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Artificial Intelligence
Distributed Machine Learning at Instacart System Architecture Case Study: Parallel Achievement ML Jobs Learnings & Future Work
Writer: Han LiAt Instacart, we take pride in offering a various range of machine learning (ML) products that empower every aspect of our marketplace, including customers, shoppers, retailers, and types. Together with the expansion...
Artificial Intelligence
Case Study: Applying a Data Science Process Model to a Real-World Scenario 1. Domain and project description 2. Data provision 3. Evaluation 4. Deployment 5. (Application) Use and summary References
Development of a machine learning model for materials planning in the availability chainIn today’s rapidly changing environment, some of the critical challenges facing corporations is the flexibility to predict future demand accurately. This is...
Artificial Intelligence
Cluster Evaluation for Aspiring Data Scientists 1. Introduction to Clustering 2. A Step-by-Step Case Study of Clustering in R Summary Stay in Touch! References
A step-by-step case study of how data scientists approach and execute a cluster evaluationCluster “1” has higher average arrests across all crimesNo observable difference in average urban population %The three clusters appear to be...
Artificial Intelligence
AI does a poor job of diagnosing COVID-19 from coughs, study finds
Early within the pandemic, quite a lot of researchers, startups and institutions developed AI systems that they claimed could diagnose COVID-19 from the sound of an individual’s cough. On the time, we ourselves were...
Artificial Intelligence
Scaling Media Machine Learning at Netflix Introduction Infrastructure challenges and components Case study: scaling match cutting using the media ML infra Conclusion and Future Work
By Gustavo Carmo, Elliot Chow, Nagendra Kamath, Akshay Modi, Jason Ge, Wenbing Bai, Jackson de Campos, Lingyi Liu, Pablo Delgado, Meenakshi Jindal, Boris Chen, Vi Iyengar, Kelli Griggs, Amir Ziai, Prasanna Padmanabhan, and Hossein...
Artificial Intelligence
Scaling Media Machine Learning at Netflix Introduction Infrastructure challenges and components Case study: scaling match cutting using the media ML infra Conclusion and Future Work
By Gustavo Carmo, Elliot Chow, Nagendra Kamath, Akshay Modi, Jason Ge, Wenbing Bai, Jackson de Campos, Lingyi Liu, Pablo Delgado, Meenakshi Jindal, Boris Chen, Vi Iyengar, Kelli Griggs, Amir Ziai, Prasanna Padmanabhan, and Hossein...
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