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

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🤖💡📈 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
0:58 - 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 does not cover AI or Data Science.*

To learn more about these topics, check out our beginners curriculum:

📇 Connect with Bea:

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