Machine Learning Projects for .NET Developers
Machine Learning Projects for .NET Developers shows you how to build smarter .NET applications that learn from data, using simple algorithms and techniques that can be applied to a wide range of real-world problems. You’ll code each project in the familiar setting of Visual Studio, while the machine...
Κύριος συγγραφέας: | Brandewinder, Mathias (Συγγραφέας) |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berkeley, CA :
Apress : Imprint: Apress,
2015.
|
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
-
Efficient Learning Machines Theories, Concepts, and Applications for Engineers and System Designers /
ανά: Awad, Mariette, κ.ά.
Έκδοση: (2015) -
Advances in Machine Learning II Dedicated to the Memory of Professor Ryszard S.Michalski /
Έκδοση: (2010) -
Advances in Machine Learning I Dedicated to the Memory of Professor Ryszard S.Michalski /
Έκδοση: (2010) -
Machine Learning and Data Mining for Computer Security Methods and Applications /
Έκδοση: (2006) -
Machine Learning in Complex Networks
ανά: Christiano Silva, Thiago, κ.ά.
Έκδοση: (2016)