Data Science: Mindset, Methodologies, and Misconceptions Contributor(s): Voulgaris, Zacharias (Author) |
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ISBN: 1634622561 ISBN-13: 9781634622561 Publisher: Technics Publications
WE WILL NOT BE UNDERSOLD! Click here for our low price guarantee Binding Type: Paperback - See All Available Formats & Editions Published: August 2017 |
Additional Information |
BISAC Categories: - Computers | Data Visualization - Computers | Databases - Data Mining - Business & Economics | Statistics |
LCCN: 2017949255 |
Physical Information: 0.44" H x 7.5" W x 9.25" L (0.80 lbs) 206 pages |
Features: Index |
Descriptions, Reviews, Etc. |
Publisher Description: Master the concepts and strategies underlying success and progress in data science. From the author of the bestsellers, Data Scientist and Julia for Data Science, this book covers four foundational areas of data science. The first area is the data science pipeline including methodologies and the data scientist's toolbox. The second are essential practices needed in understanding the data including questions and hypotheses. The third are pitfalls to avoid in the data science process. The fourth is an awareness of future trends and how modern technologies like Artificial Intelligence (AI) fit into the data science framework. The following chapters cover these four foundational areas:
Targeted towards data science learners of all levels, this book aims to help the reader go beyond data science techniques and obtain a more holistic and deeper understanding of what data science entails. With a focus on the problems data science tries to solve, this book challenges the reader to become a self-sufficient player in the field. |
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