Training a neural network to generalize this mountain of data and quickly provide specific recommendations for similar individuals or situations requires massive amounts of computation, which can be accelerated dramatically by GPUs.
DurationDeep learning-based recommender systems are the secret ingredient behind personalized online experiences and powerful decision support tools in retail, entertainment, healthcare, finance, and other industries.
Recommender systems work by understanding the preferences, previous decisions, and other characteristics of many people. For example, recommenders can predict the types of movies an individual will enjoy based on the movies they've previously watched and the languages they understand.
Training a neural network to generalize this mountain of data and quickly provide specific recommendations for similar individuals or situations requires massive amounts of computation, which can be accelerated dramatically by GPUs.
Organizations seeking to provide more delightful user experiences, deeper engagement with their customers, and better informed decisions can realize tremendous value by applying properly designed and trained recommender systems.
This workshop covers the fundamental tools and techniques for building highly effective recommender systems, as well as how to deploy GPU-accelerated solutions for real-time recommendations.
Assessment Type:
Skills-based coding assessments evaluate students; ability to debug and correct production-quality recommendation pipelines.
Certificate:
Upon successful completion of the assessments, participants will receive an NVIDIA Deep Learning Institute certificate to recognize their subject matter competency and support professional career growth Why Choose NVIDIA Deep Learning Institute for Hands-On Training?
Access workshops from anywhere with just your desktop/laptop computer and an internet connection. Each participant will have access to a fully configured, GPU-accelerated workstation in the cloud.
Obtain hands-on experience with the most widely used, industry-standard software, tools, and frameworks.
Learn to build deep learning and accelerated computing applications for industries such as healthcare, robotics, manufacturing, accelerated computing, and more.
Earn an NVIDIA Deep Learning Institute certificate to demonstrate your subject matter competency and support your career growth.
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Artificial neural networks are the building blocks of AI. The course investigates and compares human neural network with artificial neural networks. The human brain is trained to solve problems by attempting them.
The Data Science & AI Programme can be taken in either 24 weeks part time or 12 weeks full time and is designed for career-driven professionals to transition into the big data and AI industry.
Learn about AI; what it is and how it can be used. Find out about its real-world applications and how they relate to you. You will explore machine learning and the logic, ethics, and impacts of AI.
Artificial intelligence (AI) is intelligence demonstrated by machines, making it possible for them to learn from experience and perform human-like tasks.
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