DataKitchen

DECEMBER 9, 2022

The fairy was carrying a DataOps wand, and she waved it over the messy data, transforming it into a clean and organized dataset. Query> An AI, Chat GPT wrote this blog post, why should I read it? . Query> Why are the authors of this blog so lazy that they could not write this themselves? .

Machine Learning 52

Machine Learning Data Preparation Government Data Analytics 52

Data Engineering Weekly

NOVEMBER 11, 2024

The blog outlines two main approaches for building these models: the Unified Embedding Decoder Architecture and the Cross-Modality Attention Architecture. The blog highlights the importance of iterating on this process, continuously refining the LLM judge by learning from the expert's insights, and ensuring alignment with business goals.

Data Engineering 57

Data Engineering Data Engineer Engineering Datasets 57

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?

Machine Learning 40

Machine Learning Datasets Retail Banking 40

Netflix Tech

NOVEMBER 12, 2024

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. For more information regarding this, refer to our previous blog.

Datasets 89

Datasets Computer Science Systems Kafka 89

Cloudera

SEPTEMBER 18, 2024

InDaiX is being evaluated as an extension of Cloudera to include: Datasets Exchange: Industry Datasets: Comprehensive datasets across various domains, including healthcare, finance, and retail. Synthetic Datasets: High-quality synthetic data generated using state-of-the-art techniques, ensuring privacy and compliance.

Datasets 84

Datasets Retail Healthcare Finance 84

Pinterest Engineering

OCTOBER 11, 2024

In Part 2 of our blog series, we described how we were able to integrate Ray(™) into our existing ML infrastructure. In this blog post, we will discuss a second type of popular application of Ray(™) at Pinterest: offline batch inference of ML models. Dataset execution is pipelined so that multiple execution stages can run in parallel.

Datasets 63

Datasets Software Engineering Software Engineer Metadata 63

databricks

SEPTEMBER 24, 2024

This blog post explores how to create a Genie space using a World of Warcraft dataset, enabling users to interactively query data and gain insights like a data analyst. Unlock the potential of your data with Databricks' AI/BI Genie spaces!

BI 85

BI Datasets Data Analysis Entertainment 85

Data Engineering Weekly

JULY 7, 2024

The blog highlights the advantages of GNN over traditional machine learning models, which struggle to discern relationships between various entities, such as users and restaurants, and edges, such as order. The blog gives an overview of statistical techniques used in drift detection.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Lake 98

Christophe Blefari

APRIL 19, 2024

It was trained on a large dataset containing 15T tokens (compared to 2T for Llama 2). This blog shows how you can use Gen AI to evaluate inputs like translations with added reasons. — A great blog to answer a great question. Llama has a larger tokeniser and the context window grew to 8192 tokens as input.

MySQL 130

MySQL Data Datasets SQL 130

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. It offers various blogs based on above mentioned technology in alphabetical order.

Data Science 98

Data Science Datasets Machine Learning Database Design 98

KDnuggets

JULY 5, 2024

In this blog, we will define Pandas and provide an example of how you can vectorize your Python code to optimize dataset analysis using Pandas to speed up your code over 300x times faster.

Python 95

Python Datasets Coding 95

KDnuggets

NOVEMBER 30, 2023

The blog discusses five platforms designed for data scientists with specialized capabilities in managing large datasets, models, workflows, and collaboration beyond what GitHub offers.

Data Science 124

Data Science Project Datasets Data 124

Netflix Tech

OCTOBER 8, 2024

In previous blog posts, we introduced the Key-Value Data Abstraction Layer and the Data Gateway Platform , both of which are integral to Netflix’s data architecture. Configurability : TimeSeries offers a range of tunable options for each dataset, providing the flexibility needed to accommodate a wide array of use cases.

Bytes 94

Bytes Datasets Metadata Data 94

Cloudera

NOVEMBER 13, 2024

Fine Tuning Studio enables users to track the location of all datasets, models, and model adapters for training and evaluation. We can import this dataset on the Import Datasets page. The goal is to train an adapter for this base model that gives it better predictive capabilities for our specific dataset. Model Selection.

Datasets 61

Datasets Machine Learning Coding Data Preparation 61

KDnuggets

AUGUST 24, 2022

This blog post introduces seven techniques that are commonly applied in domains like intrusion detection or real-time bidding, because the datasets are often extremely imbalanced.

Datasets 160

Datasets Data Machine Learning 160

Pinterest Engineering

JANUARY 4, 2024

This blog post goes into the details of how we built this massively scalable, highly available wide column database using RocksDB, and provides information about the data model, APIs, and key features. Individual rows constitute a dataset. Row key uniquely identifies a row in a dataset. no in-place modifications are done).

Database 93

Database Building Datasets Relational Database 93

Pinterest Engineering

SEPTEMBER 12, 2023

transformers) became standardized, ML engineers started to show a growing appetite to iterate on datasets. While such dataset iterations can yield significant gains, we observed that only a handful of such experiments were conducted and productionized in the last six months. As model architecture building blocks (e.g.

Data Process 102

Data Process Process Datasets Software Engineering 102

Data Engineering Weekly

JULY 28, 2024

The blog is an excellent summarization of the common patterns emerging in GenAI platforms. Switching from Apache Spark to Ray improves compact 12X larger datasets than Apache Spark, improves cost efficiency by 91%, and processes 13X more data per hour. Swiggy recently wrote about its internal platform, Hermes, a text-to-SQL solution.

Data Engineering 109

Data Engineering Data Engineer Engineering Database-centric 109

Cloudyard

NOVEMBER 17, 2024

With built-in and custom metrics, DMFs simplify the process of validating large datasets and identifying anomalies. In this blog, we will explore a practical use case of DMFs to monitor the quality of transactional data. Scalability : Handle large datasets without compromising performance.

Datasets 52

Datasets Data Government Data Validation 52

Cloudyard

OCTOBER 1, 2024

Read Time: 3 Minute, 57 Second Pandas, a popular Python library, is a fantastic tool for small to moderately sized data, but it struggles with large-scale datasets. This blog will explore the key differences between Pandas DataFrames and Snowpark DataFrames (enhanced by Modin ), demonstrate their respective strengths.

Datasets 52

Datasets Big Data Data Warehouse Cloud 52

DareData

JUNE 11, 2024

In this blog post, we are finally going to bring out the big guns and train our first computer vision algorithm. Although we’ll use a simple dataset here (making it accessible for anyone to run this code on their computer), the principles we’ll see can be applied to other image classification algorithms. ok, hard to visualize!

Algorithm 52

Algorithm Datasets Deep Learning Architecture 52

Engineering at Meta

OCTOBER 3, 2024

The dataset and code are available now on GitHub. Governments in advanced economies can rely on a variety of sources including tax records or census datasets to better estimate their population and make informed decisions on the delivery of services. However, in other parts of the world, accurate population data is hard to come by.

Datasets 65

Datasets Government Banking Programming 65

Team Data Science

MARCH 15, 2020

I am taking you through my recent experience to find a dataset for my project. I defined a few sources in my earlier blog post, which will give a sneak peek of techniques to extract industries. Criteria Define a simple layout to your dataset with elements like size, type of columns, format.

Insurance 130

Insurance Datasets Banking Finance 130

databricks

MARCH 26, 2023

In today's business landscape, secure and cost-effective data sharing is more critical than ever for organizations looking to optimize their internal and external.

Datasets 84

Datasets Data 84

Data Engineering Weekly

SEPTEMBER 18, 2024

In short, While a test can check if a dataset has 10,000 rows, observability ensures the data arriving continuously through the pipeline matches historical behavior, identifies trends, and flags anomalies. Visualization tools that map out pipeline dependencies are particularly helpful here.

Data Lake 98

Data Lake Data Pipeline Unstructured Data Datasets 98

Uber Engineering

FEBRUARY 23, 2023

In this blog learn how we automated column-level drift detection in batch datasets at Uber scale, reducing the median time to detect issues in critical datasets by 5X. Data quality is of paramount importance at Uber, powering critical decisions and features.

Systems 85

Systems Datasets Data 85

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

Cloudera

MAY 19, 2021

In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. To try and predict this, an extensive dataset including anonymised details on the individual loanee and their historical credit history are included. Get the Dataset. Introduction.

Machine Learning 137

Machine Learning Datasets Data Science Raw Data 137

Data Engineering Weekly

JULY 14, 2024

The blog highlights the reasoning behind selecting dbt and Dagster and some of the key improvements while adopting them, such as handling race conditions in dbt incremental update and bulk backfilling with Dagster. The blog provided a nice comparison summary of various 3rd-party data providers in this space and their capabilities.

Data Engineering 98

Data Engineering Data Engineer Engineering Unstructured Data 98

Team Data Science

NOVEMBER 28, 2020

During our first week, Andreas helped us navigate the industry that interests each of us, and this is how we picked a dataset to work on for the next following weeks. I ended up picking yelp dataset , which aligns with my interests in analyzing user behaviors. Stay tuned! Cheers, Liuna Say hello on LinkedIn: [link]

Engineering 130

Engineering Datasets Data Data Engineer 130

Uber Engineering

AUGUST 5, 2021

Uber delivers efficient and reliable transportation across the global marketplace, which is powered by hundreds of services, machine learning models, and tens of thousands of datasets.

Transportation 145

Transportation Datasets Machine Learning Data 145

Workfall

JULY 18, 2023

As one of those wizards, we’ve seen the challenges we face: the struggle to transform massive datasets into meaningful insights, all while keeping queries fast and our system scalable. In this blog, we’ll whisk you away on an enchanting journey through DBT materializations. In this blog, we will cover: What is DBT?

Datasets 77

Datasets Entertainment Data Workflow Data 77

Pinterest Engineering

SEPTEMBER 26, 2023

We have published a detailed blog post of its modeling architecture. Figure 1: hybrid logging for features On a daily basis, the features are joined with the labels to produce the final training dataset. The recommendations are powered by innovative and cutting-edge machine learning technologies.

Software Engineering 103

Software Engineering Software Engineer Machine Learning Datasets 103

Data Engineering Weekly

SEPTEMBER 29, 2024

Grab confirms my observation that users abandoned their searches in 18% of sessions without clicking on any dataset. The blog narrates the query planning caching on Redis on historical queries to compare the current execution plan and the historical plan to derive the optimal query execution plan.

Data Engineering 62

Data Engineering Data Engineer Engineering SQL 62

Databand.ai

AUGUST 30, 2023

Data profiling tools: Profiling plays a crucial role in understanding your dataset’s structure and content. Data testing tools provide insights into potential errors or discrepancies within datasets, allowing necessary corrections to be made promptly and enabling faster, more confident decision-making processes.

Data Cleanse 52

Data Cleanse Data Pipeline Datasets Data Validation 52

Data Engineering Weekly

AUGUST 6, 2024

Challenges: Highly resource-intensive and slow for large datasets. Provide mechanisms for handling large datasets efficiently. It can be a blog link or a short note in README. It can be a blog link or a short note in README. This method is often a last resort when other CDC techniques are infeasible.

Data Lake 125

Data Lake Data Warehouse Database Data Architecture 125

Cloudera

DECEMBER 20, 2023

More information can be found in our blog post here. More information can be found in our blog post here. More information on this AMP and how vector databases add context to AI applications can be found in our blog post here. This is enabled through a Ray Module in cml extension’s Python package published by our team.

Amazon Web Services 71

Amazon Web Services AWS Machine Learning Datasets 71