Machine Learning for Beginners - Introduction to Machine Learning for Beginners [Part 1] | Machine Learning for Beginners

🤖💡📈 Welcome to the first lesson of our Machine Learning for Beginners course, presented by Bea Stollnitz, a Principal Cloud Advocate at Microsoft! Join us on this exciting journey to understand the fundamentals of classical machine learning and how it can be applied to solve real-world problems. In this introductory video, we cover: ✅ Motivation for learning machine learning ✅ The difference between artificial intelligence, machine learning, and deep learning ✅ What you'll learn in this course ✅ What you will not learn in this course ✅ Why you should study machine learning No matter your background, this course will provide you with a solid foundation in classical machine learning, opening doors to countless applications in various fields. So let's get started! 🚀 Stay tuned for the next video in this series, where we'll dive into the history of machine learning. Make sure to subscribe and hit the notification bell 🔔 so you don't miss any updates! 0:00 - Intro 0:21 - Introducing ML for Beginners - https://aka.ms/ml-beginners 0:58 - The difference between AI and ML 1:39 - What you'll learn in this course 1:59 - What you won't learn in this course 2:22 - Why study Machine Learning #MachineLearning #AI #MLforBeginners #ML #AI #DeepLearning 📚 Learn more: This course is based on the free, open source, 26 lesson ML For Beginners curriculum from Microsoft, which can be found at https://aka.ms/ml-beginners. *This course does not cover AI or Data Science.* To learn more about these topics, check out our beginners curriculum: AI for Beginners - https://aka.ms/ai-beginners Data Science for Beginners - https://aka.ms/datascience-beginners 📇 Connect with Bea: Blog: https://bea.stollnitz.com/blog/ LinkedIn: https://www.linkedin.com/in/beatrizstollnitz/ Twitter: https://twitter.com/beastollnitz