Pinterest Engineering

OCTOBER 31, 2023

Figure 1: High Level Architecture of PinCompute Users access the platform via Compute APIs to perform operations on their workloads. The federation control plane will then kick in to perform workload management tasks needed at the regional level, including quota enforcement, workload sharding, and member cluster selection.

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ProjectPro

FEBRUARY 5, 2022

This blog introduces the concept of time series forecasting models in the most detailed form. Next, you will find a section that presents the definition of a time series forecasting article. After that, you will explore popular time-series-forecasting models. What is Time Series Forecasting?

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Knowledge Hut

SEPTEMBER 25, 2023

With the ever-growing importance of data, individuals with expertise in data analysis are in high demand, and a plethora of exciting job opportunities await them. Now, let's dive into the heart of this blog article: a comprehensive list of the best data analyst courses and certifications. What is Data Analyst Certification?

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Knowledge Hut

OCTOBER 3, 2023

growth forecast for 2022. That’s exactly what we’re going to answer in the blog. It allows businesses to scale their infrastructure or services based on their needs. Some roles and some jobs can be on a higher pay scale, too. Read books and blogs on different Azure-related topics. 18 lakhs to Rs.

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Certification Cloud Computing Machine Learning SQL 52

Knowledge Hut

JANUARY 24, 2024

This blog offers an exclusive glimpse into the daily rituals, challenges, and moments of triumph that punctuate the professional journey of a data scientist. A significant part of their role revolves around collecting, cleaning, and manipulating data, as raw data is seldom pristine. boasting a high job score of 4.8

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DareData

NOVEMBER 28, 2023

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. For these reasons, this blog is intended to be an educational introduction to the main ideas behind MLOps, while providing examples of implementation - let’s start! So how does it work?

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Cloudera

NOVEMBER 12, 2020

Here at Cloudera, we’ve seen many large organizations struggle to meet ever-changing and ever-growing business demands. The central IT department at this telco is bombarded from multiple directions and never can make their IT budget stretch to meet demand. A tale of two organizations. We see it everywhere.

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Rockset

APRIL 18, 2023

Real-time machine learning (ML) involves deploying and maintaining machine learning models to perform on-demand predictions for use cases like product recommendations, ETA forecasting, fraud detection and more. There are two types of data stored by this dataset: kernel-level process calls and network traffic.

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Edureka

MARCH 6, 2023

This technology helps companies stay ahead of the competition by making accurate forecasts, predicting market changes and knowing customer requirements. They must be able to scale up and down various components in the firm with changing market conditions. They must ensure that it percolates down to employees at every level.

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ProjectPro

FEBRUARY 19, 2021

Regression analysis is the favorite of data science and machine learning practitioners as it provides a great level of flexibility and reliability making it an ideal choice for analyzing different situations like - Do educational degrees and IQ affect salary? Is consuming caffeine and smoking-related to mortality risk?

Machine Learning 40

Machine Learning Datasets Algorithm Data Science 40

Palantir

MAY 11, 2022

D’autre part, l’existence de silos de données distincts séparant les fonctions RSE du reste des opérations de l’organisation, interdit la ventilation de la comptabilité carbone à une échelle adaptée à la prise de décision (au niveau des produits, des services, des infrastructures ou sous-infrastructures clés, etc.).

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Cloudera

FEBRUARY 3, 2021

Creating, scaling-up and manufacturing the vaccine is just the first step, now the world needs to coordinate an incredible and complex supply chain system to deliver more vaccines to more places than ever before. Headlines are being made daily about supply, demand, and distribution. The Vaccine Supply Chain Challenges.

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ProjectPro

FEBRUARY 11, 2021

ML engineers entered LinkedIn’s top 15 in-demand jobs for 2021, and we can see this continuing beyond 2021. An ML engineer is responsible for handling the theoretical data science models and scaling them up for production levels so they can take a substantial amount of real-time data.

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40

Knowledge Hut

NOVEMBER 17, 2023

With more companies adopting the cloud as part of their digital transformation efforts, no wonder that AWS is an important player in the market today. In this blog, we will share the top trends that we believe will shape AWS's future. It offers a pay-as-you-go model that allows for scaling to meet companies' computing needs.

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Picnic Engineering

DECEMBER 19, 2023

In this blog, we’d like to give you a glimpse into some of the major developments in Picnic Tech in 2023. These initiatives focus on incident handling, observability, and Service Level Objectives (SLOs). Faced with slow build times and long wait queues, we sought a robust new solution aligning with our expanding scale and ambitions.

Transportation 52

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Edureka

JANUARY 18, 2024

With an average salary of over $156,000 in the US, data scientists are highly in demand. Need for Data Science Data scientists play a vital part in improving decision-making, increasing business efficiency, and turning massive volumes of data into actionable insights. Stay updated on data science advancements.

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

Lyft Engineering

MARCH 27, 2023

Lyft must operate seamlessly even when demand spikes It’s imperative for Lyft to be highly available during peak events like Halloween and New Year’s Eve. We initially looked to open source and industry standard tools to help us solve these scaling issues. The service intelligently scales to meet the demand of large simulations.

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Coding Database Systems Engineering 131

Cloudera

SEPTEMBER 7, 2023

ChatGPT, Bard, LLaMa, and BloombergGPT rely on a new type of neural network architecture, called a transformer model , which uses a special form of weighting to capture relationships and context across different parts of a sentence or sequence. Plan to scale for the future. Train and upskill employees. Systematize governance.

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Insurance Finance Portfolio Government 78

Picnic Engineering

SEPTEMBER 20, 2022

By leveraging data and algorithms, we have been able to support the company’s growth while maintaining high service levels. Besides numerous demand forecasting models, we have for example built machine learning models to improve our customer service and increase the efficiency of our trips.

Data Science 52

Data Science Building Machine Learning Software Engineer 52

Knowledge Hut

OCTOBER 30, 2023

Natural Language Processing or NLP is a part of Machine Learning focusing on spoken language with loads of data. This blog tackles a wide range of intriguing NLP project ideas, from easy NLP projects for newcomers to challenging NLP projects for experts that will aid in the development of NLP abilities. Source Code B. Source Code C.

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Coding Project Datasets Machine Learning 52

Netflix Tech

SEPTEMBER 2, 2020

In an earlier blog post, we discussed Telltale , our health monitoring system. Deriving meaningful value from trace data alone can be challenging, as Cindy Sridharan articulated in this blog post. However, discovery is only part of the path to resolution. We need to know why a specific request is failing and where.

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Metadata Transportation Engineering Systems 118

LinkedIn Engineering

JULY 27, 2023

It’s now much easier to manage large infra requirements that have traditionally demanded an amalgamation of teams like DBA, Infra-SRE, Onprem-SMEs, network managers, and access control managers working together. In this blog post, we will share our progress, challenges, and lessons learned from our Costwiz journey.

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Knowledge Hut

OCTOBER 30, 2023

Additionally, it offers three brand-new social network similarity indicators for the detection and forecasting of criminal links. When the risk variables are unknown, the datasets can be analyzed to find patterns of risk factors and, as a result, forecast the likelihood of onset appropriately. Enroll now!

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Big Data Coding Project Medical 52

ProjectPro

OCTOBER 20, 2021

A lot of demand in the market comes through in two points in this Gartner hypecycle, in the peak and the maturity. So right before we start, I would like to let you know that the focus of this blog is to get you started for interviews and give you exposure to what is the latest in the field of Artificial Intelligence.

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Machine Learning Algorithm Government Data Science 52

ProjectPro

JANUARY 25, 2022

One of the most in-demand technical skills these days is analyzing large data sets, and Apache Spark and Python are two of the most widely used technologies to do this. Another reason to use PySpark is that it has the benefit of being able to scale to far more giant data sets compared to the Python Pandas library.

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ProjectPro

MAY 23, 2015

“The most important thing about Wal-Mart is the scale of Wal-Mart. Its scale in terms of customers, its scale in terms of products and its scale in terms of technology.”-said One can also see geographical variations of social sentiments and buzz levels.

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Big Data Data Analysis Hadoop Retail 52

ProjectPro

DECEMBER 10, 2021

This blog covers the top 50 most frequently asked Azure interview questions and answers. The fact that more than half of Fortune 500 companies use Azure for cloud computing services indicates that the demand for Microsoft Azure specialists is on the rise. So, let's dive right into it! What do you understand about the Azure SLA?

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ProjectPro

JULY 30, 2021

Level : A level associated with the customer which is masked by the bank as an IP. Language Used: Python Torch, NumPy, Pandas, Albumentations, Matplotlib, Pickle, cv2(OpenCV) Source Code: Deep Learning Project for Text Detection in Images using Python 8) FEAST Example for Scaling Machine Learning FeaSt here refers to the Feature Store.

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Machine Learning Project Deep Learning Banking 40

DoorDash Engineering

APRIL 12, 2023

Building a metrics layer that works for experimentation is not simple, as it should support different types of metrics of varying scale that are used across the diverse range of A/B tests that are being run across different products. Data modeling Our platform requires access to data at the raw fact or event level, not just the aggregates.

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SQL Metadata Raw Data Government 82

Airbnb Tech

APRIL 30, 2021

Part-I: Introducing Minerva — Airbnb’s Metric Platform By : Amit Pahwa , Cristian Figueroa , Donghan Zhang , Haim Grosman , John Bodley , Jonathan Parks , Maggie Zhu , Philip Weiss , Robert Chang , Shao Xie , Sylvia Tomiyama , Xiaohui Sun Data is the voice of our users at scale. year to date) and time ratio comparison (e.g.,

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