|
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
|
Buy Now
Applied Data Science - Lessons Learned for the Data-Driven Business (Hardcover, 1st ed. 2019)
Loot Price: R4,700
Discovery Miles 47 000
|
|
|
Applied Data Science - Lessons Learned for the Data-Driven Business (Hardcover, 1st ed. 2019)
Expected to ship within 12 - 17 working days
|
This book has two main goals: to define data science through the
work of data scientists and their results, namely data products,
while simultaneously providing the reader with relevant lessons
learned from applied data science projects at the intersection of
academia and industry. As such, it is not a replacement for a
classical textbook (i.e., it does not elaborate on fundamentals of
methods and principles described elsewhere), but systematically
highlights the connection between theory, on the one hand, and its
application in specific use cases, on the other. With these goals
in mind, the book is divided into three parts: Part I pays tribute
to the interdisciplinary nature of data science and provides a
common understanding of data science terminology for readers with
different backgrounds. These six chapters are geared towards
drawing a consistent picture of data science and were predominantly
written by the editors themselves. Part II then broadens the
spectrum by presenting views and insights from diverse authors -
some from academia and some from industry, ranging from financial
to health and from manufacturing to e-commerce. Each of these
chapters describes a fundamental principle, method or tool in data
science by analyzing specific use cases and drawing concrete
conclusions from them. The case studies presented, and the methods
and tools applied, represent the nuts and bolts of data science.
Finally, Part III was again written from the perspective of the
editors and summarizes the lessons learned that have been distilled
from the case studies in Part II. The section can be viewed as a
meta-study on data science across a broad range of domains,
viewpoints and fields. Moreover, it provides answers to the
question of what the mission-critical factors for success in
different data science undertakings are. The book targets
professionals as well as students of data science: first,
practicing data scientists in industry and academia who want to
broaden their scope and expand their knowledge by drawing on the
authors' combined experience. Second, decision makers in businesses
who face the challenge of creating or implementing a data-driven
strategy and who want to learn from success stories spanning a
range of industries. Third, students of data science who want to
understand both the theoretical and practical aspects of data
science, vetted by real-world case studies at the intersection of
academia and industry.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
You might also like..
|
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
