Data Science in Chemistry (Large Language Models, Chemometrics, Predictive and Generative Design with Jupyter)
List Price:
$94.99
| Expected release date is Nov 2nd 2026 |
- Availability: Confirm prior to ordering
- Branding: minimum 50 pieces (add’l costs below)
- Check Freight Rates (branded products only)
Branding Options (v), Availability & Lead Times
- 1-Color Imprint: $2.00 ea.
- Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
- Belly-Band Wrap: $2.50 ea. (full-color printed)
- Set-Up Charge: $45 per decoration
- Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
- Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
- Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
- RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
Product Details
Author:
Thorsten Gressling
Format:
Paperback
Pages:
520
Publisher:
De Gruyter (November 2, 2026)
Imprint:
De Gruyter
Release Date:
November 2, 2026
Language:
English
Audience:
College/higher education
ISBN-13:
9783111537436
ISBN-10:
3111537439
Weight:
16oz
Dimensions:
6.69" x 9.45"
File:
TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20260705163306-20260705.xml
Folder:
TWO RIVERS
List Price:
$94.99
Country of Origin:
Germany
Series:
De Gruyter Textbook
As low as:
$73.14
Publisher Identifier:
P-PER
Discount Code:
A
Overview
The ever-growing wealth of information has led to the emergence of a fourth paradigm of science. This new field of activity – data science – includes computer science, mathematics and a given specialist domain. This book focuses on chemistry and the use of data science for deep insights taking chemical research and engineering to the next level. It covers Big Data, Artificial Intelligence and new to this edition: Large Language Models.
