در این روش نیاز به افزودن محصول به سبد خرید و تکمیل اطلاعات نیست و شما پس از وارد کردن ایمیل خود و طی کردن مراحل پرداخت لینک های دریافت محصولات را در ایمیل خود دریافت خواهید کرد.
Machine learning as a concept has been around for over 60 years, but as artificial intelligence becomes more and more popular, there’s increased opportunity in the field of artificial intelligence and its subgroups, machine learning and deep learning. And with the explosion of cloud computing, it’s only natural to study machine learning with cloud technologies like Azure. In this second course to her Azure machine learning series, Zarina Meeran starts you off with a look at AI and how machine learning is a subgroup of AI—an important concept to understand before diving into the various ML problems and ML algorithms to solve these problems. She then covers the ML lifecycle to get the end-to-end picture as well as the tools offered from Azure. Finally, Zarina goes through the architecture of MLOps within the cloud as currently adopted.
01 - Introduction
02 - 1. Azure Machine Learning
03 - 2. Getting Started with Azure Machine Learning
04 - 3. Automated Machine Learning
05 - 4. Using the Azure ML Designer Feature
06 - 5. Author a Notebook
07 - Conclusion