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Geospatial Index 102

Towards Data Science

(Note: If you have never heard of the geospatial index or would like to learn more about it, check out this article ) Data The data used in this article is the Chicago Crime Data which is a part of the Google Cloud Public Dataset Program. Anyone with a Google Cloud Platform account can access this dataset for free. records in total.

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Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and…

Netflix Tech

The ingestions (ETL) pipelines transform enriched datasets to a common data model (design based on a graph structure stored as vertices and edges) to serve lineage use cases. We will be at Strata San Francisco on March 27th in room 2001 delivering a tech session on this topic, please join us and share your experiences. come join us.

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Seeing the Forest for the Trees by James Strong

Scott Logic

Decision trees are simple structures which go through a dataset and pose yes or no questions about its content. From asking these binary questions, the decision tree allows us to get an idea of which features split the dataset most effectively. Most often, the goal is to predict a target feature of the dataset based on the rest.

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A State-of-the-Art Method for Generating Photo-Realistic Textures in Real Time

Zalando Engineering

And justifiably so: not only do vast datasets and raw computational GPU power contribute to this fact, but also the influx of brilliant people dedicating their time to the topic has accelerated the progress in the field. The model parameters can then be optimized on this dataset by minimizing a loss function. 2001] Alexei A.

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Using rideshare data to evaluate racial bias in the issuance of speeding citations

Lyft Engineering

Combining these datasets, the team analyzed traffic stops that occurred in Florida from August 2017 to August 2020 affecting drivers while they were online on Lyft’s platform. These estimates are computed over our entire dataset, unconditional on the driver being cited. 5] Logistic Regression in Rare Events Data (King and Zeng 2001).

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History of Big Data

Knowledge Hut

Today, systems that can manage large datasets have eliminated many historical challenges. Insights can be generated and extracted from large datasets only when the original data is properly stored, transformed, analyzed, and presented in a comprehensible format. In 2001, Doug Laney defined big data and highlighted its features.

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Facial Emotion Recognition Project using CNN with Source Code

ProjectPro

In 2001, researchers from Microsoft gave us face detection technology which is still used in many forms. Before we jump on to the code, allow us to give you a fair idea of the dataset. The test dataset has 28,709 samples, and the training dataset has 3,589 samples. Pandas and NumPy : A must for all ML tasks in python.

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