Digital List Price: CDN$ 49.99
Kindle Price: CDN$ 39.99

Save CDN$ 10.00 (20%)

includes free international wireless delivery via Amazon Whispernet

These promotions will be applied to this item:

Kindle app logo image

Download the free Kindle app and start reading Kindle books instantly on your smartphone, tablet or computer – no Kindle device required. Learn more

Read instantly on your browser with Kindle for Web.

Using your mobile phone camera, scan the code below and download the Kindle app.

QR code to download the Kindle app

Praktische Statistik für Data Scientists: 50+ essenzielle Konzepte mit R und Python (Animals) (German Edition) by [Peter Bruce, Andrew Bruce, Peter Gedeck, Marcus Fraaß]

Follow the Author

Something went wrong. Please try your request again later.

Praktische Statistik für Data Scientists: 50+ essenzielle Konzepte mit R und Python (Animals) (German Edition) Kindle Edition

4.5 out of 5 stars 32 ratings

Amazon Price
New from Used from
Kindle Edition
$39.99
Due to its large file size, this book may take longer to download

Product details

  • ASIN ‏ : ‎ B093XT3FDH
  • Publisher ‏ : ‎ O'Reilly; Übersetzung der 2. edition (March 29 2021)
  • Language ‏ : ‎ German
  • File size ‏ : ‎ 26111 KB
  • Text-to-Speech ‏ : ‎ Enabled
  • Screen Reader ‏ : ‎ Supported
  • Enhanced typesetting ‏ : ‎ Enabled
  • X-Ray ‏ : ‎ Not Enabled
  • Word Wise ‏ : ‎ Not Enabled
  • Sticky notes ‏ : ‎ On Kindle Scribe
  • Print length ‏ : ‎ 377 pages
  • Customer Reviews:
    4.5 out of 5 stars 32 ratings

About the author

Follow authors to get new release updates, plus improved recommendations.
Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Dr. Peter Gedeck holds a Ph.D. in chemistry. He worked for twenty years as a computational chemist in drug discovery at Novartis in the United Kingdom, Switzerland, and Singapore. His research interests include the application of statistical and machine learning methods to problems in drug discovery. He is a scientist in the research informatics team at Collaborative Drug Discovery, which offers the pharmaceutical industry cloud-based software to manage the huge amount of data involved in the drug discovery process.

Peter’s specialty is the development of machine learning algorithms to predict biological and physicochemical properties of drug candidates. His scientific work is published in more than 50 peer reviewed articles.

Peter also teaches at University of Virginia's School of Data Science and gives a series of courses on Predictive Analytics at Statistics.com.

Customer reviews

4.5 out of 5 stars
4.5 out of 5
32 global ratings
5 star
61%
4 star
29%
3 star
10%
2 star 0% (0%) 0%
1 star 0% (0%) 0%

Top reviews from Canada

There are 0 reviews and 0 ratings from Canada

Top reviews from other countries

Amazon-Kunde
3.0 out of 5 stars Eingeknickte Ecke und Schwarz-weiß
Reviewed in Germany 🇩🇪 on December 3, 2021
Verified Purchase
One person found this helpful
Report abuse
Report an issue

Does this item contain inappropriate content?
Do you believe that this item violates a copyright?
Does this item contain quality or formatting issues?