Machine Learning for Beginners - Techniques for Machine Learning [Part 3] | Machine Learning for Beginners

🧪🖥📊 In Lesson 3 of our Machine Learning for Beginners course, Bea Stollnitz, a Principal Cloud Advocate at Microsoft, delves into the process of building machine learning models and the various techniques involved. From deciding whether AI is the right approach for your problem, to evaluating and fine-tuning your model, this video will cover it all. In this video, you'll learn about: ✅ Deciding if AI is the right approach for your problem ✅ Collecting and preparing your data ✅ Training your model ✅ Evaluating your model ✅ Tuning the hyperparameters ✅ Testing the trained model in the real-world Understanding the techniques and steps involved in machine learning will provide you with a solid foundation for creating and implementing your own models. 🌟 Don't forget to subscribe and hit the notification bell 🔔 so you won't miss the next video in this series, where we'll start getting hands-on with machine learning by configuring all the tools we'll use throughout the course. See you there! 0:00 - Intro 0:34 - Decide if AI is the right approach 1:47 - Collect and prepare data 2:31 - Train your model 2:53 - Evaluate your model 3:07 - Tune the hyperparameters 3:28 - Test the model in the real world #MachineLearning #MLTechniques #AI #ML 📚 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. 📇 Connect with Bea: Blog: https://bea.stollnitz.com/blog/ LinkedIn: https://www.linkedin.com/in/beatrizstollnitz/ Twitter: https://twitter.com/beastollnitz