Introduction to Principles of Data Science - Nanjundan, Preethi;George, Jossy P
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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…mehr

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Produktbeschreibung
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.
Autorenporträt
Dr.Preethi. N é Professor Associado em Cristo (Deemed to be University) , campus de Lavasa, Pune. Os seus interesses de investigação são a aprendizagem de máquinas, aprendizagem profunda, etc.A Dra. (Fr) Jossy P George tem trabalhado com a Universidade de Cristo, Bengaluru, e actualmente é Directora e Reitora no Campus de Pune Lavasa, com dupla licenciatura dos EUA.