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? .

Data Preparation 52

Data Preparation Machine Learning Government Data Analytics 52

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

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

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 87

Data Science Datasets Database Design Machine Learning 87

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 159

Datasets Data Machine Learning 159

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

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 76

Database Building Datasets Relational Database 76

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 87

Data Process Process Datasets Scala 87

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 98

Systems Datasets Data 98

RandomTrees

APRIL 12, 2024

In this blog, we delve into the intricacies of model retraining, exploring its significance, various approaches, triggers, and best practices to empower organizations in mastering this essential component of MLOps.

Machine Learning 52

Machine Learning Datasets Systems Process 52

Christophe Blefari

APRIL 5, 2024

The data analyst every CEO wants — I really like this blog from Benoit, he gives practical advices about what you have to focus on if you're working as an data analyst for C-level of your company. In a nutshell, I'd say that both technologies are not yet mature, with a smaller advantage for Cube for being open.

SQL 130

SQL Data Python Datasets 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 76

Datasets Data 76

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

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

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

Christophe Blefari

MARCH 22, 2024

❤️ I rarely say it, if Data News helps you save time you should consider taking a paid subscription (60€/year) to help me covers the blog fees and my writing Fridays. Commun Corpus — A HuggingFace dataset collection including public domain texts, newspapers and books in a lot of languages. on April 10.

Electronics 130

Electronics Media Data Python 130

DareData

JANUARY 13, 2024

Continuing the Pytorch series, in this post we’ll learn about how non-linearities help solve complex problems in the context of neural networks In the last blog posts of the PyTorch Introduction series, we spoke about introduction to tensor objects and building a simple linear model using PyTorch. Let’s start!

Datasets 52

Datasets Deep Learning Architecture Algorithm 52

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 Engineering 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

Christophe Blefari

AUGUST 4, 2023

As a disclaimer, this may not quite make sense in a corporate context, but since this is my blog, I'll do what I want. Mainly there are 3 datasets: Athletes — all the data about the athletes like their race ids, teams, their profile but also their body size. So I thought it was the perfect data to build a data platform.

Google Cloud 225

Google Cloud MongoDB NoSQL Data 225

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 Engineer 89

Software Engineer Software Engineering Machine Learning Datasets 89

Databand.ai

AUGUST 30, 2023

This includes defining roles and responsibilities related to managing datasets and setting guidelines for metadata management. Data profiling: Regularly analyze dataset content to identify inconsistencies or errors. Automated profiling tools can quickly detect anomalies or patterns indicating potential dataset integrity issues.

Building 52

Building Data Cleanse Data Governance 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

Netflix Tech

NOVEMBER 13, 2023

In this blog post, we will introduce speech and music detection as an enabling technology for a variety of audio applications in Film & TV, as well as introduce our speech and music activity detection (SMAD) system which we recently published as a journal article in EURASIP Journal on Audio, Speech, and Music Processing.

Datasets 89

Datasets Metadata Algorithm Architecture 89

Databand.ai

AUGUST 30, 2023

Validity: Adherence to predefined formats, rules, or standards for each attribute within a dataset. Uniqueness: Ensuring that no duplicate records exist within a dataset. Integrity: Maintaining referential relationships between datasets without any broken links.

Data Cleanse 52

Data Cleanse Metadata High Quality Data Datasets 52

Christophe Blefari

JANUARY 7, 2024

What 2023 brought: Followers — I doubled in followers on my 3 main platforms: I reached 4000 people on the blog, 8000 on LinkedIn and almost 600 on Twitter (even if I don't post that much there). The blog — 46 articles published in 2023, this is way less than in 2022 but it's ok. It's time.

Data 130

Data SQL Python Data Engineering 130

DareData

DECEMBER 16, 2023

In my last blog post, we’ve learned how to work with PyTorch tensors , the most important object in the PyTorch library. Tensors are the backbone of deep learning models so naturally we can use them to fit simpler machine learning models to our datasets. of the song Song loudness Song tempo.

Building 52

Building Deep Learning Datasets Coding 52

Data Engineering Weekly

MARCH 10, 2024

Google: Croissant- a metadata format for ML-ready datasets Google Research introduced Croissant, a new metadata format designed to make datasets ML-ready by standardizing the format, facilitating easier use in machine learning projects. Pradheep Arjunan - Shared insights on AZ's journey from on-prem to the cloud data warehouses.

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

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—enabling faster, more confident decision-making processes.

Data Cleanse 52

Data Cleanse Data Validation Data Pipeline Datasets 52

Knowledge Hut

APRIL 26, 2024

The rules defined by these types of algorithms help to discover commercially useful and important associations among large datasets. You can refer to websites, blogs, or enrol in trainings , to get a clear picture of the world of ML and algorithms.

Machine Learning 96

Machine Learning Algorithm Deep Learning Programming Language 96

KDnuggets

JUNE 14, 2023

This blog post explores the challenges of acquiring sufficient data and the limitations posed by biased datasets using RapidsAI cuDF.

Datasets 82

Datasets Machine Learning Data 82

Cloudera

DECEMBER 13, 2023

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. The post Cloudera Customer Story appeared first on Cloudera Blog. Please read the full story here.

Pipeline-centric 89

Pipeline-centric Professional Services Datasets BI 89

Knowledge Hut

OCTOBER 30, 2023

Regardless of whether you are a seasoned machine learning expert or just starting, this blog will offer you valuable insights and inspiration for your next project. Continue to read this blog, where you can find a variety of deep learning projects with accompanying source code to get you started! What are Deep Learning Projects?

Deep Learning 52

Deep Learning Project Datasets Machine Learning 52

FreshBI

SEPTEMBER 11, 2023

In this blog post, we will dig deeper into the transformative influence of automation in Power BI and explore a couple of Power Automate examples capable of reshaping your entire developmental journey. This proves particularly valuable when producing multiple reports with differing datasets but a standardized structure.

BI 59

BI Consulting Datasets Data Ingestion 59

Cloudera

AUGUST 26, 2021

In this blog post, we will ingest a real world dataset into Ozone, create a Hive table on top of it and analyze the data to study the correlation between new vaccinations and new cases per country using a Spark ML Jupyter notebook in CML. Learn more about the impacts of global data sharing in this blog, The Ethics of Data Exchange.

Data Science 108

Data Science Cloud Hadoop Metadata 108

Cloudera

NOVEMBER 30, 2022

We have divided the “ Transaction Support in Cloudera Operational Database (COD)” blog into two parts. var dataSet = List(Row(1, "1", 1), Row(2, "2", 2)). dataSet = dataSet :+ Row(w, "foo", w); }. var rowRDD = spark.sparkContext.parallelize(dataSet). dataSet = List(Row(501, "500", 500), Row(502, "502", 502)).

Database 80

Database Datasets NoSQL Big Data 80

Knowledge Hut

APRIL 23, 2024

While both deal with large datasets, but when it comes to data warehouse vs big data, they have different focuses and offer distinct advantages. In this blog we will explore the fundamental differences between data warehouse and big data, highlighting their unique characteristics and benefits. Big data offers several advantages.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52