AI

Linux Academy – Azure AI Solution Requirements

Linux Academy – Azure AI Solution Requirements-BiFiSO
English | Size: 465.01 MB
Category: Tutorial

Artificial Intelligence, or AI, and the Machine Learning that drives it, is one of the most exciting new frontiers of technology being presented in the Cloud today. Microsoft’s AI-100 is a certification path and exam that covers the Azure AI services and products available.

Linux Academy – Google Cloud AI Services Deep Dive

Linux Academy – Google Cloud AI Services Deep Dive-APoLLo
English | Size: 932.80 MB
Category: Tutorial

Welcome to the Google Cloud AI Services Deep Dive course. I’m Joe Lowery, and I’ll be your guide through this amazing collection of technology that will, without a doubt leave you wide-eyed in wonder at the possibilities of what you can accomplish at this very moment.

Lynda – Building Recommender Systems with Machine Learning and AI UPDATE 20200402

Lynda – Building Recommender Systems with Machine Learning and AI UPDATE 20200402-APoLLo
English | Size: 1.60 GB
Category: Tutorial

Automated recommendations are everywhere: Netflix, Amazon, YouTube, and more. Recommender systems learn about your unique interests and show the products or content they think you’ll like best. Discover how to build your own recommender systems from one of the pioneers in the field. Frank Kane spent over nine years at Amazon, where he led the development of many of the company’s personalized product recommendation technologies. In this course, he covers recommendation algorithms based on neighborhood-based collaborative filtering and more modern techniques, including matrix factorization and even deep learning with artificial neural networks. Along the way, you can learn from Frank’s extensive industry experience and understand the real-world challenges of applying these algorithms at a large scale with real-world data. You can also go hands-on, developing your own framework to test algorithms and building your own neural networks using technologies like Amazon DSSTNE, AWS SageMaker, and TensorFlow.