AI-900: Microsoft Azure AI Fundamentals Study Guide
This comprehensive study guide provides a thorough overview of the topics covered in the Microsoft Azure AI Fundamentals (AI-900) exam, including Artificial Intelligence workloads, fundamental principles of machine learning, computer vision and natural language processing workloads. Learn about the exam's intended audience, how to earn the certification, and the skills measured as of April 2022. Discover the important considerations for responsible AI, the capabilities of Azure Machine Learning Studio and more. Get ready to demonstrate your knowledge of AI and ML concepts and related Microsoft Azure services with this helpful study guide.Introducing Data Science for Beginners
Our team of Azure Cloud Advocates, Program Managers, and Student Ambassadors are pleased to bring a new addition to the For Beginners Curriculum series: Data Science for Beginners. Data Science for Beginners is a free, MIT-licensed open-source curriculum of 20 lessons that focus on the foundations of Data Science and requires no prior knowledge to get started.Jupyter Notebooks in Visual Studio Code
Visual Studio Code offers many great features for Data Scientists and Python developers alike, allowing you to explore and experiment on your data using the flexibility of Jupyter Notebooks combined with the power and productivity of VS Code. Tune in to learn how to supercharge your Jupyter Notebooks with VS Code.How to implement the backpropagation using Python and NumPy
First published on MSDN on Jul 04, 2017 I was recently speaking to a University Academic and we got into the discussion of practical assessments for Data Science Students, One of the key principles students learn is how to implement the back-propagation neural network training algorithm.
