Buy new:
FREE delivery February 9 - 17. Details
Usually ships within 4 to 5 days.
$$74.03 () Includes selected options. Includes initial monthly payment and selected options. Details
Initial payment breakdown
Shipping cost, delivery date and order total (including tax) shown at checkout.
Your transaction is secure
We work hard to protect your security and privacy. Our payment security system encrypts your information during transmission. We don’t share your credit card details with third-party sellers, and we don’t sell your information to others. Learn more
Ships from United Kingdom and sold by Book Depository CA.
Have one to sell?
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

Flip to back Flip to front
Listen Playing... Paused   You're listening to a sample of the Audible audio edition.
Learn more

Follow the Author

Something went wrong. Please try your request again later.

Praktische Statistik für Data Scientists: 50+ essenzielle Konzepte mit R und Python Paperback

4.5 out of 5 stars 32 ratings

Amazon Price
New from Used from
Kindle Edition

Enhance your purchase

Product details

  • Language ‏ : ‎ German
  • ISBN-10 ‏ : ‎ 3960091532
  • ISBN-13 ‏ : ‎ 978-3960091530
  • Item weight ‏ : ‎ 685 g
  • Dimensions ‏ : ‎ 16.7 x 2.5 x 23.3 cm
  • 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

Customer reviews

4.5 out of 5 stars
4.5 out of 5
32 global ratings
5 star
4 star
3 star
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

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