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Build Recommender Systems

Build Recommender Systems is a critical skill in modern design. Master it through hands-on projects, curated resources, and community-driven learning. Complete learning hub with 100+ sources from across the internet.

Salary Range
$85k – $180k
Jobs Available
12,000+
Demand Score
78/100
Time to Learn
3-6 months to job-ready

Complete Build Recommender Systems Learning Hub

Every free & paid resource, tool, community, and platform to master Build Recommender Systems

Top GitHub Repositories

15 trending repos to learn from

tensorflow/recommenders-addons

Cuda
635

Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.

chrisneagu/FTC-Skystone-Dark-Angels-Romania-2020

Java
323

NOTICE This repository contains the public FTC SDK for the SKYSTONE (2019-2020) competition season. If you are looking for the current season's FTC SDK software, please visit the new and permanent hom

Sfedfcv/redesigned-pancake

277

Skip to content github / docs Code Issues 80 Pull requests 35 Discussions Actions Projects 2 Security Insights Merge branch 'main' into 1862-Add-Travis-CI-migration-table 1862-Add-Travis-CI-migration

piyushpathak03/Recommendation-systems

Jupyter Notebook
219

Recommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory: ML & DL Formulation, Prediction vs. Ranking, Similiarity, Bias

beta-team/beta-recsys

Python
172

Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems

Masudbro94/python-hacked-mobile-phone-

160

Open in app Get started ITNEXT Published in ITNEXT You have 2 free member-only stories left this month. Sign up for Medium and get an extra one Kush Kush Follow Apr 15, 2021 · 7 min read · Liste

PacktPublishing/Building-Recommender-Systems-with-Machine-Learning-and-AI

Jupyter Notebook
112

Building Recommender Systems with Machine Learning and AI, published by Packt

Aryia-Behroziuan/neurons

96

An ANN is a model based on a collection of connected units or nodes called "artificial neurons", which loosely model the neurons in a biological brain. Each connection, like the synapses in a biologic

5 books curated from Google Books

Salary Impact of Build Recommender Systems

Estimated earning potential across career levels

Entry Level (0-2y)
$50-80k
₹4 – ₹8 LPA India
Mid-Level (2-5y)
$80-140k
₹8 – ₹18 LPA India
Senior (5+y)
$140-250k+
₹18 – ₹40+ LPA India

Salary ranges are market estimates and vary significantly based on primary job title, location, and seniority level.

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