Introduction Principles Data Science by Nanjundan Preethi (6 results)

Taschenbuch. Condition: Neu. Introduction to Principles of Data Science | Data Science | Preethi Nanjundan (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206142508 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Business and technical leaders will discover how to measure their organization's data science maturity and determine whether it is data-driven. They will also learn how to apply the Healthy Data Science Organization Framework to foster a healthy data science attitude within the organization through practical and applied use cases. This framework was developed based on my experience as a data scientist working on end-to-end machine learning and data science solutions with external customers from a variety of industries, including energy, oil and gas, retail, aerospace, healthcare, and professional services. The framework offers a lifecycle to help you organize how your data science projects are developed. A project's lifespan illustrates what happens from beginning to end when it is completed. 116 pp. Englisch.

Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Business and technical leaders will discover how to measure their organization s data science maturity and determine whether it is data-driven. They will also learn how to apply the Healthy Data Science Organization Framework to foster a healthy data scienc.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Business and technical leaders will discover how to measure their organization's data science maturity and determine whether it is data-driven. They will also learn how to apply the Healthy Data Science Organization Framework to foster a healthy data science attitude within the organization through practical and applied use cases. This framework was developed based on my experience as a data scientist working on end-to-end machine learning and data science solutions with external customers from a variety of industries, including energy, oil and gas, retail, aerospace, healthcare, and professional services. The framework offers a lifecycle to help you organize how your data science projects are developed. A project's lifespan illustrates what happens from beginning to end when it is completed.Books on Demand GmbH, Überseering 33, 22297 Hamburg 116 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Business and technical leaders will discover how to measure their organization's data science maturity and determine whether it is data-driven. They will also learn how to apply the Healthy Data Science Organization Framework to foster a healthy data science attitude within the organization through practical and applied use cases. This framework was developed based on my experience as a data scientist working on end-to-end machine learning and data science solutions with external customers from a variety of industries, including energy, oil and gas, retail, aerospace, healthcare, and professional services. The framework offers a lifecycle to help you organize how your data science projects are developed. A project's lifespan illustrates what happens from beginning to end when it is completed.