Unsupervised Learning, Recommenders, Reinforcement Learning
Learn to apply unsupervised learning techniques, build recommender systems, and develop deep reinforcement learning models.
Description for Unsupervised Learning, Recommenders, Reinforcement Learning
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 21
Offered by: On Coursera provided by DeepLearning.AI
Duration: 27 hours (approximately)
Schedule: Flexible
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From fundamental concepts to advanced methods such as deep learning and ensemble techniques, this program provides a comprehensive examination of machine learning techniques.
Learn the fundamental techniques of supervised and unsupervised learning and apply them to real-world problems to unlock the potential of machine learning.
Acquire an extensive understanding of reinforcement learning, deep neural networks, clustering, and dimensionality reduction to effectively address real-world machine learning challenges.
Learn to apply advanced machine learning and deep learning models to real-world challenges by immersing yourself in the cutting-edge world of AI-powered finance and insurance.
Offers a wider understanding and practical skills for excelling at machine learning and pursuing research opportunities.
Acquire actionable insights to effectively formulate and execute AI strategies within your organization.
Understand machine learning ideas and project management strategies in order to effectively develop and analyze different models.
Develop an in-depth understanding of artificial intelligence (AI) methodologies, including natural language processing, machine learning, and search algorithms.
Provides learners with the necessary skills to implement advanced AI concepts and practical applications through an examination of reinforcement learning.
In a nutshell, this concentration helps business professionals get ready for the CDSP exam by teaching them how to put data science knowledge to use in real-world scenarios.
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