Building Recommender Systems with Machine Learning and AI
4.5
Udemy0 learners
Learn More
This course, Building Recommender Systems with Machine Learning and AI, taught by Amazon's pioneer in the field, Frank Kane, will teach you how to create machine learning recommendation systems with deep learning, collaborative filtering, and Python. You'll learn to understand and apply user-based and item-based collaborative filtering, create recommendations using deep learning, build recommendation engines with neural networks, make session-based recommendations with recurrent neural networks, and more. You'll also learn to apply real-world learnings from Netflix and YouTube to your own recommendation projects, combine many recommendation algorithms together in hybrid and ensemble approaches, and use Apache Spark to compute recommendations at large scale on a cluster. This course is perfect for those looking to become valuable to the largest, most prestigious tech employers.
How to Build A Recommendation Engine In Python
4.0
Udemy0 learners
Learn More
Are you curious about how Netflix, Amazon and YouTube make their recommendations? Do you want to learn how to build a Recommendation Engine from scratch? This course is the perfect place to start! You will learn the basic concepts of a Recommendation Engine and be able to build a simple but functional one using simple math and basic Python programming skills. The course will walk you through the Collaborative Filtering algorithm used by Netflix to recommend movies to users based on the tastes of other similar users. So join now and make your first big steps towards the future!
Music Recommender System Using Pyspark
2.0
Coursera1 learners
Learn More
This course is perfect for anyone interested in learning how to create a Music Recommender System using Pyspark. You'll learn how to use the ALS Algorithm to suggest new tracks to different users based on the songs they've been listening to. As a prerequisite, it's suggested that you have a basic understanding of the ALS Algorithm. This course is best suited for learners based in the North America region, but we're working on providing the same experience in other regions. So don't miss out on this great opportunity to learn how to create a Music Recommender System using Pyspark!
Building Similarity Based Recommendation System
1.5
Coursera0 learners
Learn More
This 1-hour project-based course on Building Similarity Based Recommendation System is perfect for learners based in North America. Learn how to create user item interactions matrix from the original dataset and recommend items to a new user. Understand how similarity based collaborative filtering recommendation systems work and how to compute similarity between users. Get the skills to collect data for building such systems and recommend items based on products interacted by other similar users. Don't miss out on this great opportunity to learn and grow your skills!
1. Programming Courses: These online courses cover a wide range of programming languages such as Python, Java, C++, and more. They also teach students web development, software engineering, and other technical skills.
2. Business Courses: These courses cover topics such as entrepreneurship, marketing, accounting, and financial management. Students can learn about business strategy, banking, investment, and more.
3. Language Courses: Online courses in languages such as Spanish, French, Mandarin, and more are available for students looking to improve their language skills or learn a new language.
4. Healthcare Courses: These courses cover topics such as nursing, medical coding, healthcare management, and more. Students can also learn about public health, nutrition, and other related topics.
5. Arts & Design Courses: Online courses in graphic design, animation, photography, and other artistic subjects are available for students interested in creative fields.
6. Personal Development Courses: These courses cover topics such as time management, communication skills, mindfulness, and more to help students improve their personal and professional lives.
7. STEM Courses: Science, Technology, Engineering, and Mathematics (STEM) courses cover subjects such as biology, physics, engineering, and more. Students can learn about cutting-edge technologies and scientific advancements.
