Knowledge Hut

NOVEMBER 28, 2023

Whether you are working on a personal project, learning the concepts, or working with datasets for your company, the primary focus is a data acquisition and data understanding. In this article, we will look at 31 different places to find free datasets for data science projects. What is a Data Science Dataset?

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Datasets Data Science Project Machine Learning 96

Data Engineering Weekly

JANUARY 15, 2025

The answer lies in unstructured data processing—a field that powers modern artificial intelligence (AI) systems. Unlike neatly organized rows and columns in spreadsheets, unstructured data—such as text, images, videos, and audio—requires advanced processing techniques to derive meaningful insights.

Data Engineering 62

Data Engineering Data Engineer Unstructured Data Engineering 62

Confluent

AUGUST 29, 2019

Stream processing engines like KSQL furthermore give you the ability to manipulate all of this fluently. We will cover how you can use them to enrich and visualize your data, add value to it with powerful graph algorithms, and then send the result right back to Kafka. Step 2: Using graph algorithms to recommend potential friends.

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Kafka Process Algorithm Cloud 55

Precisely

DECEMBER 12, 2024

These systems store massive amounts of historical datadata that has been accumulated, processed, and secured over decades of operation. This bias can be introduced at various stages of the AI development process, from data collection to algorithm design, and it can have far-reaching consequences.

Healthcare 63

Healthcare Algorithm Finance Data Integration 63

Netflix Tech

MARCH 28, 2025

However, as we expanded our set of personalization algorithms to meet increasing business needs, maintenance of the recommender system became quite costly. The impetus for constructing a foundational recommendation model is based on the paradigm shift in natural language processing (NLP) to large language models (LLMs).

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Metadata Bytes Entertainment Data Mining 85

DataKitchen

NOVEMBER 5, 2024

The Medallion architecture is a design pattern that helps data teams organize data processing and storage into three distinct layers, often called Bronze, Silver, and Gold. The Medallion architecture is a framework that allows data engineers to build organized and analysis-ready datasets in a lakehouse environment.

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Architecture Raw Data Pipeline-centric Data Ingestion 78

RandomTrees

DECEMBER 17, 2024

Generative AI (GenAI), an area of artificial intelligence, is enhancing the automation of quality control processes, thereby increasing the safety and efficiency of the industry. Regulatory Updates: AI algorithms perform and analyze the news and changes related to regulations free of charge, making compliance simple for businesses.

Food 52

Food Manufacturing Machine Learning Algorithm 52

Ascend.io

OCTOBER 28, 2024

Data transformation is the process of converting raw data into a usable format to generate insights. Data cleaning is the process of identifying and correcting errors and inconsistencies in the data. Filling in missing values could involve leveraging other company data sources or even third-party datasets.

Raw Data 52

Raw Data Datasets Aggregated Data Data Pipeline 52

Netflix Tech

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

Process 88

Process Data Pipeline Datasets SQL 88

Striim

APRIL 10, 2025

As data volumes surge and the need for fast, data-driven decisions intensifies, traditional data processing methods no longer suffice. This growing demand for real-time analytics, scalable infrastructures, and optimized algorithms is driven by the need to handle large volumes of high-velocity data without compromising performance or accuracy.

Data Analytics 52

Data Analytics Algorithm Datasets Data 52

KDnuggets

APRIL 24, 2023

The impact is proved by the comparison of the ML algorithm on starting and cleaning the dataset. The article shows effective coding procedures for fixing noisy labels in text data that improve the performance of any NLP model.

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Algorithm Datasets Data Coding 134

DareData

JUNE 11, 2024

With its capabilities of efficiently training deep learning models (with GPU-ready features), it has become a machine learning engineer and data scientist’s best friend when it comes to train complex neural network algorithms. In this blog post, we are finally going to bring out the big guns and train our first computer vision algorithm.

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Algorithm Datasets Deep Learning Architecture 52

ProjectPro

FEBRUARY 16, 2023

At the core of such applications lies the science of machine learning, image processing, computer vision, and deep learning. As an example, consider the Facial Image Recognition System, it leverages the OpenCV Python library for implementing image processing techniques. What is OpenCV Python?

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Python Process Deep Learning Algorithm 98

Towards Data Science

AUGUST 29, 2023

Today, we will delve into the intricacies the problem of missing data , discover the different types of missing data we may find in the wild, and explore how we can identify and mark missing values in real-world datasets. Image by Author. Let’s consider an example. Image by Author. Image by Author.

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Datasets Machine Learning Data Data Science 117

Knowledge Hut

JULY 28, 2023

By learning from historical data, machine learning algorithms autonomously detect deviations, enabling timely risk mitigation. Machine learning offers scalability and efficiency, processing large datasets quickly. By taking into account the statistical characteristics of the entire dataset, global outliers are frequently found.

Machine Learning 98

Machine Learning Algorithm Datasets Deep Learning 98

RandomTrees

NOVEMBER 25, 2024

Understanding Generative AI Generative AI describes an integrated group of algorithms that are capable of generating content such as: text, images or even programming code, by providing such orders directly. This article will focus on explaining the contributions of generative AI in the future of telecommunications services.

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Telecommunication IT Unstructured Data Data Mining 52

Edureka

APRIL 28, 2025

Vision Language Models (VLMs) represent a substantial development in machine learning by merging computer vision with natural language processing (NLP) capabilities. Open-source models are often pre-trained on big datasets, allowing developers to fine-tune them for specific tasks or industries.

Datasets 40

Datasets Medical Machine Learning Healthcare 40

Monte Carlo

NOVEMBER 21, 2024

The data teams were maintaining 30,000 datasets, and often found anomalies or issues that had gone unnoticed for months. This meant business teams were operating with less-than-ideal data, and once an incident was detected, the team had to spend painstaking hours reassembling and backfilling datasets.

Government 52

Government Datasets Data Governance Data 52

Monte Carlo

NOVEMBER 21, 2024

The data teams were maintaining 30,000 datasets, and often found anomalies or issues that had gone unnoticed for months. This meant business teams were operating with less-than-ideal data, and once an incident was detected, the team had to spend painstaking hours reassembling and backfilling datasets.

Government 52

Government Datasets Data Governance Data 52

Edureka

JUNE 7, 2024

Generative AI leverages the power of deep learning to build complex statistical models that process and mimic the structures present in different types of data. These models are trained on vast datasets which allow them to identify intricate patterns and relationships that human eyes might overlook.

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Deep Learning Media Algorithm Manufacturing 114

ThoughtSpot

APRIL 7, 2025

Artificial intelligence encompasses a broad spectrum of categories, including machine learning, natural language processing, computer vision, and automated insights. The key question is how to identify relevant columns without accessing the actual dataset. Data filtering algorithms Lets look at the algorithm at work.

Metadata 52

Metadata Algorithm BI Machine Learning 52

Knowledge Hut

FEBRUARY 1, 2024

Movie recommender systems are intelligent algorithms that suggest movies for users to watch based on their previous viewing behavior & preferences. The heart of this system lies in the algorithm used in movie recommendation system. The heart of this system lies in the algorithm used in movie recommendation system.

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Systems Entertainment Algorithm Datasets 98

RandomTrees

MARCH 10, 2025

Let’s explore predictive analytics, the ground-breaking technology that enables companies to anticipate patterns, optimize processes, and reach well-informed conclusions. Revenue Growth: Marketing teams use predictive algorithms to find high-value leads, optimize campaigns, and boost ROI. Want to know more?

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Retail Data Governance Hospitality Banking 52

AltexSoft

MAY 12, 2022

Our brains are constantly processing sounds to give us important information about our environment. Audio analysis is a process of transforming, exploring, and interpreting audio signals recorded by digital devices. Source: Audio Singal Processing for Machine Learning. What is audio analysis? Speech recognition.

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Machine Learning Building Deep Learning Healthcare 122

Knowledge Hut

JULY 4, 2023

Pattern recognition is used in a wide variety of applications, including Image processing, Speech recognition, Biometrics, Medical diagnosis, and Fraud detection. And is used in a wide variety of applications, including image processing, speech recognition, and medical diagnosis.

Machine Learning 98

Machine Learning Medical Algorithm Deep Learning 98

Cloudera

NOVEMBER 17, 2021

TPOT is a library for performing sophisticated search over whole ML pipelines, selecting preprocessing steps and algorithm hyperparameters to optimize for your use case. In the hands of an experienced practitioner, AutoML holds much promise for automating away some of the tedious parts of building machine learning systems.

Machine Learning 124

Machine Learning Algorithm Data Science Retail 124

Engineering at Meta

JUNE 24, 2024

These challenges can make investigating anomalies a complex and time consuming process. AI offers an opportunity to streamline the process, reducing the time needed and helping responders make better decisions. The output across the LLM requests are aggregated and the process is repeated until we have only five candidates left.

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Datasets Coding Systems Algorithm 113

Knowledge Hut

MAY 2, 2024

Machine learning is a field that encompasses probability, statistics, computer science and algorithms that are used to create intelligent applications. Since machine learning is all about the study and use of algorithms, it is important that you have a base in mathematics. It works on a large dataset.

Machine Learning 98

Machine Learning Algorithm Datasets Python 98

Knowledge Hut

MAY 30, 2024

Natural Language Processing Techniques 2. Evolutionary Algorithms and their Applications 9. Machine Learning Algorithms 5. Digital Image Processing: 6. Edge computing, on the other hand, entails processing data close to the generation source, such as sensors and IoT devices. Artificial Intelligence (AI) 11.

Computer Science 98

Computer Science Data Mining Algorithm Machine Learning 98

Monte Carlo

MARCH 13, 2025

To make sure they were measuring real world impacts, Koller and Bosley selected two publicly available datasets characterized by large volumes and imbalanced classifications, reflective of real-world scenarios where classification algorithms often need to detect rare events such as fraud, purchasing intent, or toxic behavior.

Banking 52

Banking Datasets Data Machine Learning 52

Monte Carlo

FEBRUARY 26, 2025

To make sure they were measuring real world impacts, Koller and Bosley selected two publicly available datasets characterized by large volumes and imbalanced classifications, reflective of real-world scenarios where classification algorithms often need to detect rare events such as fraud, purchasing intent, or toxic behavior.

Banking 52

Banking Datasets Data Machine Learning 52

Knowledge Hut

MAY 3, 2024

If you are thinking of a simple, easy-to-implement supervised machine learning algorithm that can be used to solve both classifications as well as regression problems, K-Nearest Neighbors (K-NN) is a perfect choice. K-Nearest Neighbors is one of the most basic supervised machine learning algorithms, yet very essential.

Machine Learning 52

Machine Learning Algorithm Datasets Python 52

Knowledge Hut

MARCH 22, 2024

Understanding data structures and algorithms (DSA) in C++ is key for writing efficient and optimised code. Some basic DSA in C++ that every programmer should know include arrays, linked lists, stacks, queues, trees, graphs, sorting algorithms like quicksort and merge sort, and search algorithms like binary search.

Algorithm 52

Algorithm Programming Data Datasets 52

Knowledge Hut

MAY 2, 2024

To store and process even only a fraction of this amount of data, we need Big Data frameworks as traditional Databases would not be able to store so much data nor traditional processing systems would be able to process this data quickly. Spark is 10-100 times faster because of in-memory processing and its caching mechanism.

Hadoop 96

Hadoop Scala Datasets Java 96

AltexSoft

MAY 27, 2022

In collaboration, they trained random forests — ensemble algorithms consisting of many decision trees — to generate individual forecasts. The tool processes both structured and unstructured data associated with patients to evaluate the likelihood of their leaving for a home within 24 hours. Medical datasets with inpatient details.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

Christophe Blefari

OCTOBER 20, 2023

a lea prepare command that creates database objects that needs to be created (dataset, schema, etc.). 25 million Creative Commons image dataset released — Fondant, an open-source processing framework, released publicly available images from web crawling with their associated license. What are the main differences?

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Generalist Entertainment NoSQL Datasets 130

Christophe Blefari

APRIL 19, 2024

It was trained on a large dataset containing 15T tokens (compared to 2T for Llama 2). Structured generative AI — Oren explains how you can constraint generative algorithms to produce structured outputs (like JSON or SQL—seen as an AST). Llama has a larger tokeniser and the context window grew to 8192 tokens as input.

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MySQL Data Datasets SQL 130