Unsupervised Learning, Recommenders, Reinforcement Learning (training)

Colleagues, in the “Unsupervised Learning, Recommenders, Reinforcement Learning” program 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 along with a deep reinforcement learning model. Develop highly marketable skills involving Algorithms, Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Human Learning, Deep Learning, and Mathematics. The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. In this beginner-friendly program, you will learn 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. Skill-based training lessons involve: 1) Unsupervised learning, 2) Recommender systems, and 3) Reinforcement learning. 

Enroll today (teams & execs welcome): https://imp.i384100.net/09PyLM

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