Knowledge Hut

APRIL 23, 2024

Thus, it is no wonder that the origin of big data is a topic many big data professionals like to explore. The historical development of big data, in one form or another, started making news in the 1990s. These systems hamper data handling to a great extent because errors usually persist.

Big Data 52

Big Data Amazon Web Services Cloud Computing Media 52

ProjectPro

JANUARY 15, 2021

Undoubtedly, everyone knows that the only best way to learn data science and machine learning is to learn them by doing diverse projects. Table of Contents What is a dataset in machine learning? Why you need machine learning datasets? Where can I find datasets for machine learning? Why you need machine learning datasets?

Machine Learning 40

Machine Learning Datasets Retail Banking 40

Netflix Tech

MARCH 25, 2019

We also leverage metadata from another internal tool, Genie , internal job and resource manager, to add job metadata (such as job owner, cluster, scheduler metadata) on lineage data. Netflix’s diverse data landscape made it challenging to capture all the right data and conforming it to a common data model.

Building 89

Building Metadata Transportation Data Ingestion 89

Knowledge Hut

DECEMBER 27, 2023

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. SQL is often combined with other requirements like a programming language for developers, analytics tools for Big Data roles, etc. require R knowledge for analytics purposes.

Programming Language 52

Programming Language Programming Java Scala 52

ProjectPro

FEBRUARY 28, 2022

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. We will use this to manipulate data.

Coding 52

Coding Project Deep Learning Datasets 52

ProjectPro

DECEMBER 17, 2021

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.

Data Science 52

Data Science Medical Machine Learning Datasets 52

ProjectPro

SEPTEMBER 9, 2021

Storytelling involves showing patterns in a given dataset and then trying to infer actionable insights from the same. With so much data in hand, business intelligence tools like Tableau aid in giving a direction to the analysis so that one can present the correct inferences from the data.

Coding 52

Coding Project Datasets Data Science 52