
Explore data-driven retail forecasting models to enhance operational resilience. Gain insights into challenges, techniques, and future trends in retail prediction, including the impact of COVID-19 and advanced machine learning approaches.

Explore AI's role in combating fraudulent payments from social engineering in fintech, covering phishing detection, identity theft prevention, and emerging threats like deepfakes.

Explore deep learning solutions for efficient cardiac MR, aiming to achieve a 20-minute stress CMR exam through innovative techniques and technologies.

Explore cutting-edge deep learning solutions revolutionizing cardiac MR imaging efficiency and accuracy with GE HealthCare's innovative technologies.

Explore MR Neurography techniques for brachial plexus imaging, covering indications, optimal methods, and Deep Learning reconstructions. Gain insights into anatomy, protocols, and clinical applications.

Explore highly accelerated deep-learning reconstructed cine techniques for rapid cardiac MR imaging, enhancing efficiency in radiology diagnostics.

Explore cutting-edge applications of AI in echocardiography, enhancing cardiovascular diagnostics and patient care through innovative technology.

Explore mathematical insights arising from AI developments in this colloquium by Lek-Heng Lim, examining key observations and their implications for the field.

Dive into building and training a custom AI model using PyTorch, Python, and Jupyter Labs. Learn step-by-step techniques to create a deployable model for Raspberry Pi or other computers.

Learn TensorFlow 2.0 through hands-on tutorials covering installation, neural networks, CNNs, RNNs, transfer learning, data augmentation, custom training, and more. Build practical skills for deep learning projects.

Learn TensorFlow basics, deep learning concepts, and practical applications through comprehensive tutorials and hands-on projects. Explore neural networks, computer vision, and natural language processing.

Explore deep learning for audio and music using Python and TensorFlow. Learn neural network fundamentals, audio preprocessing, and advanced architectures like CNNs and LSTMs for music genre classification.

Introducción práctica a la programación GPU con CUDA 10, abarcando fundamentos, modelo de programación, memoria compartida, aprendizaje profundo y concurrencia para aplicaciones de alto rendimiento.

Aprende a utilizar Splunk Machine Learning Toolkit para análisis de datos, detección de anomalías y predicciones con asistentes especializados y actualizaciones de versiones.

Explore advanced mathematical concepts including Laplace equations, convolution, polar coordinates, and more. Master techniques for solving complex differential equations and their applications.

Comprehensive workshop on machine learning in bioinformatics, covering decision trees, neural networks, hidden Markov models, and practical applications using Keras and Scikit-Learn.

This video teaches Data Science and its key functions and concepts with a variety of demonstrations & examples to help you get started on the right foot.

Explore batch normalization in deep learning: its implementation, benefits, and impact on network performance. Learn when and how to use it effectively for improved model training.

Learn to build deep learning models using Keras and TensorFlow in Python. Covers data preparation, neural network construction, and practical implementation with hands-on examples.

This Computer Vision Tutorial will introduce you Computer Vision and take you deep into concepts and practical implementation of the subject.

This tutorial on "Multi-Layer Perceptron" will help you to master all the core concepts of multi layer perceptrons and deep neural networks.