Recommender System


Recommender systems have become increasingly popular in recent years, and are utilized in a variety of areas including movies, music, news, books, research articles, search queries, social tags, and products in general.

SKU: IDEAS-REC Category: Tag:


Qualifying Participants
Individuals with 1+ year data science related experience or equivalent knowledge in data science fundamentals. Certified professionals are capable of leveraging data science with Python and other programming languages. They will be able to implement successful data products through assessing and designing recommendation systems and build accurate data models based on different business scenarios.
Testing Standards
Basic Theory: Statistics, Probability, Data Mining, machine learning, basic algorithm and program coding
Tools and Software Requirements: Python and related toolkits, Excel
Prerequisite Skills: Ability to analyze the requirements for recommender system, from design to the full lifecycle implementation. Additional specialization in structuring optimize data model for recommender system to address various business problems.

Download Detail Material

Make sure read this section before taking the exam:

Prepare Your Environment:

1. Make sure your Jupyter Notebook is ready to use including python 2.7 kernel, numpy, scipy, pandas, sklearnmatplotlib.

2. Take some blank papers with you, since some question needs some calculation, may ask you submit a picture of your paper answer.

During Exam:

We are using Honorlockfor Proctoring purpose, your audio, video, the computer screen will be recorded.

Please, make sure useChrome Browser and install the plugin

After Exam:

You will get your result within one week. You can check your result in the Grades section and also, we will send you an email to announce final result. If you passed the exam, we will issue a digital certificate which can be verified online by a third-party digital certificate authentication provider.


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