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?

Datasets 96

Datasets Data Science Project Machine Learning 96

KDnuggets

FEBRUARY 9, 2022

The algorithms for generating text based 10 blue-links are very different from finding visually similar or related images. In this article, we will explain one such method to build a visual search engine. We will use the Caltech 101 dataset which contains images of common objects used in daily life.

Building 108

Building Engineering Algorithm Datasets 108

KDnuggets

FEBRUARY 17, 2022

The algorithms for generating text based 10 blue-links are very different from finding visually similar or related images. In this article, we will explain one such method to build a visual search engine. We will use the Caltech 101 dataset which contains images of common objects used in daily life.

Engineering 108

Engineering Building Algorithm Datasets 108

Data Engineering Weekly

JANUARY 15, 2025

Images and Videos: Computer vision algorithms must analyze visual content and deal with noisy, blurry, or mislabeled datasets. Beyond technical tasks, AI Data Engineers uphold ethical standards and privacy requirements, making their contributions vital to building trustworthy AI systems.

Data Engineer 62

Data Engineer Data Engineering Unstructured Data Engineering 62

Snowflake

APRIL 20, 2023

Snowflake users are already taking advantage of LLMs to build really cool apps with integrations to web-hosted LLM APIs using external functions , and using Streamlit as an interactive front end for LLM-powered apps such as AI plagiarism detection , AI assistant , and MathGPT. Join us in Vegas at our Summit to learn more.

Building 137

Building Unstructured Data Government Coding 137

AltexSoft

MAY 12, 2022

Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms. Another application of musical audio analysis is genre classification: Say, Spotify runs its proprietary algorithm to group tracks into categories (their database holds more than 5,000 genres ).

Machine Learning 122

Machine Learning Building Deep Learning Healthcare 122

Pinterest Engineering

SEPTEMBER 20, 2023

These teams work together to ensure algorithmic fairness, inclusive design, and representation are an integral part of our platform and product experience. Our commitment is evidenced by our history of building products that champion inclusivity. “Everyone” has been the north star for our Inclusive AI and Inclusive Product teams.

Building 109

Building Pipeline-centric Machine Learning Datasets 109

DataKitchen

NOVEMBER 5, 2024

The Medallion architecture is a framework that allows data engineers to build organized and analysis-ready datasets in a lakehouse environment. For instance, suppose a new dataset from an IoT device is meant to be ingested daily into the Bronze layer. How do you ensure data quality in every layer?

Architecture 78

Architecture Raw Data Pipeline-centric Data Ingestion 78

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. These insights have shaped the design of our foundation model, enabling a transition from maintaining numerous small, specialized models to building a scalable, efficient system.

Metadata 66

Metadata Bytes Entertainment Data Mining 66

LinkedIn Engineering

DECEMBER 20, 2023

At LinkedIn, trust is the cornerstone for building meaningful connections and professional relationships. By leveraging cutting-edge technologies, machine learning algorithms, and a dedicated team, we remain committed to ensuring a secure and trustworthy space for professionals to connect, share insights, and foster their career journeys.

Building 91

Building Algorithm Kafka Machine Learning 91

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

Monte Carlo

NOVEMBER 21, 2024

But since 2020, Skyscanner’s data leaders have been on a journey to simplify and modernize their data stack — building trust in data and establishing an organization-wide approach to data and AI governance along the way. The data teams were maintaining 30,000 datasets, and often found anomalies or issues that had gone unnoticed for months.

Government 52

Government Datasets Data Governance Data 52

Monte Carlo

NOVEMBER 21, 2024

But since 2020, Skyscanner’s data leaders have been on a journey to simplify and modernize their data stack — building trust in data and establishing an organization-wide approach to data and AI governance along the way. The data teams were maintaining 30,000 datasets, and often found anomalies or issues that had gone unnoticed for months.

Government 52

Government Datasets Data Governance Data 52

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.

Algorithm 52

Algorithm Datasets Deep Learning Architecture 52

AltexSoft

AUGUST 25, 2021

Tools you can use to build NLP models. But today’s programs, armed with machine learning and deep learning algorithms, go beyond picking the right line in reply, and help with many text and speech processing problems. In NLP tasks, this process is called building a corpus. Preparing an NLP dataset. Main NLP use cases.

Process 139

Process Deep Learning Datasets Machine Learning 139

Knowledge Hut

FEBRUARY 1, 2024

Today, we’ll talk about how Machine Learning (ML) can be used to build a movie recommendation system - from researching data sets & understanding user preferences all the way through training models & deploying them in applications. The heart of this system lies in the algorithm used in movie recommendation system.

Systems 98

Systems Entertainment Algorithm Datasets 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. The telecom field is at a promising stage, and generative AI is leading the way in this stimulating quest to build new innovations.

Telecommunication 52

Telecommunication IT Unstructured Data Data Mining 52

Ascend.io

OCTOBER 28, 2024

Filling in missing values could involve leveraging other company data sources or even third-party datasets. Data Normalization Data normalization is the process of adjusting related datasets recorded with different scales to a common scale, without distorting differences in the ranges of values.

Raw Data 52

Raw Data Datasets Aggregated Data Data Pipeline 52

Netflix Tech

AUGUST 11, 2020

These methods can provide rich information for decision making, such as in experimentation platforms (“XP”) or in algorithmic policy engines. Computation can explode and become overwhelming when this is done with large datasets, with high dimensional features, with many possible actions to choose from, and with many responses.

Algorithm 95

Algorithm Software Engineer Software Engineering Datasets 95

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. For that matter, we’ll take a look at the adolescent tobacco study example , used in the paper. Image by Author.

Datasets 117

Datasets Machine Learning Data Data Science 117

Cloudera

NOVEMBER 17, 2021

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

Machine Learning 124

Machine Learning Algorithm Data Science Retail 124

LinkedIn Engineering

MARCH 21, 2023

One of the most exciting parts of our work is that we get to play a part in helping progress a skills-first labor market through our team’s ongoing engineering work in building our Skills Graph. soft or hard skill), descriptions of the skill (“the study of computer algorithms…”), and more. What is the skills taxonomy?

Building 85

Building Recruitment Machine Learning Deep Learning 85

Monte Carlo

JANUARY 13, 2025

Certify your datasets 6. To treat any data asset as a product means combining a useful dataset with product management, a domain semantic layer, business logic, and access to deliver a final product thats appropriate and reliable for a given business use-case. Data contracts can help keep a log of changes to a dataset as well.

Data 52

Data Datasets Government Machine Learning 52

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.

MySQL 130

MySQL Data Datasets SQL 130

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.

Deep Learning 114

Deep Learning Media Manufacturing Algorithm 114

Edureka

MARCH 27, 2025

CycleGAN, unlike traditional GANs, does not require paired datasets, in which each image in one domain corresponds to an image in another. CycleGAN is a framework for building image-to-image translation models without using paired samples. What is CycleGAN? Collecting such information can be time-consuming and costly.

Datasets 40

Datasets Medical Architecture Algorithm 40

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

This method is effective, but it can significantly increase the completion times for operations with a single failure also In Spark, RDDs are the building blocks and Spark also uses it RDDs and DAG for fault tolerance. Dynamic nature: Spark offers over 80 high-level operators that make it easy to build parallel apps.

Hadoop 96

Hadoop Scala Datasets Java 96

Edureka

JANUARY 21, 2025

Since we know the applications of predictive model let us see how to build it. How do you build a predictive model in Python? Read the Dataset Assemble your info into a DataFrame with pandas. Example: Load a CSV file data = pd.read_csv('data.csv') print(data.head()) # Display the first few rows of the dataset 3.

Python 52

Python Datasets Machine Learning Certification 52

Knowledge Hut

JULY 4, 2023

To build a strong foundation and to stay updated on the concepts of Pattern recognition you can enroll in the Machine Learning course that would keep you ahead of the crowd. Data analysis and Interpretation: It helps in analyzing large and complex datasets by extracting meaningful patterns and structures. What Is Pattern Recognition?

Machine Learning 98

Machine Learning Medical Algorithm Deep Learning 98

AltexSoft

OCTOBER 30, 2021

Data scientists today are business-oriented analysts who know how to shape data into answers, often building complex machine learning models. They’re integral specialists in data science projects and cooperate with data scientists by backing up their algorithms with solid data pipelines. Choosing an algorithm. Let’s explore it.

Data Engineer 98

Data Engineer Data Engineering Engineering Machine Learning 98

Rockset

MARCH 18, 2024

Building a real-time, contextual and trustworthy knowledge base for AI applications revolves around RAG pipelines. Indexing vectors: Indexing algorithms can help to search across billions of vectors quickly and efficiently. What are the challenges building RAG pipelines? They also need to be designed for real-time updates.

Cloud 64

Cloud Building Metadata Kafka 64

U-Next

MARCH 1, 2023

Artificial Intelligence Projects for Beginners Building an AI system involves mirroring human traits and skills in a machine and then utilizing its computational power to outperform our skills. Datasets are obtained, and forecasts are made using a regression approach. Let’s get started on this.

Project 96

Project Medical Banking Healthcare 96

Knowledge Hut

MAY 31, 2023

The development process may include tasks such as building and training machine learning models, data collection and cleaning, and testing and optimizing the final product. Stock prediction aims to use AI to build models that can analyze historical stock data, spot patterns and trends, and forecast future prices.

Project 96

Project Healthcare Deep Learning Transportation 96

Knowledge Hut

MAY 30, 2024

Evolutionary Algorithms and their Applications 9. Machine Learning Algorithms 5. Machine Learning: Algorithms, Real-world Applications, and Research Directions Machine learning is the superset of Artificial Intelligence; a ground-breaking technology used to train machines to mimic human action and work. Data Mining 12.

Computer Science 98

Computer Science Data Mining Algorithm Machine Learning 98

Christophe Blefari

MARCH 22, 2024

On my side I'll talk about Apache Superset and what you can do to build a complete application with it. Capslocks and repetitions to make the algorithm understand. Commun Corpus — A HuggingFace dataset collection including public domain texts, newspapers and books in a lot of languages. Now give me the news.

Electronics 130

Electronics Data Media Python 130

Knowledge Hut

DECEMBER 26, 2023

These skills are essential to collect, clean, analyze, process and manage large amounts of data to find trends and patterns in the dataset. The dataset can be either structured or unstructured or both. To build these necessary skills, a comprehensive course from a reputed source is a great place to start.

Data Science 97

Data Science BI Machine Learning Business Intelligence 97