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Unsupervised Learning, Recommenders, Reinforcement Learning
Coursera
Course
Unknown

Unsupervised Learning, Recommenders, Reinforcement Learning

DeepLearning.AI

Learn unsupervised learning methods including clustering and anomaly detection, build recommender systems, and develop deep reinforcement learning models in this foundational course.

Unknown3 weeksEnglish

About this Course

In the third course of the Machine Learning Specialization, you will: • Use unsupervised learning techniques for unsupervised learning: including clustering and anomaly detection. • Build recommender systems with a collaborative filtering approach and a content-based deep learning method. • Build a deep reinforcement learning model. The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. In this beginner-friendly

What You'll Learn

  • Use unsupervised learning techniques including clustering and anomaly detection
  • Build recommender systems with collaborative filtering and deep learning
  • Develop deep reinforcement learning models

Prerequisites

  • Basic computer science knowledge
  • Understanding of basic programming principles
  • Familiarity with fundamental mathematics

Instructors

A

Andrew Ng

Founder, DeepLearning.AI & Co-founder, Coursera

A

Aarti Bagul

G

Geoff Ladwig

DeepLearning.AI

E

Eddy Shyu

Topics

Deep Learning
Algorithms
Artificial Intelligence
Anomaly Detection
Dimensionality Reduction
Data Ethics
Supervised Learning
Reinforcement Learning
Machine Learning
Artificial Neural Networks

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

التعلم العميق
الخوارزميات
الذكاء الاصطناعي
اكتشاف الشذوذ
خفض الأبعاد
أخلاقيات البيانات
التعلم الموجه
التعلم المعزز
Machine Learning
Artificial Neural Networks

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