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

Analytics Vidhya

JULY 6, 2023

Building an accurate machine learning and AI model requires a high-quality dataset. Introduction In this era of Generative Al, data generation is at its peak.

Datasets 236

Datasets Machine Learning Building Algorithm 236

LinkedIn Engineering

JUNE 15, 2023

To remove this bottleneck, we built AvroTensorDataset , a TensorFlow dataset for reading, parsing, and processing Avro data. Today, we’re excited to open source this tool so that other Avro and Tensorflow users can use this dataset in their machine learning pipelines to get a large performance boost to their training workloads.

Datasets 102

Datasets Bytes Process Data Ingestion 102

The Pragmatic Engineer

OCTOBER 17, 2024

The historical dataset is over 20M records at the time of writing! This means about 275,000 up-to-date server prices, and around 240,000 benchmark scores. Storing data: data collected is stored to allow for historical comparisons. The cost of benchmarking Given the team has relatively little funding: how much does infrastructure cost?

Cloud 278

Cloud AWS Metadata Cloud Computing 278

Analytics Vidhya

JUNE 12, 2023

Tajinder’s passion for unraveling hidden patterns in complex datasets has driven impactful outcomes, transforming raw data into actionable intelligence. Introduction Meet Tajinder, a seasoned Senior Data Scientist and ML Engineer who has excelled in the rapidly evolving field of data science.

Machine Learning 228

Machine Learning Engineering Raw Data Data Science 228

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.

Algorithm 141

Algorithm Datasets Data Coding 141

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

Cloudera

SEPTEMBER 15, 2021

The edge is a critical component of many digital transformation implementations, and particularly IoT deployments, for three main reasons — immediacy, fast-changing datasets and scalability. ML can stop a transaction if the algorithm detects anomalous behavior indicative of fraud.

Medical 125

Medical Retail Datasets Algorithm 125

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

Christophe Blefari

FEBRUARY 2, 2024

In their datasets product when looking at a dataset you can full text search or see distributions (with bars at the top of columns) and this is powered with DuckDB. Lastly they pre-compute statistics on datasets with DuckDB. HuggingFace is using DuckDB in multiples features to power data exploration in the frontend.

Datasets 130

Datasets Data Lake SQL Algorithm 130

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.

Systems 98

Systems Entertainment Algorithm Datasets 98

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

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

AltexSoft

AUGUST 25, 2021

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. Machine learning (also called statistical ) methods for NLP involve using AI algorithms to solve problems without being explicitly programmed.

Process 139

Process Deep Learning Datasets Machine Learning 139

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. A dataset's anomalies may provide valuable information about inconsistencies, mistakes, fraud, or unusual events.

Machine Learning 98

Machine Learning Algorithm Datasets Deep Learning 98

Analytics Vidhya

JUNE 12, 2023

Tajinder’s passion for unraveling hidden patterns in complex datasets has driven impactful outcomes, transforming raw data into actionable intelligence. Introduction Meet Tajinder, a seasoned Senior Data Scientist and ML Engineer who has excelled in the rapidly evolving field of data science.

Machine Learning 183

Machine Learning Engineering Raw Data Data Science 183

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 128

Machine Learning Algorithm Data Science Retail 128

KDnuggets

FEBRUARY 9, 2022

The algorithms for generating text based 10 blue-links are very different from finding visually similar or related images. We will use the Caltech 101 dataset which contains images of common objects used in daily life. Ever wonder how Google or Bing finds similar images to your image?

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. We will use the Caltech 101 dataset which contains images of common objects used in daily life. Ever wonder how Google or Bing finds similar images to your image?

Engineering 108

Engineering Building Algorithm Datasets 108

Edureka

JUNE 7, 2024

These models are trained on vast datasets which allow them to identify intricate patterns and relationships that human eyes might overlook. From a technical standpoint, generative AI models depend on various architectures and algorithms to achieve their remarkable creative capabilities.

Deep Learning 114

Deep Learning Media Manufacturing Algorithm 114

Knowledge Hut

JULY 4, 2023

By developing algorithms that can recognize patterns automatically, repetitive, or time-consuming tasks can be performed efficiently and consistently without manual intervention. Data analysis and Interpretation: It helps in analyzing large and complex datasets by extracting meaningful patterns and structures.

Machine Learning 98

Machine Learning Medical Algorithm Deep Learning 98

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 Datasets 122

Knowledge Hut

MAY 2, 2024

Fault Tolerance: Apache Spark achieves fault tolerance using a spark abstraction layer called RDD (Resilient Distributed Datasets), which is designed to handle worker node failure. Sample Spark Actions reduce(func): Aggregate the elements of the dataset using a function func (which takes two arguments and returns one).

Hadoop 96

Hadoop Scala Datasets Java 96

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

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 100

Datasets Machine Learning Data Data Science 100

Engineering at Meta

JUNE 24, 2024

We explored different ranking algorithms and prompting scenarios and found that ranking through election was most effective to accommodate context window limitations and enable the model to reason across different changes. Figure 2: The system flow for our AI-assisted root cause analysis system.

Datasets 113

Datasets Coding Algorithm Systems 113

Knowledge Hut

JANUARY 12, 2024

The main agenda is to remove the redundant and dependent features by changing the dataset onto a lower-dimensional space. variables) in a particular dataset while retaining most of the data. Logistic Regression is a simple and powerful linear classification algorithm. In simple terms, they reduce the dimensions (i.e.

Machine Learning 97

Machine Learning Datasets Medical Algorithm 97

AltexSoft

MAY 27, 2022

In collaboration, they trained random forests — ensemble algorithms consisting of many decision trees — to generate individual forecasts. The built-in algorithm learns from every case, enhancing its results over time. You need a robust amount of inpatient information to teach an algorithm to produce accurate forecasts.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

Engineering at Meta

NOVEMBER 12, 2024

Monitoring has given us a distinct advantage in our efforts to proactively detect and remove weak cryptographic algorithms and has assisted with our general change safety and reliability efforts. More generally, improved understanding helps us to make emergency algorithm migrations when a vulnerability of a primitive is discovered.

Algorithm 93

Algorithm Datasets Coding Java 93

Knowledge Hut

JANUARY 18, 2024

Data science is the application of scientific methods, processes, algorithms, and systems to analyze and interpret data in various forms. They can work with various tools to analyze large datasets, including social media posts, medical records, transactional data, and more. What Is Data Science?

Programming Language 98

Programming Language Data Science Programming Java 98

Knowledge Hut

JANUARY 18, 2024

To create prediction models, data scientists employ sophisticated machine learning algorithms. To extract the data, they use algorithms and prediction models to retrieve the data required by the business and aid in data evaluation. It includes a plethora of statistical programs simply applied to datasets.

Data Science 98

Data Science R (Programming) Computer Science Algorithm 98

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

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?

Generalist 130

Generalist Entertainment NoSQL Datasets 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 become a Big Data Engineer, knowledge of Algorithms and Distributed Computing is also desirable.

Data Science 97

Data Science BI Business Intelligence Machine Learning 97

Netflix Tech

NOVEMBER 13, 2023

Practical use cases for speech & music activity Audio dataset preparation Speech & music activity is an important preprocessing step to prepare corpora for training. Nevertheless, noisy labels allow us to increase the scale of the dataset with minimal manual efforts and potentially generalize better across different types of content.

Datasets 94

Datasets Metadata Algorithm Architecture 94

Knowledge Hut

FEBRUARY 29, 2024

Then, based on this information from the sample, defect or abnormality the rate for whole dataset is considered. Hypothesis testing is a part of inferential statistics which uses data from a sample to analyze results about whole dataset or population. While using Amazon SageMaker datasets are quick to access and load.

Data Science 98

Data Science Datasets Machine Learning Database Design 98

Knowledge Hut

DECEMBER 22, 2023

A dataset is frequently represented as a matrix. Statistics Statistics are at the heart of complex machine learning algorithms in data science, identifying and converting data patterns into actionable evidence. Data science uses machine learning algorithms like Random Forests, K-nearest Neighbors, Naive Bayes, Regression Models, etc.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98