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Titlebook: Building an Effective Data Science Practice; A Framework to Boots Vineet Raina,Srinath Krishnamurthy Book 2022 Vineet Raina and Srinath Kri

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發(fā)表于 2025-3-21 17:18:38 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Building an Effective Data Science Practice
期刊簡稱A Framework to Boots
影響因子2023Vineet Raina,Srinath Krishnamurthy
視頻videohttp://file.papertrans.cn/192/191844/191844.mp4
發(fā)行地址Complete guide from the ground-up to building an effective data science practice.Lays out a reference architecture that can help ensure your data science team is productive.Builds the necessary intuit
圖書封面Titlebook: Building an Effective Data Science Practice; A Framework to Boots Vineet Raina,Srinath Krishnamurthy Book 2022 Vineet Raina and Srinath Kri
影響因子.Gain a deep understanding of data science and the thought process needed to solve problems in that field using the required techniques, technologies and skills that go into forming an interdisciplinary team. This book will enable you to set up an effective team of engineers, data scientists, analysts, and other stakeholders that can collaborate effectively on crucial aspects such as problem formulation, execution of experiments, and model performance evaluation..You’ll start by delving into the fundamentals of data science – classes of data science problems, data science techniques and their applications – and gradually build up to building a professional reference operating model for a data science function in an organization. This operating model covers the roles and skills required in a team, the techniques and technologies they use, and the best practices typically followed in executing data science projects..Building an Effective Data Science Practice.?provides a common base of reference knowledge and solutions, and addresses the kinds of challenges that arise to ensure your data science team is both productive and aligned with the business goals from the very start. Reinforc
Pindex Book 2022
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Anomaly Detectiongs that are rarely seen; an unheard-of combination of symptoms/test readings, or a rare pattern in a medical image such as a CT scan; and network traffic in an IT system that is unusual, these are a few cases that tend to raise attention. Detecting any abnormal occurrences in the data is referred to
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Sequential Decision-Makingwith a view to gaining a desired outcome in the longer run. The “desired outcome” can take various forms – maximizing profits/rewards (e.g., in an investment strategy), maximizing the chances to realize a targeted goal (e.g., winning in a competition such as chess), or saving patients with life-thre
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Machine Learning dedicated to the ML algorithms/techniques you can use to build models and libraries that implement these algorithms. Awareness of different ML algorithms and an intuitive understanding of the underlying concepts is crucial for the success of the entire data science process. We will start with a gen
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