Machine Learning and Big Data-enabled Biotechnology -
-25% koodilla BOOKS
Toimitus 10-16 arkipäivässä
30 päivän palautusoikeus
Enables researchers and engineers to gain insights into the capabilities of machine learning approaches to power applications in their fields Machine Learning and Big Data-enabled Biotechnology discusses how machine learning and big data can be used in biotechnology for a wide breadth of topics, providing tools essential to support efforts in process control, reactor performance evaluation, and research tar ... Täydellinen kuvaus
Saatat myös pitää
TOP
INCOSE Systems Engineering Handbook
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
If Anyone Builds It, Everyone Dies: The Case Against Superintelligent AI
Eliezer Yudkowsky, Nate Soares
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Open Circuits: The Inner Beauty of Electronic Components
Eric Schlaepfer, Windell Oskay
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Get started with MicroPython on Raspberry Pi Pico: The Official Raspberry Pi Pico Guide
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Practical Electronics for Inventors
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Nucleo Boards Programming with the STM32CubeIDE: Hands-on in more than 50 projects
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
Steven L. Brunton, J. Nathan Kutz
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Fundamentals of Aerodynamics ISE
Christopher Cadou, John D. Anderson
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Black Holes: The Key to Understanding the Universe
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
KiCad Like A Pro - Fundamentals and Projects: Getting started with the world's best open-source PCB tool
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
How To Read Water: Clues & Patterns from Puddles to the Sea
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Foundations of Flavor: The Noma Guide to Fermentation: Including Step-By-Step Information on Making and Cooking with: Koji, Kombuchas, Shoyus, Misos, Vinegars, Garums, Lacto-Ferments and black Fruits Vegetables
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Make: Electronics: Learning by Discovery: A hands-on primer for the new electronics enthusiast
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Idea Factory: Bell Labs and the Great Age of American Innovation
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Flowers For Algernon: A Modern Literary Classic
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Professional SMD Assembly: Practical Low-Cost Methods for Reliable PCB Production
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Blood in the Machine: The Origins of the Rebellion Against Big Tech
-25% koodilla BOOKS
Toimittajalla varastossa
Kuvaus
Enables researchers and engineers to gain insights into the capabilities of machine learning approaches to power applications in their fields
Machine Learning and Big Data-enabled Biotechnology discusses how machine learning and big data can be used in biotechnology for a wide breadth of topics, providing tools essential to support efforts in process control, reactor performance evaluation, and research target identification.
Topics explored in Machine Learning and Big Data-enabled Biotechnology include:
- Deep learning approaches for synthetic biology part design and automated approaches for GSM development from DNA sequences
- De novo protein structure and design tools, pathway discovery and retrobiosynthesis, enzyme functional classifications, and proteomics machine learning approaches
- Metabolomics big data approaches, metabolic production, strain engineering, flux design, and use of generative AI and natural language processing for cell models
- Automated function and learning in biofoundries and strain designs
- Machine learning predictions of phenotype and bioreactor performance
Machine Learning and Big Data-enabled Biotechnology earns a well-deserved spot on the bookshelves of reaction, process, catalytic, and environmental engineers seeking to explore the vast opportunities presented by rapidly developing technologies.
Lisätietoja
| Julkaisija | Wiley-VCH GmbH |
|---|---|
| Julkaisuvuosi | 2026 |
| Kannen tyyppi | Kovakantinen |
| EAN | 9783527354740 |