Scott Logic

APRIL 11, 2023

It’s been over a year since I last blogged about OpenAI. Whilst DALL-E 2, ChatGPT and GPT4 have grabbed all of the headlines, there were a lot of other interesting things showing up on their blog in the background. Fine-tuning December 2021 Fine-tuning, a topic I covered in my previous blog post , has progressed out of beta.

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Datasets Architecture Process Accessible 99

Cloudera

JANUARY 17, 2024

Cloudera DataFlow for the Public Cloud (CDF-PC) is a complete self-service streaming data capture and movement platform based on Apache NiFi. It allows developers to interactively design data flows in a drag and drop designer, which can be deployed as continuously running, auto-scaling flow deployments or event-driven serverless functions.

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Bytes Architecture Designing Building 102

Workfall

AUGUST 8, 2023

Reading Time: 9 minutes A heatmap chart is a visual representation of data presented in a matrix format. This type of chart finds application in diverse fields such as data analysis, biology, finance, and web analytics, offering an efficient means to detect significant data points and correlations without extensive numerical examination.

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DoorDash Engineering

AUGUST 1, 2023

Just when we most needed observability data, the system would leave us in the lurch. As we continue to scale DoorDash’s business, using Prometheus lets us eliminate metrics loss, scale up our metrics usage, standardize our metrics labels, and significantly lower overall costs.

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AWS Transportation Programming Language Government 82

Cloudera

FEBRUARY 8, 2023

I was looking for some broken code to add a workshop to our Spark Performance Tuning class and write a blog post about, and this fitted the bill perfectly. For convenience purposes I chose to limit the scope of this exercise to a specific function that prepares the data prior to the churn analysis. where(col( 'userId' ).isin(canc_list))

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Knowledge Hut

APRIL 12, 2024

In this blog, we will look at three different project organizational structures: functional, matrix, and process. Identify and label the data sources used in your chart. Project management plays a significant role in the success of every organization. Consider the level of detail and granularity needed in your chart.

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Pinterest Engineering

SEPTEMBER 20, 2023

Signal Development and Indexing The process of developing our visual body type signal essentially begins with data collection. These external partnerships along with our internal fashion specialists and labellers were fundamental in helping us design the experience from both a technical and human-centric perspective.

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Cloudera

NOVEMBER 15, 2021

The word “data” is ubiquitous in narratives of the modern world. And data, the thing itself, is vital to the functioning of that world. This blog discusses quantifications, types, and implications of data. Quantifications of data. Quantifications of data. So data is big and growing.

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Unstructured Data Pipeline-centric Database-centric Entertainment 86

Cloudera

JANUARY 7, 2021

While dozens of techniques now exist for the fundamental task of text classification, many of them require massive amounts of labeled data in order to prove useful. Another fact of real-world use cases is the uneven distribution of data. At Cloudera Fast Forward, we are no strangers to learning with limited data.

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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.

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Data Science Datasets Database Design Machine Learning 79

Netflix Tech

MARCH 4, 2024

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. We have also noted a great potential for further improvement by model tuning (see the section of Rollout in Production).

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Machine Learning Big Data Data Engineering 84

AltexSoft

AUGUST 3, 2021

No matter how big or small your machine learning (ML) project might be, the overall output depends on the quality of data used to train the ML models. Data annotation plays a pivotal role in the process. That said, data annotation is key in training ML models if you want to achieve high-quality outputs.

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Datasets High Quality Data Metadata Raw Data 59

Snowflake

APRIL 20, 2023

Generative AI and large language models (LLMs) are revolutionizing many aspects of both developer and non-coder productivity with automation of repetitive tasks and fast generation of insights from large amounts of data. LLMs have the potential to help both developers and less-technically inclined users make sense of the world’s data.

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Building Unstructured Data Government Coding 114

U-Next

AUGUST 8, 2022

Before heading out for a Machine Learning interview, find time to go through this quick recap blog on the fundamentals of Machine Learning. Data Science and Machine Learning are two of the most widely used technologies around the globe nowadays. What Are the Distinctions Between Machine Learning and Data Mining?

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Machine Learning Deep Learning Algorithm Data Mining 52

Cloudera

AUGUST 26, 2021

Ozone natively provides Amazon S3 and Hadoop Filesystem compatible endpoints in addition to its own native object store API endpoint and is designed to work seamlessly with enterprise scale data warehousing, machine learning and streaming workloads. Learn more about the impacts of global data sharing in this blog, The Ethics of Data Exchange.

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Data Engineering Podcast

JUNE 29, 2020

This was a great conversation about the complexities of working in a niche domain of data analysis and how to build a pipeline of high quality data from collection to analysis. If you hand a book to a new data engineer, what wisdom would you add to it? If you hand a book to a new data engineer, what wisdom would you add to it?

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Knowledge Hut

MARCH 27, 2024

In this blog, we will learn that UI copywriting is not simply communication with users; rather, UI copywriters research user requirements, predict their questions and even create answers for them. It includes basic labels on buttons, certain instructions on the menu(s), and even error messages. Let's try that again!

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Designing Technology Government Certification 52

LinkedIn Engineering

OCTOBER 19, 2023

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers. Additionally, they needed the ability to experiment with streaming pipelines in batch mode.

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Cloudera

APRIL 26, 2021

CDP is using Apache Ranger for data security management. Possible permissions (zero or more letters from the set “RWXCA”): Read (R) – can read data at the given scope. Write (W) – can write data at the given scope. emp column=l:test,personal data, timestamp=1612273141925, value=RW.

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Cloudera

AUGUST 18, 2021

Data Lifecycle Management: The Key to AI-Driven Innovation. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven. That way, the data can continue generating actionable insights. . Rethinking the Data Lifecycle. It requires rethinking the data lifecycle itself. .

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Medical Hospitality Data Lake Healthcare 88

Cloudera

JUNE 7, 2023

The revised ZTMM is organized by five categories or pillars: identity, devices, networks, applications and workloads, and data, and four levels of maturity: traditional, initial, advanced, and optimal. The data is protected but it is also accessible by the people who need it. How does Cloudera support the evolution to optimal?

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Knowledge Hut

MARCH 21, 2024

In this blog article, I will explain which principles of UI are crucial to adhere to in order to achieve a completely seamless, almost undetectable user experience. Clear Signifiers: Use visual cues like icons or labels to indicate interactive elements and their functionalities. What is UI Design and its Importance?

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Designing Project Accessible Accessibility 52

Pinterest Engineering

MARCH 20, 2024

Graph based model: Leverage the Pinner’s curation data to build a heterogeneous graph that supports different types of entities. In this blog, we touch on: Technical design Key innovations Offline results Online results Technical Design Data Most Pins are associated with a landing page. Pins and landing pages).

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Machine Learning Engineering Software Engineer Software Engineering 72

Striim

NOVEMBER 17, 2023

In today’s data-driven world, the ability to leverage real-time data for machine learning applications is a game-changer. Real-time data processing in the world of machine learning allows data scientists and engineers to focus on model development and monitoring.

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Knowledge Hut

APRIL 26, 2024

Also called data storage areas , they help users to understand the essential insights about the information they represent. Machine Learning without data sets will not exist because ML depends on data sets to bring out relevant insights and solve real-world problems. In the real world, data sets are huge.

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Datasets Machine Learning Deep Learning Finance 77

Knowledge Hut

OCTOBER 27, 2023

Whether you are a student or a working professional, the journey to be an industry-ready Data Scientist would never be fulfilled unless there is a good portfolio of projects considerably demonstrated in the resume. Choosing the right project is crucial as it could set you apart from the other Data Scientists. to detect anomalies.

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Data Science Python Project Manufacturing 52

ProjectPro

JANUARY 11, 2022

While supervised algorithms comprise data with labels, unsupervised algorithms have unlabelled data. Machine Learning Classification vs. Regression In this blog, we will be looking at the differences between two of the most prominent supervised machine learning algorithms - Classification vs. Regression.

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Machine Learning Algorithm Datasets Food 52

Data Engineering Weekly

AUGUST 6, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles, so you can quickly ship actionable, enriched data to every downstream team. The first one that caught my eye is Astronomer published a blog post Introducing Cosmos 1.0:

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Data Engineering Data Engineer Engineering Kafka 52

ProjectPro

NOVEMBER 25, 2021

Although businesses have an inclination towards structured data for insight generation and decision-making, text data is one of the vital information generated from digital platforms. However, it is not straightforward to extract or derive insights from a colossal amount of text data.

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Machine Learning Algorithm Datasets Google Cloud 52

Cloudera

AUGUST 6, 2021

This landscape is one that presents opportunities for a modern data-driven organization to thrive. At the nucleus of such an organization is the practice of accelerating time to insights, using data to make better business decisions at all levels and roles. Strategy and culture are core components of a data driven organization .

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LinkedIn Engineering

MAY 2, 2023

In earlier blog posts, we defined what a graph database is and also shared how to index graph data for fast, constant-time access. Each entity and each connection has a label that helps us understand the world in a logical way. LIquid introduced new database indexing techniques that made on-line querying of the data possible.

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Utilities Database Architecture Machine Learning 81

Scott Logic

MARCH 21, 2024

I thought I’d pull together a blog with a summary of some of the key points covered on the day: Opening Sessions: Jack Simmonds from Dell opened (and hosted the event) stressing the urgency of addressing climate change and resource depletion. Challenged the duplication and silos in government data capture. That £2.4m

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Government Education Technology Designing 52

LinkedIn Engineering

JANUARY 25, 2023

In this blog, we will discuss how we replaced the existing rule-based approach with an ML-driven engine to optimize for payment approval rates to create a more optimal customer experience. The success probabilities (��1 , ���, ��K) can be learned based on most recent data. Table 1 defines the variables for the model.

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Banking Machine Learning Datasets Engineering 97

Netflix Tech

OCTOBER 7, 2021

A false positive (also called a Type I error) occurs when the data from the test indicates a meaningful difference between the control and treatment experiences, but in truth there is no difference. As another way to build intuition, consider the real reason that the internet and machine learning exist: to label if images show cats.

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Medical Building Machine Learning Designing 90

RandomTrees

JANUARY 29, 2024

In the rapidly evolving field of computer vision, data is the lifeblood that fuels innovation. However, acquiring high-quality labeled data can be a costly and time-consuming endeavor. This is where synthetic data, generated using Generative AI techniques, steps in as a game-changer. What Is Synthetic Data?

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Medical Retail Entertainment Datasets 52

LinkedIn Engineering

MARCH 21, 2023

In this blog, we’ll discuss the ways in which we’re continuously investing in our skills taxonomy to build a strong, reliable foundation for our Skills Graph to help ensure we can match our members’ skills to opportunity and knowledge. This can introduce different types of noise and varying data quality.

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Building Recruitment Machine Learning Deep Learning 85

Palantir

MAY 6, 2021

In this blog post, Palantir’s Information Security (InfoSec) team will share our recent experience using Cilium : an open-source project by Isovalent dedicated to securing container-based infrastructure, enabling visibility & controls preferable to those of a traditional firewall. Only pods with the label Purpose A can resolve Domain B.

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