Mathematics form the foundation for Machine Learning algorithms and Data Science, necessary for working and research in the Data Science field. Many Data Science elements depend on mathematical concepts such as probability, statistics, calculus, linear algebra, and so on. Hence, it is important for data scientists, to understand the principles of these concepts and how these principles might affect their models and day-to-day tasks. In the Essential Math for Data Science journey, you will explore important concepts of mathematics that form the foundation for Machine Learning algorithms, Data Science and Artificial Intelligence.

Explore machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services as you prepare for the AI-900:Azure AI Fundamentals certification exam. This collection of courses delivers an immersive micro-learning that lets you watch, read, listen, and practice a little at a time, when it is convenient for you. The Microsoft Certification has been curated based on competencies and skills mapped to hundreds of thousands of requests from employers. It includes: bootcamps so you can learn with others; labs to practice skills without having to install specialized software; AI-driven personalization and recommendations based on your learning; mobile and off-line access to content; online mentor support; and digital badges as evidence of learning that you can share with others or post on social media.

Welcome to the Understanding Bias in Data Bootcamp channel! Examples of injustice will often make the news, but the roots of the sensational have their foundation in the mundane. Increasingly, the technology we create and the decisions we make are grounded in data. From healthcare to economics to facial recognition to self-driving cars, the who and how of the underlying code and analysis has an instrumental impact on our everyday lives. Too often, that impact can be disproportionately harmful to vulnerable and marginalized people. Join Princeton University?s Dr. Ruha Benjamin and Data Society?s Merav Yuravlivker and Amazon Robotics? Matthew Finney for an insightful two day Bootcamp: Unlock an understanding of the kinds of bias that exist in data and artificial intelligence. Understand the impact that unconscious bias can have. Take action by grasping the role you can play as a technologist to identify and tackle bias.