ProjectPro

JANUARY 15, 2021

And honestly, there are a lot of real-world machine learning datasets around you that you can opt to start practicing your fundamental data science and machine learning skills, even without having to complete a comprehensive data science or machine learning course. Table of Contents What is a dataset in machine learning?

Datasets 40

Datasets Machine Learning Retail Banking 40

Knowledge Hut

APRIL 23, 2024

It involves processing and analyzing massive datasets that cannot be managed with traditional data processing techniques. It involves working with datasets that can be managed using standard hardware and software without the need for complex infrastructure.

Big Data 52

Big Data Datasets Data Analysis Media 52

ProjectPro

FEBRUARY 5, 2021

Nonetheless, it is an exciting and growing field and there can't be a better way to learn the basics of image classification than to classify images in the MNIST dataset. Table of Contents What is the MNIST dataset? Test the Trained Neural Network Visualizing the Test Results Ending Notes What is the MNIST dataset?

Datasets 40

Datasets Deep Learning Medical Algorithm 40

Analytics Vidhya

FEBRUARY 6, 2023

It is a core component of the Apache Hadoop ecosystem and allows for storing and processing large datasets across multiple commodity servers. It provides high-throughput access to data and is optimized for […] The post A Dive into the Basics of Big Data Storage with HDFS appeared first on Analytics Vidhya.

Data Storage 185

Data Storage Big Data Hadoop Datasets 185

Knowledge Hut

APRIL 23, 2024

With the help of big data analytics, we can gain insights from large datasets and reveal previously concealed patterns, trends, and correlations. Big data refers to large volumes of data or datasets that cannot be gleaned or parsed with traditional tools and methods. Big data has revolutionized the world of data science altogether.

Big Data 52

Big Data Media Datasets Unstructured Data 52

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 87

Data Science Datasets Database Design Machine Learning 87

Start Data Engineering

JUNE 30, 2023

Creating dataset(s) 3.1.1. Accessing data 3.3. Introduction 2. What is self-serve? Components of a self-serve platform 3. Building a self-serve data platform 3.1. Gather requirements 3.1.2. Get data foundations right 3.2. Identify and remove dependencies 4. Conclusion 5. Further reading 6. References 1.

Building 130

Building Datasets Data Accessible 130

Snowflake

JUNE 28, 2023

External Network Access (PrPr) – Allows users to seamlessly connect to external endpoints from their Snowpark code (UDFs/UDTFs and Stored procedures) while maintaining high security and governance. Modeling: Train models for popular scikit-learn and xgboost models directly on data in Snowflake.

Python 52

Python Accessible Accessibility Pipeline-centric 52

KDnuggets

APRIL 8, 2024

Access Mistral’s latest open-source model and fine-tune it on a custom dataset.

Datasets 94

Datasets Accessible Accessibility IT 94

Christophe Blefari

APRIL 14, 2023

Mainly they define measures, dimensions and metrics in YAML that will be materialised and made accessible to Curie (their experimentation platform). Cybersyn is a data-as-a-service platform that provides public datasets for everyone. You can see it as a datasets marketplace of common public data. Rupert raises $8m in funding.

Datasets 130

Datasets Data Deep Learning SQL 130

Snowflake

APRIL 24, 2024

Members of the Snowflake AI Research team pioneered systems such as ZeRO and DeepSpeed , PagedAttention / vLLM , and LLM360 which significantly reduced the cost of LLM training and inference, and open sourced them to make LLMs more accessible and cost-effective for the community. license provides ungated access to weights and code.

Amazon Web Services 145

Amazon Web Services SQL AWS Architecture 145

ThoughtSpot

MARCH 5, 2024

These tables provide a centralized location to host both your raw data and transformed datasets optimized for AI-powered analytics with ThoughtSpot. Grant ThoughtSpot access In Snowflake, grant the ThoughtSpot service account USAGE privileges on the schemas containing the dynamic tables. Set refresh schedules as needed.

BI 94

BI Datasets Raw Data SQL 94

Azure Data Engineering

JULY 16, 2022

As seen in the screenshot below, the main settings for the web activity are as follows: Azure Data Factory: Web Activity URL: This is the REST API endpoint address that we would like to access/invoke. Datasets: Datasets that we would like to pass to the REST API. Method: REST API method for the endpoint e.g. GET, POST, PUT etc.

Datasets 130

Datasets Certification Data Coding 130

Ascend.io

FEBRUARY 15, 2024

They play a pivotal role in ensuring data consistency, accuracy, and accessibility because they don’t just clone your data once; it’s an ongoing strategy to keep multiple, identical copies of your data in sync across various sources. Large datasets bring challenges in terms of processing power and storage needs.

Datasets 52

Datasets Database Data Warehouse Data 52

KDnuggets

MARCH 13, 2023

Use these tools to Access API, Manipulate CSV files, download datasets, and more from your terminal.

Data Science 151

Data Science Datasets Accessible Accessibility 151

Knowledge Hut

APRIL 25, 2024

The IT departments no longer have exclusive access to information. BI Reports allow viewers to access the data that underlies charts and visualizations for additional analysis, making them more interactive than static Excel reports. Check the best Business intelligence certifications that will help upgrade and upskill your career.

Business Intelligence 52

Business Intelligence BI Raw Data Data Lake 52

Towards Data Science

JANUARY 7, 2024

Data profiling gives us statistics about different columns in our dataset. Table of contents Components of whylogs Environment setup Understanding the dataset Getting started with PySpark Data profiling with whylogs Data validation with whylogs Components of whylogs Let’s begin by understanding the important characteristics of whylogs.

Data Pipeline 80

Data Pipeline Hospitality Data Validation Datasets 80

Towards Data Science

FEBRUARY 6, 2024

Accessing Operational Data I used to connect to views in transactional databases or APIs offered by operational systems to request the raw data. Discoverability : A shared data platform provides a catalog of operational datasets in the form of source-aligned data products that helped me to understand the status and nature of the data exposed.

Systems 82

Systems Raw Data Data Cleanse Metadata 82

Cloudyard

APRIL 24, 2024

To address this concern, Cloudyard implements an aggregation policy on the shared transaction dataset. Data Consumption by Vishal: Access the shared view containing summarized transaction data. Allowed Queries for Vishal (Consumer): Vishal can access the shared tables containing summarized transaction data.

Aggregated Data 52

Aggregated Data Datasets Accessible Accessibility 52

Hevo

MARCH 28, 2024

If you have large datasets in JSON format, consider migrating them to SQL Server. You can optimize data querying by accessing JSON data […] Analyzing business data can help you gain insights to generate reports and create a strategic business plan. SQL Server enhances data analysis through its orderly storage structure.

SQL 52

SQL Data Integration Datasets Data Analysis 52

Pinterest Engineering

JANUARY 4, 2024

It is written in C++ and offers bindings for several programming languages, making it accessible for developers in different environments. Individual rows constitute a dataset. Row key uniquely identifies a row in a dataset. RocksDB is a single node key value store. Row consists of pairs of column names and values called items.

Database 76

Database Building Datasets Relational Database 76

Knowledge Hut

APRIL 23, 2024

These abilities are necessary to ensure that data is organized, secure, and readily accessible. A solid foundation in database management enables professionals to deal with large datasets and interpret intricate data structures. This allows businesses to extract valuable insights from their data.

Database 52

Database Management Relational Database SQL 52

Databand.ai

MAY 30, 2023

With access to accurate and dependable data, business leaders can make informed decisions that promote growth and profitability. Scope: Data quality primarily deals with dataset content, while data integrity is more concerned with the overall system architecture and processes that ensure consistency across different platforms or applications.

Data Cleanse 85

Data Cleanse Datasets Data Governance Data Validation 85

Towards Data Science

OCTOBER 21, 2023

Especially if you’ve used OSMnx before (for very similar usecases), you know that large datasets take a very long time to load into memory, which is where PyrOSM can help you work with them. Let’s get into what this library can do! ? PBF Data Let’s talk a bit about the specific file format that OSM data comes in. Thanks for reading!

Datasets 77

Datasets Data Data Science Python 77

Towards Data Science

NOVEMBER 4, 2023

Indeed, datalakes can store all types of data including unstructured ones and we still need to be able to analyse these datasets. DATASET = 'staging' #'analytics' TABLE_NAME = 'recommendation_bespoke' # GCS bucket names and region, can also be changed. Datalake example. Image by author.

Data Engineering 85

Data Engineering Data Engineer Engineering BI 85

Knowledge Hut

JANUARY 24, 2024

Data Sources Tableau Software can access many data sources and servers. Provides Great Security Data connections and user access feature a fail-safe security system based on authentication and authorization mechanisms. Users can access a range of resources for issue resolution and guidance.

BI 97

BI Business Intelligence Non-relational Database Data Analysis 97

Cloudera

DECEMBER 13, 2023

The marketplace delivers a data-centric operating environment by increasing data accessibility and enabling advanced analytics. The seamless inflow of retained and external datasets via CDP allows teams to create datasets locally and make them available for others to consume without the need for assistance from data engineers.

Pipeline-centric 89

Pipeline-centric Professional Services Datasets BI 89

KDnuggets

APRIL 20, 2022

One-stop shop to learn about state-of-the-art research papers with access to open-source resources including machine learning models, datasets, methods, evaluation tables, and code.

Coding 128

Coding Datasets Machine Learning Accessible 128

RandomTrees

APRIL 12, 2024

Incorporate New Data By refreshing the training dataset through retraining, machine learning models gain exposure to the latest examples and patterns present in the data. The Essential Role of Retraining In summary, regularly updating and refining models through retraining is crucial in MLOps.

Machine Learning 52

Machine Learning Datasets Systems Process 52

Engineering at Meta

FEBRUARY 20, 2024

Why we need a composable data management system Meta’s data engines support large-scale workloads that include processing large datasets offline (ETL), interactive dashboard generation, ad hoc data exploration, and stream processing. The result combines the efficiency and agility offered by Velox with the widely-used Apache standard.

Data Management 95

Data Management Bytes Management Datasets 95

RandomTrees

FEBRUARY 2, 2024

GPT-based data engineering accelerators make the working of data more accessible. They use intelligent language interfaces and make data accessible to more people. It creates summaries of large datasets and identifies anomalies in data. These accelerators combine information from different sources.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Pipeline 52

Knowledge Hut

MARCH 27, 2024

These are the situations where having a lot of data stored in one location and being able to access it quickly are necessary. Examples MySQL, PostgreSQL, MongoDB Arrays, Linked Lists, Trees, Hash Tables Scaling Challenges Scales well for handling large datasets and complex queries. What is a Data Structure? How Are They Similar?

Database 52

Database Algorithm Relational Database PostgreSQL 52

Edureka

FEBRUARY 8, 2024

In-Memory Caching- Memory-optimized instances are suitable for in-memory caching solutions, enhancing the speed of data access. Big Data Processing- Workloads involving large datasets, analytics, and data processing can benefit from the enhanced memory capacity provided by M-Series instances.

AWS 52

AWS NoSQL Deep Learning Datasets 52

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. Likewise, authoring accessibility-features like Audio Description (AD) involves music and speech segmentation. Let’s have a look at a few applications.

Datasets 89

Datasets Metadata Algorithm Architecture 89

RandomTrees

MARCH 22, 2024

This format poses difficulties for analysis and querying since the data is not readily accessible or organized. Now, the data is structured in a more accessible format, allowing for easier querying and analysis. Address Parsing : In datasets containing addresses stored as delimited strings (e.g.,

Media 52

Media Healthcare Electronics Datasets 52

Data Engineering Weekly

APRIL 7, 2024

We index only top-tier tables, promoting the use of these higher-quality datasets. The model is trained using a dataset of code-diagnostic pairs and fine-tuned to predict line diffs that correct LSP-identified errors, showing promising results against larger models and existing benchmarks.

Data Engineering 70

Data Engineering Data Engineer Engineering Unstructured Data 70

DareData

FEBRUARY 28, 2024

In this post of the PyTorch Introduction, we’ll learn how to use custom datasets with PyTorch, particularly tabular, vision and text data PyTorch is one of the hottest libraries in the Deep Learning field right now. We’ve used few custom datasets in our examples and previous blog posts. Let’s start!

Datasets 52

Datasets Deep Learning Data Machine Learning 52