- KDnuggets™ News 20:n31, Aug 12: Data Science Skills: Have vs Want: Vote in the New Poll; Netflix Polynote is a New Open Source Framework to Build Better Data Science Notebooks - Aug 12, 2020.
Vote in the
new KDnuggets poll: which data science skills you have and which ones you want? Netflix is not only for movies - its Polynote is a new open source framework to build better data science notebooks; Learn about containerization of PySpark using Kubernetes; Read the findings from Data Scientist Job Market 2020 analysis; and Explore GPT-3 latest.
Data Science Skills, GPT-3, Jobs, Kubernetes, Netflix, Poll, PySpark
Netflix’s Polynote is a New Open Source Framework to Build Better Data Science Notebooks - Aug 5, 2020.
The new notebook environment provides substantial improvements to streamline experimentation in machine learning workflows.
IDE, Jupyter, Netflix, Open Source, Scala
- A Tour of End-to-End Machine Learning Platforms - Jul 29, 2020.
An end-to-end machine learning platform needs a holistic approach. If you’re interested in learning more about a few well-known ML platforms, you’ve come to the right place!
AirBnB, Data Science Platform, Google, Machine Learning, MLOps, Netflix, Pipeline, Uber, Workflow
- Content-based Recommender Using Natural Language Processing (NLP) - Nov 26, 2019.
A guide to build a content-based movie recommender model based on NLP.
Movies, Netflix, NLP, Python, Recommender Systems
- Data Anonymization – History and Key Ideas - Oct 17, 2019.
While effective anonymization technology remains elusive, understanding the history of this challenge can guide data science practitioners to address these important concerns through ethical and responsible use of sensitive information.
Anonymity, Anonymized, History, Netflix, Privacy
- How LinkedIn, Uber, Lyft, Airbnb and Netflix are Solving Data Management and Discovery for Machine Learning Solutions - Aug 22, 2019.
As machine learning evolves, the need for tools and platforms that automate the lifecycle management of training and testing datasets is becoming increasingly important. Fast growing technology companies like Uber or LinkedIn have been forced to build their own in-house data lifecycle management solutions to power different groups of machine learning models.
AirBnB, Data Management, LinkedIn, Machine Learning, Netflix, Uber
- Netflix Prize Analyzed: Movie Ratings and Recommender Systems - Mar 18, 2016.
A 195-page monograph by a top-1% Netflix Prize contestant. Learn about the famous machine learning competition. Improve your machine learning skills. Learn how to build recommender systems.
Free ebook, Netflix, Recommender Systems
- 6 crazy things Deep Learning and Topological Data Analysis can do with your data - Nov 2, 2015.
Want to analyze a high dimensional dataset and you are running out of options? Find out how Deep Learning combined with Topological Data Analysis can do exactly that and more.
Clustering, Data Visualization, Deep Learning, Netflix, Topological Data Analysis
- Using Ensembles in Kaggle Data Science Competitions – Part 2 - Jun 26, 2015.
Aspiring to be a Top Kaggler? Learn more methods like Stacking & Blending. In the previous post we discussed about ensembling models by ways of weighing, averaging and ranks. There is much more to explore in Part-2!
Competition, Data blending, Data Science, Kaggle, Netflix
- Interview: Joseph Babcock, Netflix on Genie, Lipstick, and Other In-house Developed Tools - Jun 16, 2015.
We discuss role of analytics in content acquisition, data architecture at Netflix, organizational structure, and open-source tools from Netflix.
Data Science, ETL, In-house, Interview, Joseph Babcock, Netflix, Open Source, Tools
- Interview: Joseph Babcock, Netflix on Discovery and Personalization from Big Data - Jun 15, 2015.
We discuss the steps involved in Discovery process at Netflix, impact due to multitude of devices, system generated logs, and surprising insights.
Experimentation, Insights, Interview, Joseph Babcock, Knowledge Discovery, Netflix, Personalization
