After completing this module, you will understand:
Why recommendation systems are the most widely used form of machine learning
The difference between collaborative and content based recommenders
How collaborative recommenders generate recommendations in
·A user based context
·An item based context
How content based recommenders generate recommendations
How to generate content based item profiles via
The advantages and disadvantages of multiple similarity metrics, specifically
The relative merits of several recommender evaluation metrics, specifically
The advantages and disadvantages of each recommender type
How a recommender training/test split differs from a supervised learning split and why
About the Program
Data Science and Data Engineering bootcamp
In the instructor-led, five-day, in-person bootcamp, you will:
Learn the theory and practice of data science and engineering using state of the art tools
Explore, visualize, and cluster data
Build and evaluate predictive models for classification and regression
Design online experiments
Build an end-to-end internet of things (IoT) solution.
Be exposed to a variety of technologies: Hive, Hadoop, Mahout, Spark, stream processors and data ingestors.
Participate in a Kaggle competition.
You should have interest in data science and data engineering and knowledge of at least one programming language. However, many of our attendees come to us with little to no programming experience. Foundations of Data Science course will get you where you need to be to hit the ground running.
10 hours of preparatory work through videos and online training materials
50 hours of in-class training
8 hours of post-bootcamp videos on additional topics
Overall Learning Outcomes
At the end of the bootcamp, every attendee should be able to:
Explore an unknown dataset
Build, evaluate, fine-tune and deploy a predictive model as a service
Build an end-to-end big data pipeline to handle large volumes of data - even if the data is arriving in real time.
A detailed list of the topics we will teach at the bootcamp can be found in our course outline.
You can engage with the curriculum faculty and your fellow classmates in the Discussion Forums in this course. We want to be able to address all your questions both in-class and outside of class. If there is something that did not make sense, or if you have questions about how to use a tool, please post your questions on the discussion board. We encourage everyone to participate, give feedback, and provide suggestions to fellow peers.
You will receive a certificate of Achievement for participating at the bootcamp.
Arham Akheel, Business Analyst
Raja Iqbal, Chief Data Scientist
Rebecca Merrett, Data Scientist
Data Science Dojo is a paradigm shift in data science learning, enabling people to extract actionable insights from data.