Böcker > Data & IT > Datavetenskap > Artificiell intelligens > Mönsterigenkänning Quick Start Guide to Large Language Models Plan, Activity, and Intent Recognition Probabilistic Graphical Models for Computer Vision. On-Line Learning in Neural Networks Scaling up Machine Learning An Introduction to Kolmogorov Complexity and Its Applications Maximum Penalized Likelihood Estimation Parallel Coordinates Optical Character Recognition Patterns in Java, Volume 1 The Science of Deep Learning Signal Processing Methods for Music Transcription Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e DNA Computing Models Artificial Intelligence For Dummies Guide to Biometrics Machine Learning with Spark and Python Neural Networks for Applied Sciences and Engineering Sparse Representation, Modeling and Learning in Visual Recognition Random Matrix Methods for Machine Learning Our Biometric Future AI at the Edge A Probabilistic Theory of Pattern Recognition Practical Process Automation Fundamentals of Computerized Tomography The Text Mining Handbook Applied Machine Learning and AI for Engineers Modern Multivariate Statistical Techniques Modern Multidimensional Scaling The Grammar of Graphics Person Re-Identification Decision Forests for Computer Vision and Medical Image Analysis A Probabilistic Theory of Pattern Recognition Learn Android Studio 3D Printing with MatterControl Beginning Design for 3D Printing
