Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Machine Learning Sucks

MLCon | Machine Learning Conference via YouTube

Overview

Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Explore the challenges and pitfalls of machine learning in this 36-minute conference talk by Dr. Pieter Buteneers from Chatlayer.ai at ML Conference 2018 Spring. Delve into common mistakes in implementing machine learning algorithms and learn strategies to avoid them. Gain insights on turning ML into sustainable business practices, understanding data issues, preventing overfitting, and addressing extrapolation problems. Examine the impact of feature selection, adversarial examples, and technological advancements on ML applications. Discuss the implications of machine learning on job markets, democracy, and startups. Despite its difficulties, discover the amazing potential of machine learning and how to navigate its complexities in various business contexts.

Syllabus

Intro
Machine Learning Sucks
Data
Over-fitting
Extrapolation
Features
Adverserial Examples
Technology
Job market
Democracy
Start-ups
Business
Conclusion
healthskouts

Taught by

MLCon | Machine Learning Conference

Reviews

Start your review of Machine Learning Sucks

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.