KDnuggets

MARCH 17, 2022

Check out this article on using CTGANs to create synthetic datasets for reducing privacy risks, training and testing machine learning models, and developing data-centric AI products.

Datasets 137

Datasets Machine Learning Data Data Science 137

KDnuggets

JANUARY 15, 2022

In our first weekly roundup of data science nuggets from around the web, check out a list of curated articles on Kaggle datasets, Python debugging tools, what it is data scientists do, an overview of YOLO, 2-dimensional PyTorch tensors, and the secrets of machine learning deployment.

Datasets 158

Datasets Data Science Python Machine Learning 158

KDnuggets

MARCH 9, 2020

Upgrading your machine learning, AI, and Data Science skills requires practice. To practice, you need to develop models with a large amount of data. Finding good datasets to work with can be challenging, so this article discusses more than 20 great datasets along with machine learning project ideas for you to tackle today.

Datasets 152

Datasets Machine Learning Project Data Science 152

LinkedIn Engineering

JUNE 15, 2023

However, we found that many of our workloads were bottlenecked by reading multiple terabytes of input data. To remove this bottleneck, we built AvroTensorDataset , a TensorFlow dataset for reading, parsing, and processing Avro data. Avro serializes or deserializes data based on data types provided in the schema.

Datasets 102

Datasets Bytes Process Data Ingestion 102

KDnuggets

JULY 17, 2023

A guide to using ChatGPT for exploratory data analysis. Use ChatGPT to explore a dataset, generate visualizations, and gain insights.

Datasets 79

Datasets Data Analysis Data Data Science 79

Christophe Blefari

MARCH 15, 2024

Saying mainly that " Sora is a tool to extend creativity " Last point Mira has been mocked and criticised online because as a CTO she wasn't able to say on which public / licensed data Sora has been trained on. Pandera, a data validation library for dataframes, now supports Polars. This is Croissant.

Metadata 272

Metadata Datasets Data Data Warehouse 272

ArcGIS

FEBRUARY 27, 2023

you can use the Append tool to upsert (update and insert) a target dataset with data from a new or updated dataset. In ArcGIS Pro 3.1,

Datasets 104

Datasets Data Data Management Government 104

Data Engineering Podcast

JUNE 26, 2022

Summary The proliferation of sensors and GPS devices has dramatically increased the number of applications for spatial data, and the need for scalable geospatial analytics. Atlan is the metadata hub for your data ecosystem. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Datasets 130

Datasets Unstructured Data Metadata MongoDB 130

Towards Data Science

MAY 15, 2023

Programmatically list all datasets and tables using BigQuery API and Python Continue reading on Towards Data Science »

Datasets 87

Datasets Python Data Science Google Cloud 87

Ascend.io

MAY 23, 2023

The data engineering world is full of tips and tricks on how to handle specific patterns that recur with every data pipeline. A prime example of such patterns is orphaned datasets. Typically, these orphaned datasets are addressed with ad-hoc manual protocols and after-the-fact garbage collection processes.

Datasets 52

Datasets Data Pipeline Metadata Database 52

Towards Data Science

MARCH 29, 2023

Turbo and GPT-4 for Predicting Humanitarian Data Categories Image created by Stable Diffusion with prompt ‘Predicting Cats’. Turbo and GPT-4 to categorize datasets without the need for labeled data or model training, by prompting the model with data excerpts and category definitions. Using GPT-3.5-Turbo

Datasets 63

Datasets Food Retail Hospitality 63

InData Labs

APRIL 4, 2022

RDD (Resilient Distributed Dataset). The main approach to work with unstructured data. Запись Converting Spark RDD to DataFrame and Dataset впервые появилась InData Labs. First, we will provide you with a holistic view of all of them in one place. Second, we will explore each option with examples.

Datasets 52

Datasets Unstructured Data Data IT 52

databricks

OCTOBER 17, 2023

Introduction Large Language Models (LLMs) have given us a way to generate text, extract information, and identify patterns in industries from healthcare to.

Datasets 95

Datasets Healthcare Data 95

KDnuggets

SEPTEMBER 18, 2023

Using exploratory data analysis to wnderstand missing data gaps.

Datasets 98

Datasets Data Analysis Data Data Science 98

Waitingforcode

APRIL 11, 2024

Data enrichment is a crucial step in making data more usable by the business users. Doing that with a batch is relatively easy due to the static nature of the dataset. When it comes to streaming, the task is more challenging.

Datasets 130

Datasets Data IT 130

Databand.ai

SEPTEMBER 12, 2022

How to analyze dataset performance and schema changes in Databand Eric Jones 2022-09-12 13:06:42 “Why did my dataset schema change?” Unfortunately, most data engineers don’t realize the schema has changed until someone else downstream tells them. Dataset overview Now we’re in an overview of this dataset’s performance.

Datasets 52

Datasets Metadata Data Engineering Data Engineer 52

Christophe Blefari

APRIL 19, 2024

easy ( credits ) Hey, new Friday, new Data News. It was trained on a large dataset containing 15T tokens (compared to 2T for Llama 2). How we build Slack AI to be secure and private — How Slack uses VPC and Amazon SageMaker with your data secured and private. But don't worry it gonna be out soon.

MySQL 130

MySQL Data Datasets SQL 130

ArcGIS

NOVEMBER 8, 2023

Terrain datasets as ground—Create scenes in ArcGIS Pro and publish to ArcGIS Online

Datasets 67

Datasets Analytics Architecture Data Management Architecture 67

AltexSoft

OCTOBER 18, 2022

Everyday the global healthcare system generates tons of medical data that — at least, theoretically — could be used for machine learning purposes. Regardless of industry, data is considered a valuable resource that helps companies outperform their rivals, and healthcare is not an exception. Medical data labeling. Let’s sum up.

Medical 52

Medical Datasets Machine Learning Hospitality 52

Data Engineering Podcast

MAY 26, 2024

When that system is responsible for the data layer the process becomes more challenging. Sriram Panyam has been involved in several projects that required migration of large volumes of data in high traffic environments. Can you start by sharing some of your experiences with data migration projects?

Systems 130

Systems Data Lake High Quality Data Google Cloud 130

Analytics Vidhya

JULY 6, 2023

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

Datasets 236

Datasets Machine Learning Building Algorithm 236

Analytics Vidhya

FEBRUARY 23, 2023

Introduction Big Data is a large and complex dataset generated by various sources and grows exponentially. It is so extensive and diverse that traditional data processing methods cannot handle it. The volume, velocity, and variety of Big Data can make it difficult to process and analyze.

Big Data Tools 234

Big Data Tools Big Data Datasets Data 234

Analytics Vidhya

JUNE 12, 2023

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

Machine Learning 228

Machine Learning Engineering Raw Data Data Science 228

Netflix Tech

OCTOBER 16, 2019

By Ammar Khaku Introduction In a microservice architecture such as Netflix’s, propagating datasets from a single source to multiple downstream destinations can be challenging. One example displaying the need for dataset propagation: at any given time Netflix runs a very large number of A/B tests.

Datasets 75

Datasets Metadata Bytes Machine Learning 75

Christophe Blefari

JULY 15, 2023

Have fun train models on this ( credits ) Hey, it's Saturday I hope you're enjoying July, taking deserve break, reading data engineering articles while at the beach or traveling to unknown places. And it's honestly a great dataset but it's a bit hard to download and format all the data for exploration.

Datasets 130

Datasets Python Machine Learning Data 130

Christophe Blefari

OCTOBER 20, 2023

Read my dbt multi-project guide 📺 On the content side I'll also present next week the Fancy Data Stack project at the Data Engineering And Machine Learning Summit 2023 organised by Seattle Data Guy. a lea prepare command that creates database objects that needs to be created (dataset, schema, etc.).

Generalist 130

Generalist Entertainment NoSQL Datasets 130

Analytics Vidhya

FEBRUARY 5, 2023

Introduction In this technical era, Big Data is proven as revolutionary as it is growing unexpectedly. According to the survey reports, around 90% of the present data was generated only in the past two years. Big data is nothing but the vast volume of datasets measured in terabytes or petabytes or even more.

Big Data 205

Big Data Hadoop Datasets Data 205

Towards Data Science

MAY 28, 2023

Clean, process and tokenise texts in milliseconds using in-built Polars string expressions Continue reading on Towards Data Science »

Datasets 67

Datasets Process Data Science Data 67

Towards Data Science

AUGUST 29, 2023

Data Quality Chronicles Missing data, missing mechanisms, and missing data profiling Missing Data prevents data scientists to see the entire story the data has to tell. One of them was, unsurprisingly, Missing Data. Photo by Ronan Furuta on Unsplash. Image by Author. Let’s consider an example.

Datasets 104

Datasets Machine Learning Data Data Science 104

Christophe Blefari

OCTOBER 14, 2023

( credits ) Hello, dear Data News reader, I hope you'll enjoy this new edition. Then Marc Lamberti gave a huge update about Airflow but done differently — It wasn't about slides with a list of new features but rather about how you can write, in 2023, a data pipeline with Airflow.

Python 130

Python Datasets Data Data Ingestion 130

Christophe Blefari

APRIL 5, 2024

Lost between ideas ( credits ) Hey, new Data News edition. MDS Fest is a free virtual 5 days conference about Modern Data Stack topics, a lot of awesome speakers, there are a few talks I can't wait to watch. It shows a few RAGs, Agents and parsers on documents to retrieve the data you need. But here we are.

SQL 130

SQL Data Python Datasets 130

Christophe Blefari

APRIL 14, 2023

Anyway, here the weekly Data News, written faster than usual. Hot takes on the Modern Data Stack — Matt gives 5 hot takes about the MDS. This time he writes about the new marketing approach of the modern data stack ecosystem. Data Economy 💰 Cybersyn raises $62.9m Rupert raises $8m in funding.

Datasets 130

Datasets Data Deep Learning SQL 130

Analytics Vidhya

JUNE 12, 2023

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

Machine Learning 183

Machine Learning Engineering Raw Data Data Science 183

Knowledge Hut

FEBRUARY 29, 2024

Being a data scientist means constantly growing, enabling businesses to become more data-propelled, and learning newer trends and tools. There are various excellent resources in data science that can help you to develop your skillset. So, having the right knowledge of tools and technology is important for handling such data.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

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. But yes, there is definitely no other alternative to data science and machine learning projects. Table of Contents What is a dataset in machine learning?

Datasets 40

Datasets Machine Learning Retail Banking 40

Towards Data Science

MARCH 2, 2024

The primary objective here is to establish a metric that can effectively measure the cleanliness level of a dataset, translating this concept into a concrete optimisation problem. Detecting Data Errors: Where are we and what needs to be done? ) or HoloClean: Holistic Data Repairs with Probabilistic Inference ).

Datasets 61

Datasets Data Data Science Python 61

Knowledge Hut

APRIL 23, 2024

In today's data-driven world, the volume and variety of information are growing unprecedentedly. As organizations strive to gain valuable insights and make informed decisions, two contrasting approaches to data analysis have emerged, Big Data vs Small Data.

Big Data 52

Big Data Datasets Data Analysis Media 52