Unsupervised Studying, Recommenders, Reinforcement Studying

About this Course

Within the third course of the Machine Studying Specialization, you’ll:

• Use unsupervised studying methods for unsupervised studying: together with clustering and anomaly detection. • Construct recommender programs with a collaborative filtering strategy and a content-based deep studying methodology. • Construct a deep reinforcement studying mannequin. The Machine Studying Specialization is a foundational on-line program created in collaboration between DeepLearning.AI and Stanford On-line. On this beginner-friendly program, you’ll study the basics of machine studying and the best way to use these methods to construct real-world AI functions. This Specialization is taught by Andrew Ng, an AI visionary who has led crucial analysis at Stanford College and groundbreaking work at Google Mind, Baidu, and Touchdown.AI to advance the AI subject. This 3-course Specialization is an up to date and expanded model of Andrew’s pioneering Machine Studying course, rated 4.9 out of 5 and brought by over 4.8 million learners because it launched in 2012. It supplies a broad introduction to trendy machine studying, together with supervised studying (a number of linear regression, logistic regression, neural networks, and resolution bushes), unsupervised studying (clustering, dimensionality discount, recommender programs), and a few of the greatest practices utilized in Silicon Valley for synthetic intelligence and machine studying innovation (evaluating and tuning fashions, taking a data-centric strategy to enhancing efficiency, and extra.) By the tip of this Specialization, you’ll have mastered key ideas and gained the sensible know-how to rapidly and powerfully apply machine studying to difficult real-world issues. If you happen to’re seeking to break into AI or construct a profession in machine studying, the brand new Machine Studying Specialization is the most effective place to start out.

WHAT YOU WILL LEARN

• Use unsupervised studying methods for unsupervised studying: together with clustering and anomaly detection

• Construct recommender programs with a collaborative filtering strategy and a content-based deep studying methodology

• Construct a deep reinforcement studying mannequin

SKILLS YOU WILL GAIN

• Collaborative Filtering
• Unsupervised Studying
• Recommender Methods
• Reinforcement Studying
• Anomaly Detection

Syllabus – What you’ll study from this course

WEEK

1

1 hour to finish

Week 1 Unsupervised studying