Pinterest Engineering

MAY 9, 2023

Erika Sun ML Engineer | Advertiser Growth Modeling Team; Ogheneovo Dibie Engineering Manager | Advertiser Growth Modeling Team Photo by Jason Blackeye on Unsplash Summary In this blog post, we describe a Machine Learning (ML) powered proactive churn prevention solution that was prototyped with our small & medium business (SMB) advertisers.

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Consulting Data Science Architecture Engineering 80

Data Engineering Podcast

NOVEMBER 20, 2022

Summary The majority of blog posts and presentations about data engineering and analytics assume that the consumers of those efforts are internal business users accessing an environment controlled by the business. Atlan is the metadata hub for your data ecosystem.

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Systems Metadata Data Pipeline MongoDB 130

Maxime Beauchemin

APRIL 26, 2023

Mastering AI-Powered Product Development: Introducing Promptimize for Test-Driven Prompt Engineering originally posted here-> [link] AI, AGI, LLM, and GPT are the buzzwords of the moment. Although we’re still figuring out new patterns, we know that prompt engineering is a crucial piece of the puzzle. What a stellar assistant!

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SQL Database Engineering Software Engineer 148

Picnic Engineering

JANUARY 9, 2024

Our goal is to personalise every aspect of the grocery shopping experience using machine learning. CARP is a relatively simple machine learning model ( Under the hood CARP is powered by XGBoost ) with handcrafted features tailored to predicting repeat purchases. Ok, that’s a bit of a mouthful. Let’s break that down.

Machine Learning 91

Machine Learning Datasets Algorithm Systems 91

Silectis

FEBRUARY 17, 2021

In this blog post, we’ll walk you through how data science and data engineering are complementary disciplines. We’ll also delineate a third category: data analysis. We’ll explore how both data engineering and data science should be marshaled to make better decisions.

Data Science 52

Data Science Data Engineering Data Engineer Engineering 52

Edureka

FEBRUARY 9, 2023

The role of Azure Data Engineer is in high demand in the field of data management and analytics. As an Azure Data Engineer, you will be in charge of designing, building, deploying, and maintaining data-driven solutions that meet your organization’s business needs. Who is an Azure Data Engineer?

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Data Engineering Data Engineer Engineering Data Mining 52

U-Next

AUGUST 17, 2022

Introduction to 2022 Data Engineer Roles and Responsibilities. Companies and enterprises, large and small, are built on data. Data Engineer roles and responsibilities include aiding in the collection of issues and the delivery of remedies addressing customer demand and product accessibility.

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Data Engineering Data Engineer Pipeline-centric Database-centric 52

Knowledge Hut

FEBRUARY 2, 2024

In this blog, I will explain the top 10 job roles you can choose per your interests and outline their salaries. 10 Best Computer Science Courses To Get a High Paying Job 1. With the increasing amount of digital presence that businesses worldwide are exposed to, the security of their data is becoming ever so critical.

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Programming Language Amazon Web Services Cloud Computing Java 73

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.

Data Science 52

Data Science Python Project Manufacturing 52

Knowledge Hut

NOVEMBER 27, 2023

Transitioning to a career in data science has become increasingly attractive in recent years. The demand for qualified data professionals continues to rise as companies recognize the value of data-driven decision-making. What Do Data Scientists Do? Why Should You Get Into Data Science?

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Data Science Datasets Machine Learning Algorithm 52

Lyft Engineering

APRIL 3, 2023

This blog post focuses on the scope and the goals of the recommendation system, and explores some of the most recent changes the Rider team has made to better serve Lyft’s riders. This blog mostly focuses on the mode selector to explain how rankings have evolved in the past years and briefly touches on the post request cross-sells.

Systems 87

Systems Pipeline-centric Machine Learning Transportation 87

ProjectPro

FEBRUARY 16, 2023

The demand for skilled data engineers who can build, maintain, and optimize large data infrastructures does not seem to slow down any sooner. At the heart of these data engineering skills lies SQL that helps data engineers manage and manipulate large amounts of data. use SQL, compared to 61.7%

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

Edureka

JANUARY 18, 2024

This guide provides a comprehensive understanding of the essential skills and knowledge required to become a successful data scientist, covering data manipulation, programming, mathematics, big data, deep learning, and machine learning technologies. What is Data Science?

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Data Science Deep Learning NoSQL Machine Learning 40

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Testing and Data Observability. Download the 2021 DataOps Vendor Landscape here.

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Consulting Machine Learning Data Science Data Pipeline 123

Knowledge Hut

JANUARY 22, 2024

In the ever-evolving landscape of technology, where data reigns supreme, the pursuit of mastery in data science, specifically exploring "Data Science Course Fees," has become more than a professional endeavor—it's a journey into the heart of innovation. Welcome to the world of data science.

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Data Science Certification Education Data Lake 52

ProjectPro

JUNE 9, 2021

This blog on Data Science vs. Data Engineering presents a detailed comparison between the two domains. vs. What does a Data Engineer do? Are you a Data Scientist or a Data Engineer? Is data engineering more important than data science?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

JANUARY 23, 2024

Welcome to the exciting world of data science, where numbers are like magic keys unlocking amazing discoveries! It's like the hidden dance partner of algorithms and data, creating an awesome symphony known as "Math and Data Science." Ready for the adventure?

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Data Science Algorithm Raw Data Data 52

DareData

NOVEMBER 28, 2023

In today's data-driven world, machine learning has emerged as a transformative force, empowering organizations to extract valuable insights from vast amounts of data. As the scope of the models and the data continues to scale, the role of a Data Scientist has evolved accordingly in the last years.

Data Science 52

Data Science Medical Machine Learning Data 52

Knowledge Hut

NOVEMBER 28, 2023

As Data scientists, our focus is on both the quality and quantity of data which can improve the model results. With different sources of data, we can leverage the information to drive good business understanding. Your data should possess the maximum available information to perform meaningful analysis.

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Datasets Data Science Project Banking 63

Knowledge Hut

JULY 28, 2023

Data Labeling is the process of assigning meaningful tags or annotations to raw data, typically in the form of text, images, audio, or video. These labels provide context and meaning to the data, enabling machine learning algorithms to learn and make predictions. What is Data Labeling for Machine Learning?

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Machine Learning Process Datasets Raw Data 52

Databand.ai

DECEMBER 29, 2022

The Top Data Strategy Influencers and Content Creators on LinkedIn Eitan Chazbani 2022-12-29 14:08:41 What’s the latest in the data world? When it comes to LinkedIn (and beyond) here are our recommendations for the top 25 data strategy influencers and content creators to keep tabs on. So who should you be following?

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BI Consulting Data Science Data Governance 52

ProjectPro

FEBRUARY 21, 2023

With so many data engineering certifications available , choosing the right one can be a daunting task. There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? The answer is- by earning professional data engineering certifications! AWS or Azure?

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Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

MARCH 26, 2024

In this blog post, I have shared 30 carefully curated prompts catering to various industries. By offering a diverse array of prompts, this blog post aims to provide valuable resources for professionals seeking to enhance their writing skills or generate fresh ideas within their respective industries. accessibility guidelines.

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Media Finance Medical Healthcare 52

Knowledge Hut

NOVEMBER 17, 2023

Today, data is everything, and every technology runs around managing, storing, accessing, and processing this data. After the introduction of cloud computing, the need for managing expanding data is getting more critical. Many people are going for Data Science Courses in India to leverage the true power of AWS.

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AWS Data Science Certification Amazon Web Services 52

ProjectPro

FEBRUARY 16, 2023

Business Intelligence and Artificial Intelligence are popular technologies that help organizations turn raw data into actionable insights. While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace. It is widely used in robotics and games.

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Business Intelligence BI Data Mining Raw Data 52

DoorDash Engineering

FEBRUARY 13, 2024

In a perfect world, we would test all possible policies and run a heterogeneous treatment effect, or HTE, model to identify the best policy for each consumer’s historical data. However, because we have only training data with limited policies/campaigns and a small sample size, we are prevented from making the most of an HTE model.

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Machine Learning Designing Data Science Building 80

ProjectPro

JANUARY 19, 2022

Planning to land a successful job as an Azure Data Engineer? Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Snowflake

JUNE 29, 2023

Data analysts have a tough job. To keep pace with the explosive growth of data in their organization, they must balance the work required to derive accurate insights with the need to make fast decisions. As they seek to understand and explain anomalies quickly, it takes valuable time and effort to dive deep into their data.

Data Science 57

Data Science Datasets Retail BI 57

ProjectPro

FEBRUARY 17, 2022

Similarly, in Machine learning, selecting the correct number of features for fitting a predictive model to a given dataset is essential. Table of Contents Feature Selection Methods in Machine Learning What is Feature Selection in Machine Learning? Continue reading this blog to know more about them.

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Machine Learning Algorithm Datasets Banking 52

Knowledge Hut

OCTOBER 3, 2023

That’s exactly what we’re going to answer in the blog. It helps create and manage digital solutions and services via data centers globally. Azure is highly sought-after due to its global data centers. Its hybrid nature makes it possible to integrate on-site data centers with Azure services seamlessly.

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Certification Cloud Computing Machine Learning SQL 52

ProjectPro

DECEMBER 10, 2021

Read this blog if you are interested in exploring business intelligence projects examples that highlight different strategies for increasing business growth. Business Intelligence refers to the toolkit of techniques that leverage a firm’s data to understand the overall architecture of the business. methodologies. methodologies.

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Business Intelligence Coding Project BI 52

Knowledge Hut

JULY 4, 2023

The rising demand for data analysts along with the increasing salary potential of these roles is making this an increasingly attractive field. But which are the highest-paying data analytics jobs available? This blog lists some of the most lucrative positions for aspiring data analysts. Read on to learn more.

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Data Analytics Data Architect Transportation Data Science 52

ProjectPro

AUGUST 13, 2021

If you are a beginner searching for Machine Learning GitHub Projects, you are on the right page. Below you will find a list of Machine Learning projects on Github that are beginner-friendly and popular among Data Science enthusiasts. Face Detection Kaggle Machine Learning Projects on GitHub 1.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

Monte Carlo

SEPTEMBER 12, 2023

Whatnot brings together commerce and entertainment in categories like trading cards, sports cards, and fashion, to video games, streetwear, and beyond. Now, imagine all the data powering that platform. They were among Whatnot’s earliest employees and together built the data foundation for the company. Let’s dive in.

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Machine Learning Data Entertainment SQL 52

ProjectPro

SEPTEMBER 27, 2021

This blog contains OpenCV project ideas for beginners and intermediate professionals. OpenCV is an open-source computer vision library that experts in the Data Science industry widely use. The list contains projects that have been divided into the following categories. Table of Contents What is OpenCV?

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Project Deep Learning Algorithm Food 52

ProjectPro

OCTOBER 28, 2021

In this blog, we have mentioned all the topics that are considered as prerequisites for learning machine learning. We have covered all the subjects and the best resources that will help you learn them thoroughly. Machine learning is no exception to that.

Machine Learning 52

Machine Learning Programming Language Datasets Python 52

ProjectPro

JANUARY 31, 2023

Ever wondered how insurance companies successfully implement machine learning to expand their businesses? With the introduction of advanced machine learning algorithms , underwriters are bringing in more data for better risk management and providing premium pricing targeted to the customer.

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Insurance Machine Learning Project Algorithm 75