Building Intelligent Recommender Systems, Finland

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Deep 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.
Gain real-world expertise through content designed in collaboration with industry leaders, such as the Children’s Hospital of Los Angeles, Mayo Clinic, and PwC.
Earn an NVIDIA Deep Learning Institute certificate to demonstrate your subject matter competency and support your career growth.

Intermediate knowledge of Python, including understanding of list comprehension
Data science experience using Python
Familiarity with NumPy and matrix mathematics

Build a content-based recommender system using the open-source cuDF library and Apache Arrow
Construct a collaborative filtering recommender system using alternating least squares (ALS) and CuPy
Design a wide and deep neural network using TensorFlow 2 to create a hybrid recommender system
Optimize performance for both training and inference using large, sparse datasets
Deploy a recommender model as a high-performance web service
Why Choose NVIDIA Deep Learning Institute for Hands-On Training?

Introduction

Meet the instructor.
Create an account at courses.nvidia.com/join

Matrix-Based Recommender Systems
Implement collaborative filtering with singular value decomposition (SVD):

Read sparse data into a GPU using CuPy
Perform ALS efficiently with NumPy broadcasting rules.
Build a content-based filter with cuDF

Training Wide and Deep Recommenders
Build a wide and deep network using TensorFlow 2:

Build a deep network using Keras.
Build a wide and deep network using TensorFlow feature columns.
Efficiently ingest training data with tf.data.
Case study 1: See real-world examples of recommender system model architectures.

Challenges of Deploying Recommendation Systems to Production
Deploy a recommender system in a production environment:

Acquire a trained model configuration for deployment.
Build a container for deployment.
Deploy the trained model using NVIDIA Triton Inference Server.

Final Review

Review key learnings and answer questions.
Learn to build your own training environment from the DLI base environment container.
Complete the assessment and earn a certificate.
Take the workshop survey.
Case study 2: Review real-world challenges of at-scale recommender systems

Building Intelligent Recommender Systems Training Course in Finland

Finland is a country located in northern Europe. Helsinki is the capital and largest city of the country. The majority of the people are Finns but there is also a small Lapp population in Lapland, where the country is famous for the Northern Lights. Finland's national languages are Finnish and Swedish.

Known for its vast forests, lakes, and natural beauty, Finland is one of the world's largest producers of forest products, such as paper, pulp, and lumber. One of the world's largest sea fortresses Suomenlinna, Rovaniemi with the "White Nights", dogsled safaris and of course the Northern Lights are what makes Finland so popular for tourists. Finland is one of the best places in the world to see the Northern Lights and attracts millions of tourists during its seasons.

Finland is home to a thriving technology industry and is widely recognized as one of the world's leading technology hubs. Companies such as Nokia and Rovio (creator of the popular game Angry Birds) are based in Finland. Some of the key factors that have contributed to Finland's success in technology include; strong investment in research and development, a highly educated workforce and fundings.

Finland has a strong educational system, and is widely regarded as one of the world's most literate countries. In fact, Finland's literacy rate is one of the highest in the world, and its students consistently perform well in international tests of math and reading ability.

Also, as a pioneer in environmental sustainability, Finland is known for its efforts to reduce its carbon footprint and promote clean energy. This Nordic country is also famous for its unique and distinctive cultural heritage, including its traditional folk music and its elaborate traditional costumes.

Helsinki, Finland's capital city, is the country's business center. Helsinki is Finland's largest city, and it is home to many of the country's major corporations and organizations, including many of the country's leading technology firms. The city is also a commercial, trade, and financial center, as well as one of the busiest ports in the Nordic region.

Take advantage of our diverse IT course offerings, spanning programming, software development, business skills, data science, cybersecurity, cloud computing and virtualization. Our knowledgeable instructors will provide you with practical training and industry insights, delivered directly to your chosen venue in Finland.

Building Intelligent Recommender Systems Training in Finland

Assessment type:

Certificate:

Upcoming Trainings

Building Intelligent Recommender Systems Training in Finland

Assessment type:

Certificate:

Prerequisites

What You Will Learn

Outline

Upcoming Trainings