ProjectPro

NOVEMBER 25, 2021

To mitigate this challenge, organizations are now leveraging natural language processing and machine learning techniques to extract meaningful insights from unstructured text data. Read this blog to learn about text classification, one of the core topics of natural language processing.

Machine Learning 52

Machine Learning Algorithm Datasets Google Cloud 52

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.

Machine Learning 107

Machine Learning Python Kafka Java 107

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. Why should you learn Machine learning?

Machine Learning 52

Machine Learning Programming Language Datasets Python 52

ProjectPro

SEPTEMBER 29, 2021

Probability and Statistics are two intertwined topics that smoothen one’s path to becoming a Machine Learning pro. In this blog, you will find a detailed description of all you need to learn about probability and statistics for machine learning. How to become good at Statistics for Machine Learning?

Machine Learning 52

Machine Learning Insurance Algorithm Datasets 52

ProjectPro

SEPTEMBER 6, 2021

The Machine Learning market is anticipated to be worth $30.6 Machine Learning plays a vital role in the design and development of such solutions. Machine learning is everywhere. Machine Learning has a wide range of use cases and applications in this area. Billion in 2024.

Machine Learning 52

Machine Learning Retail Healthcare Medical 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. Tessaract 4.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. It is because these apps render machine learning models that try to understand the customer's taste. can help you model such machine learning projects.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Knowledge Hut

APRIL 25, 2024

In this blog post, we will discuss such technologies. If you pursue the MSc big data technologies course, you will be able to specialize in topics such as Big Data Analytics, Business Analytics, Machine Learning, Hadoop and Spark technologies, Cloud Systems etc. Spark also supports SQL queries and machine learning algorithms.

Big Data 98

Big Data Technology NoSQL Hadoop 98

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

Cloudera

JANUARY 7, 2021

And in the world of e-commerce, assigning product descriptions to the most fitting product category ensures quality control. . However, collecting annotations for your use case is typically one of the most costly parts of the machine learning life cycle. Another fact of real-world use cases is the uneven distribution of data.

Machine Learning 106

Machine Learning Algorithm Deep Learning Designing 106

Cloudera

DECEMBER 14, 2021

But with growing demands, there’s a more nuanced need for enterprise-scale machine learning solutions and better data management systems. In 2021, the finalists under this category include the following organizations. It is also the winning solution in this category. Internal Revenue Service.

Transportation 109

Transportation Telecommunication Banking Data Lake 109

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.

Consulting 81

Consulting Data Science Architecture Engineering 81

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

Cloudera

OCTOBER 6, 2022

CIO blog post : “Digital transformation is a foundational change in how an organization delivers value to its customers.”. Optimize automation: AI and machine learning (ML) are now the key terms here, but RPA (Robotic Process Automation) still has its place in driving efficiency throughout the enterprise.

Data Lake 87

Data Lake Machine Learning Data Storage Cloud Computing 87

Data Engineering Podcast

SEPTEMBER 4, 2022

Summary Data observability is a product category that has seen massive growth and adoption in recent years. In your work to gain visibility and traction you invested substantially in content creation (blog posts, presentations, round table conversations, etc.). A few years ago, the category barely existed – what’s changed?

IT 100

IT Metadata MongoDB MySQL 100

Pinterest Engineering

SEPTEMBER 20, 2023

Machine Learning Engineer; Rohan Mahadev | Machine Learning Engineer II; Sujay Khandagale | Machine Learning Engineer II; Abhay Varmaraja | Machine Learning Engineer II Pinterest’s mission as a company is to bring everyone the inspiration to create a life they love. Pedro Silva | Sr.

Building 85

Building Pipeline-centric Machine Learning Datasets 85

Christophe Blefari

DECEMBER 3, 2022

stating that machine learning field should find DevOps practitioners to fill the lack of people in ML operations. Joe Reis launched his Substack — Joe is the co-author of the great The Fundamentals of Data Engineering and his blog already have 2 articles I deeply recommend: No extra credit for complexity & Groundhog Days.

Kafka 130

Kafka BI Finance Data 130

LinkedIn Engineering

APRIL 20, 2023

In this blog, we’ll discuss the steps we’re taking to create a trusted and safe environment by implementing various spam and policy-violating content detection measures. The AI models used to detect violative content can be broadly classified into two main categories: 1) proactive defenses and 2) reactive defenses.

Machine Learning 124

Machine Learning Utilities Designing Accessible 124

Cloudera

NOVEMBER 26, 2020

While all our winners are doing phenomenal work, one of the most exciting awards of the night was The Data for Enterprise AI category. This award recognized organizations that have built and deployed systems for enterprise-scale machine learning (ML) and have industrialized AI to automate, secure, and standardize data-driven decision making.

Machine Learning 104

Machine Learning Big Data Data Database 104

Data Engineering Weekly

MARCH 26, 2023

The blog highlights that the job is not just writing SQL but providing a strategic business solution for an organization. link] Instacart: Distributed Machine Learning at Instacart There is much talk about the impact of Machine Learning; however, a stable underlying infrastructure is vital to realize the true potential of Machine Learning.

Data Engineering 52

Data Engineering Data Engineer Engineering Lambda Architecture 52

Databand.ai

AUGUST 30, 2023

These tools play a vital role in data preparation, which involves cleaning, transforming and enriching raw data before it can be used for analysis or machine learning models. There are several types of data testing tools. In this article: Why are data testing tools important?

Data Cleanse 52

Data Cleanse Data Pipeline Datasets Data Validation 52

Christophe Blefari

JANUARY 20, 2024

In this category I recommend also to have a look at data ingestion (Airbyte, Fivetran, etc.), My advice on this point is to learn from others. Read technical blogs, watch conferences and read 📘 Designing Data-Intensive Applications (even if it could be overkill). workflows (Airflow, Prefect, Dagster, etc.)

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Cloudera

AUGUST 20, 2020

Machine Learning (ML) and Artificial Intelligence (AI), while still emerging technologies inside of enterprise organisations, have given some companies the ability to dynamically change their fortunes and reshape the way they are doing business — that is if they are brave enough to experiment and explore the unknown.

Banking 121

Banking Deep Learning Data Science Machine Learning 121

DoorDash Engineering

APRIL 26, 2023

In this blog post, we’ll examine how DoorDash hopes to leverage Generative AI and revolutionize the delivery experience. By analyzing vast amounts of data, the models can suggest a list of items that are often ordered together for each meal category, such as breakfast, lunch, and dinner. ChatGPT, the version of GPT-3.5

Food 98

Food Unstructured Data Deep Learning SQL 98

Cloudera

MAY 12, 2021

The 2021 Cloudera Data Impact Award categories aim to recognize organizations that are using Cloudera’s platform and services to unlock the power of data, with massive business and social impact. A new award category for 2021. A popular category last year, and no doubt this year too. DATA FOR ENTERPRISE AI. PEOPLE FIRST.

Food 68

Food Healthcare Government Medical 68

Knowledge Hut

NOVEMBER 27, 2023

Developing technical skills is essential, starting with foundational knowledge in mathematics, including calculus and linear algebra, which underpin machine learning and deep learning concepts. Through the article, we will learn what data scientists do, and how to transits to a data science career path.

Data Science 52

Data Science Datasets Machine Learning Algorithm 52

Databand.ai

AUGUST 30, 2023

These tools play a vital role in data preparation, which involves cleaning, transforming, and enriching raw data before it can be used for analysis or machine learning models. There are several types of data testing tools. In this article: Why Are Data Testing Tools Important?

Data Cleanse 52

Data Cleanse Data Validation Data Pipeline Datasets 52

Data Engineering Weekly

NOVEMBER 27, 2022

I have a long list of thoughts on this conversation, which might need a blog post on its own. Machine Learning powers every application feature listed above. link] Airbnb: Building Airbnb Categories with ML and Human-in-the-Loop Data & Machine Learning are increasingly powering the applications and driving user experience.

Data Engineering 52

Data Engineering Data Engineer Engineering SQL 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.

Media 52

Media Finance Medical Healthcare 52

LinkedIn Engineering

OCTOBER 19, 2023

This robust framework empowers near real-time data processing for critical services and platforms, ranging from machine learning and notifications to anti-abuse AI modeling. There was also a growing need for multi-language support within the overall Java-prevalent teams due to emerging machine learning use cases requiring Python.

Process 119

Process Lambda Architecture Kafka Machine Learning 119

Cloudera

DECEMBER 6, 2021

As a result of their accomplishments, Cloudera has named these organizations as finalists for the 2021 Cloudera Data Impact Awards in the “Cloud Innovation” category. . The post How Hybrid and Cloud-Based Architectures are Unlocking the Power of Data appeared first on Cloudera Blog. ExxonMobil. You can become a data hero too.

Architecture 81

Architecture Cloud Medical Electronics 81

Picnic Engineering

JULY 24, 2023

Want to learn more about why and how we aim to do that utilizing fruit and festive experiments? In this blog post, we’ll discuss how we teach transformers to distinguish between products like a potato and a banana, thereby enhancing future demand prediction. However, newer techniques using advanced machine learning can help.

Datasets 52

Datasets Architecture Utilities Raw Data 52

Cloudera

JULY 21, 2021

This is the category for Cloudera customers whose IT administration provides the agility business requires, without putting organizations at risk, and who are embracing a pattern of technology adoption that prioritizes speed. Last year’s awards saw OVO crowned as Data Champions. Winning the award for OVO UnCover was a humbling experience.

Insurance 93

Insurance Hospitality Banking Data 93

Cloudera

OCTOBER 27, 2020

Our goal is to take the incredible data science and machine learning research developments we see emerging from academia and large industrial labs, and bridge the gap to products and processes that are useful to practitioners working across industries. Evolving Research At Cloudera Fast Forward.

Deep Learning 61

Deep Learning Machine Learning Algorithm Data Science 61

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. Learn more about Cloudera’s approach to security and compliance at cloudera.com/trustcenter.

Government 81

Government Metadata Data Lake Data 81

Cloudera

NOVEMBER 24, 2020

This year, OVO has done just that, setting itself apart to win the Data Champions category at our 2020 Data Impact Awards. This category recognizes organizations whose IT administration provides the agility a business requires, without putting the business at risk, and embraces a pattern of technology adoption that prioritizes speed.

Banking 73

Banking Insurance Finance Data 73

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. 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!

Data Science 52

Data Science Medical Machine Learning Data 52