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Master the core concepts of recommendation systems, from similarity metrics to evaluation methods. Our structured curriculum ensures you understand the mathematical foundations needed to build effective recommendation engines.
Our comprehensive video explanations walk you through complex recommendation algorithms, implementation techniques, and optimization strategies with real-world examples from Netflix, Amazon, and Spotify.
Build real recommendation systems from scratch with our interactive coding environment. From collaborative filtering to neural network-based recommendations, you'll implement algorithms that can scale to production environments.
Learn the same recommendation algorithms used by tech giants. Our curriculum covers collaborative filtering, content-based filtering, hybrid approaches, matrix factorization, and deep learning models for recommendation systems.
Implement recommendation systems in your preferred language. Whether you're using Python with scikit-learn and TensorFlow, Java, JavaScript, or C++, we provide solutions and guidance in each language.
Complete recommendation system projects that you can showcase to employers. From movie recommendation engines to product recommendation systems, you'll build portfolio pieces that demonstrate your skills.
You want to understand how Netflix, Spotify, Amazon, and other platforms create personalized recommendations
You're building an application that needs a recommendation engine to improve user engagement and retention
You're pursuing roles in data science or machine learning where recommendation systems are essential
You want to master both traditional algorithms and modern deep learning approaches to recommendation systems
You need to learn how to evaluate and optimize recommendation systems using real user data
“After going through all the lessons, I gained the necessary skills to perform well at my on-sites. I crushed even the DP problems, which were my biggest fear. And thanks to that I landed offers from Microsoft and Uber. Thank you AlgoCademy!”
Cristina Radulescu
Senior Software Engineer at Uber
“AlgoCademy really helped me improve my problem solving skills and write incredibly clean code. I was worried it wouldn’t be done in time for my coding interviews, but the way the curriculum is structured made me progress very quickly. Thanks for your work!”
Connor Holland
Software Engineer at Vanguard
“Wow. I've been using AlgoCademy for a while and now I can finally solve coding questions on my own. This gave me the confidence I needed for my interviews, and guess what? I landed the offer at Samsung! You guys truly kick ass. High fives!”
Ankit Kumar
Software Engineer at Samsung
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of the surveyed Graduates have added between $10,000 and $50,000 to their salary
of our Students say they’d recommend AlgoCademy to their friends
of our Students are confident that AlgoCademy will help them advance in their careers
of our Graduates enjoy their work more after joining AlgoCademy
Software Engineer & Instructor
Andrei has represented Romania in many international competitive programming contests. His highest achievement to date is winning the bronze medal at the Central European Olympiad in Informatics.
Andrei has also worked for Amazon and Keystone. Since 2015, he's been training students for the International Olympiad and preparing aspiring engineers to crush their coding interviews.
Fun fact: Andrei has a YouTube Channel and had the highest-rated course on Udemy before AlgoCademy was born.
Founder & CEO/CTO
Mircea has worked as a Software Engineer at companies including Facebook, Adobe, Ubisoft, and two NYC startups.
He has built many innovative products using algorithms and data structures, such as Autocorrect and Swipe Typing for the iOS keyboard, Music Recommendation Engine, and Real-Time Optimal Exchange Algorithm. Mircea has been a coding interview and competitive programming coach for over a decade.
Fun fact: Mircea has written a peer reviewed Scientific Paper on Algorithms.
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Yes! The content is designed to cover everything you need to know about recommendation systems. We start with the fundamentals and move to advanced techniques, ensuring that you gain both the theoretical foundation and hands-on experience necessary to build and deploy recommendation engines. Our graduates consistently apply these skills in real-world projects.
Absolutely. Whether you're a seasoned developer or just starting out, our course is designed to take you from the basics of recommendation algorithms to advanced, scalable implementations. We explain concepts in clear, simple language and provide practical examples to help you grasp each topic quickly.
You get full access to all our interactive tutorials and coding projects from day one. Dive in at your own pace, and enjoy a constantly growing library of lessons and hands-on projects on recommendation systems.
Not at all. Our lessons focus on teaching the core principles and algorithms behind recommendation systems using clear pseudocode and examples in popular languages such as Python, Java, JavaScript, and C++. You can start regardless of your background.
Every day you wait, you miss out on opportunities to improve your technical skills and enhance user experiences. Our course provides the critical tools and insights that are in high demand across various industries. Take the leap today to unlock your potential and build the systems that power personalized experiences for millions.
The ability to build effective recommendation systems can open doors to high-impact roles and projects, with companies valuing these skills immensely. Our course is a proven pathway to mastering these techniques, ensuring that every dollar spent accelerates your career growth and technical expertise.
We don't offer refunds under any circumstance. You can try out our free coding tutorials before deciding to subscribe.
Obviously, we'd love it if all of our members stuck around forever. We’ve worked with students long enough to know that it’s never going to happen. If you decide to cancel, we’ll make the process quick and easy. We’re always here to help you return whenever you feel ready to pick up where you left off.
AlgoCademy helps you translate ideas into code, guiding you step-by-step, thus making the whole learning experience more interactive than just following video lessons.
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