Sonntag, 3. Februar 2019

Buchempfehlungen

1. Titel: Big Data Analytics: A Management Perspective
Autor: Francesco Corea
Springer, 2016
http://www.springer.com/de/book/9783319389912


2. Titel: Data Science Foundations: Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics
Autor: Fionn Murtagh
CRC Press, 2018
https://www.crcpress.com/Data-Science-Foundations-Geometry-and-Topology-of-Complex-Hierarchic-Systems/Murtagh/p/book/9781498763936

3. Titel: Theory of Stochastic Objects: Probability, Stochastic Processes and Inference
Autor: Athanasios Christou Micheas
CRC Press, 2018
Link: https://www.crcpress.com/Theory-of-Stochastic-Objects-Probability-Stochastic-Processes-and-Inference/Micheas/p/book/9781466515208


4. Titel: Think Like a Data Scientist. Tackle the data science process step-by-step
Autor: Brian Godsey
Manning Publications, 2017
https://www.manning.com/books/think-like-a-data-scientist


5. Titel: The Data Science Design Manual
Autor: Steven S. Skiena
Springer, 2017
https://www.springer.com/de/book/9783319554433


6. Titel: The Data Science Handbook
Autor: Field Cady
John Wiley & Sons, 2017
https://www.wiley.com/en-us/The+Data+Science+Handbook-p-9781119092940

7. Titel: Process Mining. Data Science in Action
Autor: Wil van der Aalst
Springer, 2016
https://www.springer.com/de/book/9783662498507

8. Titel: Pro Deep Learning with TensorFlow.A Mathematical Approach to Advanced Artificial Intelligence in Python
Autor: Santanu Pattanayak
Apress, 2017
https://www.apress.com/de/book/9781484230954

9. Titel: Learning TensorFlow. A Guide to Building Deep Learning Systems
Autoren: Tom Hope, Yehezkel S. Resheff, and Itay Lieder
O'Reilly Media, 2017
http://shop.oreilly.com/product/0636920063698.do

10. Titel: Deep Learning with TensorFlow
Autoren: Giancarlo Zaccone, Md. Rezaul Karim, Ahmed Menshawy
Packt Publishing, 2017
Link: https://www.packtpub.com/big-data-and-business-intelligence/deep-learning-tensorflow

11. Titel: Hands-On Machine Learning with Scikit-Learn and TensorFlow. Concepts, Tools, and Techniques to Build Intelligent Systems
Autor: Aurélien Géron
O'Reilly Media, 2017
http://shop.oreilly.com/product/0636920052289.do

12. Titel: Applied Artificial Intelligence. An Engineering Approach
Autor: Bernhard G. Humm
2016
Link: https://leanpub.com/AAI
Weitere Publikationen von Autor:
https://www.fbi.h-da.de/organisation/personen/humm-bernhard/pub.html

13. Titel: Predictive Data Mining Models
Autoren: David L. Olson, Desheng Wu
Springer Verlag, 2017
https://www.springer.com/de/book/9789811025426


14. Titel: Introduction to Deep Learning. From Logical Calculus to Artificial Intelligence
Autor: Sandro Skansi
Springer Verlag, 2018
https://www.springer.com/gp/book/9783319730035