Stanford CS229: Machine Learning Lecture 1 - Andrew Ng (Autumn 2018)

ℹ️ EPISODE INFO

Released

April 17, 2020

Duration

1h 15m

Channel

Stanford Online

Watch on YouTube

▶ Open ↗

📝 EPISODE DESCRIPTION

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai Listen to the first lecture in Andrew Ng's machine learning course. This course provides a broad introduction to machine learning and statistical pattern recognition. Learn about both supervised and unsupervised learning as well as learning theory, reinforcement learning and control. Explore recent applications of machine learning and design and develop algorithms for machines. Andrew Ng is an Adjunct Professor of Computer Science at Stanford University. View more about Andrew on his website: https://www.andrewng.org/ To follow along with the course schedule and syllabus, visit: http://cs229.stanford.edu/syllabus-autumn2018.html 0:00 Introduction 05:21 Teaching team introductions 06:42 Goals for the course and the state of machine learning across research and industry 10:09 Prerequisites for the course 11:53 Homework, and a note about the Stanford honor code 16:57 Overview of the class project 25:57 Questions #AndrewNg #machinelearning

🎤 SPEAKERS

• Andrew Ng

  host

  Stanford-affiliated machine learning educator and researcher, best known for teaching CS229 and pioneering online ML education.

🧾 EPISODE SUMMARY

In this episode of Stanford Online, featuring Andrew Ng, Stanford CS229: Machine Learning Lecture 1 - Andrew Ng (Autumn 2018) explores andrew Ng Opens CS229 With Logistics and Machine Learning Overview Ng frames machine learning as a transformative, fast-growing field with abundant opportunities across tech companies, other industries, and academia, and says he hopes students will use it for meaningful work.

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