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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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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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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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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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A List of Programming Languages for 2024

Knowledge Hut

Visual Basic.NET Visual Basic was developed by Microsoft in the year 2001. C# C# was developed by Microsoft in 2001, along with its.NET framework. R R is a programming language used by statisticians and researchers mainly for the analytics of datasets. It is a high-level language that supports Object Oriented Capability.

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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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A Collection of Take-Home Data Science Challenges for 2023

ProjectPro

By implementing various machine learning algorithms over a dataset of dates, store, item information, promotions, and unit sales, you will be using time forecasting methods to predict the sales. Two Sigma Investments is a firm implementing data science tools over datasets for predicting financial trade since 2001.