Building Recommendation Systems with Python

Recommendation systems are at the heart of almost every internet business today; from Facebook to Netflix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform. This course shows you how to do just that. You will learn…

AI-900: Microsoft Azure AI Fundamentals

This course is designed for candidates looking to demonstrate foundational-level knowledge of machine learning (ML) and artificial intelligence (AI) concepts, and related Microsoft Azure services. You will learn how to use Azure services to create machine learning, computer vision, natural language processing, and conversational AI solutions through hands-on activities. The course is intended for candidates…

Intelligent Analytics and Automation with ML & AI

Machine learning products are being used daily, perhaps without realizing it. The future of machine learning is already here, so gearing yourself up with machine learning skills is a good move now. You and your teams can use Artificial Intelligence to deliver value to your customers. You too can build and deploy machine learning products…

Azure Synapse Analytics | 1-day Workshop

Cloud Analytics in the Age of Self-Service Data Science This Azure Synapse Analytics Training 1-day workshop is an Azure Synapse (DW) focused event with technical labs for the Azure Synapse Modern Data Warehouse inside the Azure Synapse platform. You will learn about the main concepts related to the Azure Synapse Data Warehouse pool. We’ll demo…

ML and AI for Software Developers

Machine learning (ML) expands the boundaries of what’s possible by letting software do things that can’t be done algorithmically. From fraud detection and sentiment analysis to spam filtering and facial recognition, it touches lives every day. Deep learning is a subset of machine learning that relies on deep neural networks. It is how computers identify…

Machine Learning with Python

Python in Data Science is huge right now. This course covers the basics to get started looking with classification and regression in Machine Learning. We will use the popular Jupyter and scikit-learn tools to create models, train them, evaluate them, and finally interpret the results. We will use standard numeric evaluators as well as visualization…