Statistics for Data Scientists / Undergraduate Topics in Computer Science (PDF)

Name: Statistics for Data Scientists / Undergraduate Topics in Computer Science
Brand: Springer International Publishing
SKU: 141986141
Price: 49.49 EUR
Availability: OnlineOnly

An Introduction to Probability, Statistics, and Data Analysis (Sprache: Englisch)

Autoren: Maurits Kaptein , Edwin van den Heuvel

Schreiben Sie einen Kommentar zu "Statistics for Data Scientists / Undergraduate Topics in Computer Science".

Statistics for Data Scientists / Undergraduate Topics in Computer Science, Maurits Kaptein, Edwin van den Heuvel

Merken

This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis - supported by numerous real data examples and...

Mehr zum Inhalt Autorenporträt Video

eBook (pdf) 49.49 €

Buch (Kartoniert) 49.49 €

sofort als Download lieferbar

Bestellnummer: 141986141

eBook (pdf) 49.49 €

Download bestellen

Verschenken

Lastschrift, Kreditkarte, Paypal, Rechnung
Kostenloser tolino webreader

Produktdetails

Produktbeschreibung
Autorenporträt
eBook Hilfe
Biblio. Angaben / Produktdetails

Produktinformationen zu „Statistics for Data Scientists / Undergraduate Topics in Computer Science (PDF)“

Where contemporary undergraduate textbooks in probability theory or statistics often miss applications and an introductory treatment of modern methods (bootstrapping, Bayes, etc.), and where applied data analysis books often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical methods combining the two viewpoints. The book further focuses on methods for dealing with large data-sets and streaming-data and hence provides a single-course introduction of statistical methods for data science.

Autoren-Porträt von Maurits Kaptein, Edwin van den Heuvel

Prof. Dr. Maurits Kaptein works on statistical methods for sequential experimentation. He has extensive experience in research and education in the fields of statistics, machine learning, and research methodology. Maurits works for the Jheronimus Academy of Data Science and for the University of Tilburg. His work has been published in influential journals such as Bayesian Analysis and the Journal of Interactive Marketing.

Prof. Dr. Edwin van den Heuvel works on statistical methods for analyzing cross-sectional and longitudinal data from experimental and observational studies in the domain of health and life sciences. He has been teaching many different topics on statistics to (PhD, master, and bachelor) students from different backgrounds (medicine, engineering, mathematics, etc.) He is full-time professor in statistics at Eindhoven University of Technology and has affiliations at other universities. He publishes mostly in peer-reviewed influential statistical, epidemiological, and medical journals.