glich, ein Mikroskop zu Hilfe und betrachten unsere Bruchfl?chen, die nun, je nach de作者: 有毒 時間: 2025-3-24 01:19
Francesca Lazzeri,Alexei Robskyrau, aus feinen K?rnchen oder aus lauter Faserchen zusammengesetzt, endlich ohne diese besonderen Merkmale, fast sammetartig aussehend. Doch dies genügt uns noch nicht; wir nehmen ein Vergr??erungsglas oder, wenn m?glich, ein Mikroskop zu Hilfe und betrachten unsere Bruchfl?chen, die nun, je nach de作者: biopsy 時間: 2025-3-24 04:52
Francesca Lazzeri,Alexei Robsky in mhd. Reimpaaren. An diese kirchlicherseits gepflegte Gnomontradition, die aus den Weisheitsbüchern des AT wie aus dem NT, den Apostelbriefen und der Patristik reichlich Spruchgut sch?pfen konnte, und an eine vorher nicht fixierte volkstümliche Spruchtradition scheint die Spruchdichtung Freidanks作者: arthroplasty 時間: 2025-3-24 07:36 作者: REP 時間: 2025-3-24 11:49
and assessing their causal business impact. By overcoming these challenges, bottom-line gains from AI investments can be realized...Organizations that implement all aspects of AI/ML model governance can achiev978-3-031-31804-7978-3-031-31805-4作者: BINGE 時間: 2025-3-24 18:02 作者: 延期 時間: 2025-3-24 20:17 作者: 注意力集中 時間: 2025-3-25 00:45 作者: 一加就噴出 時間: 2025-3-25 04:32 作者: 使聲音降低 時間: 2025-3-25 08:54 作者: Contracture 時間: 2025-3-25 13:46
Measuring What Is Relevant,onitoring, such as objectives and key result (OKR), on data science and machine learning efforts. In this chapter, we will go deeper into performance measurements and metrics and emphasize understanding second-level metrics.作者: declamation 時間: 2025-3-25 16:01
Searching for the Right Algorithms,chine learning (ML) techniques to optimize business metrics, pursue new opportunities, and grow revenues (Lazzeri 2019). Not only has data become more available, but there has also been an explosion of machine learning and artificial intelligence applications that enable companies to build sophistic作者: Culpable 時間: 2025-3-25 22:57
Operationalizing Your Machine Learning Solution,s that can predict and schedule equipment’s maintenance, to intelligent research and development (R&D) systems able to estimate the cost of new drug development, and use human resource (HR) AI-powered tools to enhance the hiring process and employee retention strategies. However, to be able to lever作者: BRAWL 時間: 2025-3-26 03:48
,Unifying Organizations’ Machine Learning Vision,r data processing and modeling infrastructure. As more and more data is generated every day by the various telemetry systems, the ability to scale the operations of data science and machine learning becomes increasingly important. However, scaling data processing infrastructure is not as simple as a作者: 者變 時間: 2025-3-26 08:00
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