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Details for:
Dubovikov K. Managing Data Science...2019
dubovikov k managing data science 2019
Type:
E-books
Files:
1
Size:
11.9 MB
Uploaded On:
Nov. 14, 2019, 12:29 p.m.
Added By:
andryold1
Seeders:
1
Leechers:
0
Info Hash:
B61026C7CB930828A181D62F489BA08D52F7B816
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Textbook in PDF format Key Features Learn the basics of data science and explore its challenges, possibilities, and limitations. Manage data science projects and assemble teams to deal with situations of extreme uncertainty. Learn management principles and approaches for data science projects to create better innovation process. Book Description Data Science and Machine Learning can transform any organization and open new opportunities. A substantial managerial effort is needed to guide the solution from prototype development to production. Traditional approaches often fail as they have different conditions and requirements in mind. This book presents an approach to a data science project management, with tips and best practices to guide you along the way. With the help of this book, you will understand the practical applications of data science and AI to incorporate them into your solutions. You will go through the data science project life-cycle, explore the common pitfalls encountered at each step, and learn how to avoid them. Any data science project requires a balanced skillful team, and this book will present advice for hiring and growing a data science team for your organization. The book also shows you how to efficiently manage and improve your data science projects through the use of DevOps and ModelOps. By the end of the book, the readers will have the practical knowledge to tackle various challenges they deal on a daily basis and will have an understanding of various data science solutions. What you will learn Understand the underlying problems of building a strong data science pipeline. Learn the different tools to build and deploy data science solutions. Hire, grow, and sustain an efficient data science team. Manage data science projects through all stages from prototype to production. Learn how to use ModelOps for improving data science projects. Master the model testing techniques used in both development and production stages. Who This Book Is For The book is intended to data scientists, analysts, as well as program managers who want to bring more productivity to their organization and improve their business by incorporating data science workflows efficiently. Some understanding of the basic data science concepts will be useful
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Dubovikov K. Managing Data Science...2019.pdf
11.9 MB
