#33 Machine Learning Specialization [Course 1, Week 3, Lesson 1]
The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications. This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. This video is from Course 1 (Supervised Machine Learning Regression and Classification), Week 3 (Classification), Lesson 1 (Classification with logistic regression), Video 3 (Decision boundary). To learn more and access the full course videos and assignments, enroll in the Machine Learning Specialization here: https://bit.ly/3ERmTAq Download the course slides: https://bit.ly/3AVNHwS Check out all our courses: https://bit.ly/3TTc2KA Subscribe to The Batch, our weekly newsletter: https://bit.ly/3TZUzju Follow us: Facebook: / deeplearningaihq LinkedIn: / deeplearningai Twitter: / deeplearningai_
![#34 Machine Learning Specialization [Course 1, Week 3, Lesson 2]](https://i.ytimg.com/vi/vq4Ie5xWhww/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4Af4JgALQBYoCDAgAEAEYMSBVKH8wDw==&rs=AOn4CLAKUC93nn28EFkmpDtkYQfH9zpAxA)
#34 Machine Learning Specialization [Course 1, Week 3, Lesson 2]

If You Have A Bad Memory, I’ll Help You Fix It In 28 Minutes
![#35 Machine Learning Specialization [Course 1, Week 3, Lesson 2]](https://i.ytimg.com/vi/YkTcK_LXAxw/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4Af4JgALQBYoCDAgAEAEYMSBVKH8wDw==&rs=AOn4CLAFFQIU3TPT0c2Nx7zDM2nC--Q4Ww)
#35 Machine Learning Specialization [Course 1, Week 3, Lesson 2]

AlphaFold - The Most Useful Thing AI Has Ever Done

Billionaire's WARNING: I'm SELLING. The Crash Is Already Here!

Turing Award Winner: Disagreeing with Google, Postgres, Future Problems | Mike Stonebraker
![#32 Machine Learning Specialization [Course 1, Week 3, Lesson 1]](https://i.ytimg.com/vi/xuTiAW0OR40/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4Af4JgALQBYoCDAgAEAEYLyBTKH8wDw==&rs=AOn4CLA8xoA-tgVJKLq6w-KgwFx3olD-ow)
#32 Machine Learning Specialization [Course 1, Week 3, Lesson 1]

Advice for machine learning beginners | Andrej Karpathy and Lex Fridman

But what is quantum computing? (Grover's Algorithm)

Don't learn AI Agents without Learning these Fundamentals

Should You Still Become a Software Engineer in 2026? GitHub VP

Machine Learning Fundamentals: Bias and Variance

AI, Machine Learning, Deep Learning and Generative AI Explained
![#31 Machine Learning Specialization [Course 1, Week 3, Lesson 1]](https://i.ytimg.com/vi/p-ltr1C7u2o/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4Af4JgALQBYoCDAgAEAEYMiBVKH8wDw==&rs=AOn4CLC3eI_Q_IDPiDWo21d_ZU-uznz2kQ)
#31 Machine Learning Specialization [Course 1, Week 3, Lesson 1]

Lecture 20 - Multiclass Classification | UofA CMPUT267: Machine Learning I (Fall 2025)

But what is a neural network? | Deep learning chapter 1

Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)

Support Vector Machines Part 1 (of 3): Main Ideas!!!

I Took Andrew Ng's Updated Machine Learning Specialization (2022) - Honest Review

