Pinterest Engineering

JANUARY 26, 2024

This incident began a multi-year journey for our team to rethink policy delivery and migrate hundreds of policies to a new distribution model. This incident began a multi-year journey for our team to rethink policy delivery and migrate hundreds of policies to a new distribution model. So where did this go wrong?

Engineering 75

Engineering Architecture Systems Metadata 75

Knowledge Hut

JULY 28, 2023

These labels provide context and meaning to the data, enabling machine learning algorithms to learn and make predictions. If you are new to this domain and wanted to learn how to label data for machine learning problems, then you’ve landed on the right page. What is Data Labeling for Machine Learning?

Machine Learning 52

Machine Learning Process Datasets Raw Data 52

Knowledge Hut

FEBRUARY 1, 2024

While building predictive models, if your results aren’t satisfactory, then the two things that can go wrong are data or models. It’s a fundamental aspect of the data preparation stages of a machine learning cycle. Each stage in a data pipeline consumes input and produces output. Then comes the data format.

Data Science 52

Data Science Process Data Cleanse Datasets 52

Monte Carlo

OCTOBER 4, 2023

Across industries, executives are pushing their data leaders to build AI-powered products that will save time, drive revenue, or give them a competitive advantage. And tech giants like OpenAI, Google, Amazon, and Microsoft have been flooding the market with features driven by large language models (LLMs) and image-generating diffusion models.

Unstructured Data 72

Unstructured Data Finance SQL Media 72

ProjectPro

AUGUST 30, 2022

This article will walk you through how one can start by exploring a loan prediction system as a data science and machine learning problem and build a system/application for loan prediction using your own machine learning project. Table of Contents What is Loan Prediction using Machine Learning?

Machine Learning 52

Machine Learning Coding Project Datasets 52

Monte Carlo

AUGUST 9, 2023

Still, generating a recipe for lasagna is an entirely different process than infusing generative AI capabilities across a business or integrating large language models (LLMs) into data engineering workflows. Generative AI is not a new concept. It’s been studied for decades and applied in limited capacities. OpenAI is developing it.

IT 52

IT Unstructured Data SQL BI 52

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. Let us first get a clear understanding of why Data Science is important. Data Modeling using multiple algorithms. What is Data Science?

Data Engineering 83

Data Engineering Data Engineer Engineering Pipeline-centric 83

Towards Data Science

OCTOBER 7, 2023

Across industries, executives are pushing their data leaders to build AI-powered products that will save time, drive revenue, or give them a competitive advantage. And tech giants like OpenAI, Google, Amazon, and Microsoft have been flooding the market with features driven by large language models (LLMs) and image-generating diffusion models.

Unstructured Data 75

Unstructured Data Finance SQL Media 75

ProjectPro

FEBRUARY 25, 2022

Read this article to find the right resources for learning MLOps. The blog starts with an introduction to MLOps, skills required to become an MLOps engineer, and then lays out an MLOps learning path for beginners. MLOps is an acronym that represents the combination of Machine-Learning(ML) and Operations.

Deep Learning 52

Deep Learning Algorithm Machine Learning Data Science 52

ProjectPro

FEBRUARY 24, 2022

Working with audio data has been a relatively less widespread and explored problem in machine learning. In most cases, benchmarks for the latest seminal work in deep learning are measured on text and image data performances. Table of Contents What is Music Genre Classification? How to Classify Music Genres?

Deep Learning 52

Deep Learning Project Datasets Machine Learning 52

ProjectPro

JANUARY 28, 2022

The modeling follows from the data distribution learned by the statistical or neural model. They will only go outside of these expected patterns in exceptional cases, which are usually erroneous or fraudulent. When these exceptional cases occur, they cause something that is called an “anomaly” in the data.

Machine Learning 52

Machine Learning Python Datasets Algorithm 52

ProjectPro

OCTOBER 20, 2021

With so many pseudo-data scientists cropping up due to numerous data science bootcamps and courses that offer theoretical learning, the interview questions for AI and machine learning jobs are getting streamlined to filter those who understand how real-world implementation works. Gartner is a market leader in market research.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

Snowflake

MARCH 30, 2023

“The features you use influence more than everything else the result. Collecting, cleaning, and organizing data into a coherent form for business users to consume are all standard data modeling and data engineering tasks for loading a data warehouse.

Engineering 81

Engineering Raw Data Data Science Scala 81

ProjectPro

JANUARY 22, 2022

Generalizing BERT (due to the bidirectional encoder) and GPT2 (with the left to right decoder) - Enter the World of a Mysterious new Seq2Seq Model - BART Models Table of Contents What is the BART HuggingFace Transformer Model in NLP? What is BART Model used for? What Data was BART Model Trained on?

Datasets 52

Datasets BI Architecture SQL 52

Towards Data Science

MARCH 17, 2023

Take advantage of the distributive power of Apache Spark and concurrently train thousands of auto-regressive time-series models on big data Photo by Ricardo Gomez Angel on Unsplash 1. I believe that this is quite a common task for many data scientists and machine learning engineers working with SaaS or retail customer data.

Datasets 78

Datasets Scala Machine Learning SQL 78

ProjectPro

JULY 16, 2021

To become a successful data scientist in the industry, understanding the end-to-end workflow of the data science pipeline (understanding data, data pre-processing, model building, model evaluation, and model deployment) is essential. Logistic regression is a descriptive model.

Algorithm 40

Algorithm Machine Learning Data Science Deep Learning 40

ProjectPro

APRIL 6, 2021

As you begin to read this article on Image Classification, I want you to look around and observe the things that you can see. Machines learning algorithms on the other hand, while classifying images face these challenges, and Image Classification becomes an exciting problem for us to solve.

Deep Learning 40

Deep Learning Python Medical Datasets 40

ProjectPro

OCTOBER 21, 2021

So many NLP books, so little time - the problem of choice arises when you want to become a better data scientist, NLP engineer, or machine learning engineer by drenching in some top NLP books. We have a great list of the best books on NLP, in no way ultimate, but definitely worth your attention if you want to learn NLP.

Deep Learning 52

Deep Learning Java Python Computer Science 52

ProjectPro

JULY 30, 2021

As an aspiring machine learning professional, a portfolio is the most important asset to have in your job search. But what if you don’t have a machine learning portfolio because you are going to need diverse skills and projects under your belt to land a top machine learning gig.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

ProjectPro

FEBRUARY 28, 2022

One can easily build a facial emotion recognition project in Python. In 2001, researchers from Microsoft gave us face detection technology which is still used in many forms. With modern deep learning techniques, we have advanced to detect difficult things like smiles, eyes, and emotions. Can we really do that?

Coding 52

Coding Project Deep Learning Datasets 52

ProjectPro

NOVEMBER 16, 2021

Artificial Intelligence is a technique for a machine to imitate human behavior. The use of AI applications is continuously expanding, and tech enthusiasts must stay up with this fast-changing sector, especially with open source AI projects, to deploy AI driven projects successfully. TensorFlow 2. Detectron2 5. TFlearn 10.

Project 52

Project Deep Learning Machine Learning Algorithm 52

ProjectPro

MARCH 29, 2021

‘Man and machine together can be better than the human’ All thanks to deep learning frameworks like PyTorch, Tensorflow, Keras, Caffe, and DeepLearning4j for making machines learn like humans with special brain-like architectures known as Neural Networks.

Deep Learning 40

Deep Learning Machine Learning Programming Language Python 40

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. Table of Contents What is a Big Data Project?

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

DECEMBER 14, 2021

Check out these Power BI projects that will blow your mind with Power BI’s interactive dashboards, exceptional graphs and charts, and many more features. We will look at some intriguing sample Power BI projects in this blog to help you better understand the role of Power BI in Data Science and how it can help businesses thrive.

BI 52

BI Project Business Intelligence Datasets 52

ProjectPro

SEPTEMBER 14, 2021

Data pipelines had to be created to munge large amounts of data that couldn’t be processed by hand. Data scientists should be able to create and test hypotheses, understand the intuition behind statistical algorithms they use, and have knowledge of different probability distributions.

Datasets 52

Datasets Data Science Machine Learning Data 52

ProjectPro

JUNE 24, 2021

More and more industries are now realising the importance of making use of data analytics and using the data available to them for their benefit. Table of Contents Skills Required for Data Analytics Jobs Why Should Students Work on Big Data Analytics Projects ? This number grew to 67.9%

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

RandomTrees

NOVEMBER 29, 2023

Contents Approaches to modelling Hubs, Link and Satellite Concepts to Contemplate Approaches to Modelling Traditional Approaches The successful growth of any business depends on the choice of the right competitive advantage, and this will help sustainability.

Data Warehouse 52

Data Warehouse Data Lake Database-centric Data Cleanse 52

ProjectPro

MARCH 19, 2021

Natural language processing is a subfield of artificial intelligence that aims at making machines understand natural languages just like humans do. The power of NLP techniques dates back to the 1950’s Turing Test ( also known as the Imitation Game ), a test to determine if a machine can be considered intelligent.“

Datasets 40

Datasets Python Machine Learning Algorithm 40

ProjectPro

JULY 27, 2021

In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry. Preparing for data engineer interviews makes even the bravest of us anxious. that leverage big data analytics and tools.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JUNE 13, 2018

Let us now understand why there is such a huge demand for AWS cloud certifications and why you need one to jumpstart your career in cloud computing. AWS certifications are the most in-demand cloud computing certifications in the IT industry today, with an overwhelming growth in cloud computing.

AWS 52

AWS Certification Amazon Web Services Cloud Computing 52

Zalando Engineering

JULY 17, 2017

To be able to measure the quality of some of the machine learning models that we have at Zalando, “Golden Standard” corpora are required. Motivation As the Zalando Dublin Fashion Content Platform (FCP) continues to grow, we now have many different types of machine learning models.

Machine Learning 40

Machine Learning Data Datasets Data Collection 40

AltexSoft

JUNE 16, 2022

Choosing the machine learning path when developing your software is half the success. Yes, it brings automation, so widely discussed machine intelligence, and other awesome perks. But just because you put it there doesn’t guarantee your project will do well and pay off. Machine learning pipeline in a nutshell.

Machine Learning 91

Machine Learning Hospitality Retail Medical 91

ProjectPro

NOVEMBER 11, 2014

Hadoop and Spark are popular apache projects in the big data ecosystem. There is great excitement around Apache Spark as it provides fundamental advantages in interactive data interrogation on in-memory data sets and in multi-pass iterative machine learning algorithms. Difficult to program and requires abstractions.

Hadoop 40

Hadoop Scala Machine Learning Java 40

AltexSoft

OCTOBER 30, 2021

These men didn’t stop at scientific research and ended up conceptualizing or engineering their inventions. It comes from different sources, it’s formatted in a variety of ways, and it’s all extremely valuable if we organize it in a way that serves us and then use it to solve our business problems. How about Edison? Or Da Vinci?

Data Engineering 98

Data Engineering Data Engineer Engineering Algorithm 98

Cloudera

NOVEMBER 17, 2021

Just take a look at the description for data science job postings on LinkedIn if you don’t believe us. We are very excited to announce the release of five, yes FIVE new AMPs, now available in Cloudera Machine Learning (CML). It’s no secret that Data Scientists have a difficult job. Today, the sexy is starting to lose its shine.

Machine Learning 122

Machine Learning Algorithm Data Science Retail 122

AltexSoft

MAY 30, 2022

In this post, we’ll focus on what conversational AI is, how it works, and what platforms exist to enable data scientists and machine learning engineers to implement this technology. So, if you are interested in building a conversational AI bot , this article is for you. Here’s the catch though.

Banking 52

Banking Machine Learning Deep Learning Insurance 52

Netflix Tech

APRIL 29, 2019

By Pythonistas at Netflix, coordinated by Amjith Ramanujam and edited by Ellen Livengood As many of us prepare to go to PyCon, we wanted to share a sampling of how Python is used at Netflix. We use and contribute to many open-source Python packages, some of which are mentioned below. are you logged in?

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Python Amazon Web Services Machine Learning Algorithm 111