Cloudera

AUGUST 4, 2021

Using a scalable data management and analytics platform built on Cloudera Enterprise, Sikorsky can process and store data in a reliable way, and analyze full data sets across entire fleets. images, video, text, spectral data) or other input such as thermographic or acoustic signals. .

Unstructured Data 98

Unstructured Data Data Ingestion Government Machine Learning 98

Cloudera

OCTOBER 28, 2020

To start, they look to traditional financial services data, combining and correlating account activity, borrowing history, core banking, investments, and call center data. While Rabobank has always had access to this data, drawing meaningful insight from it was a different matter. .

Unstructured Data 70

Unstructured Data Banking Machine Learning Media 70

Knowledge Hut

OCTOBER 26, 2023

In this blog, we will show some interesting AWS project ideas for all professionals, including beginners, intermediate, and advanced. blog) easily using any of your preferred CMS. You can use AWS SES (Simple Email Service) to send emails and AWS SNS (Simple Notification Service) to trigger the email-sending process.

AWS 52

AWS Coding Project Cloud Computing 52

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. Learning algorithms are applied in this processing system.

Machine Learning 52

Machine Learning Deep Learning Algorithm Data Mining 52

Knowledge Hut

JANUARY 24, 2024

Much like intrepid adventurers venturing into the vast unknown, data scientists embark on a journey through the intricate maze of data, driven by the quest to unearth hidden treasures of insight. Beyond their analytical prowess, they possess the ability to uncover, refine, and present data effectively.

Database-centric 52

Database-centric Data Science Machine Learning Datasets 52

U-Next

AUGUST 18, 2022

We’ll cover all you need to understand, like what does a Data Scientist do ? Can a Data Scientist work from home ? This blog encompasses their fundamental duties, Data Science specializations, or how Data Scientists work in various sectors. What Is Data Science Course?

Unstructured Data 40

Unstructured Data Medical Data Science Business Intelligence 40

Cloudera

FEBRUARY 8, 2021

The diagram below summarizes a dynamic machine learning life cycle in which the connected vehicles ML algorithms model accuracy is continuously improved through a fully integrated machine learning lifecycle. The post Data – the Octane Accelerating Intelligent Connected Vehicles appeared first on Cloudera Blog.

Manufacturing 106

Manufacturing Machine Learning Data Ingestion Electronics 106

DataKitchen

FEBRUARY 27, 2024

Your LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers The rise of Large Language Models (LLMs) such as GPT-4 marks a transformative era in artificial intelligence, heralding new possibilities and challenges in equal measure. In this context, multi-tool Data Journey observability becomes crucial.

Data Engineering 48

Data Engineering Data Engineer Engineering Unstructured Data 48

Cloudera

OCTOBER 21, 2020

The Insurance industry is in uncharted waters and COVID-19 has taken us where no algorithm has gone before. Along the way, tried and tested models and processes are proving unreliable, triggering an evolution in the insurance industry. Take the restaurants of New York City suing their insurers for hundreds of millions of dollars.

Insurance 71

Insurance Unstructured Data Hospitality Media 71

Knowledge Hut

MARCH 28, 2024

This demonstrates the increasing need for Microsoft Certified Data Engineers. In this blog, I will explore Azure data engineer jobs and the top 10 job roles in this field where you can begin your career. They use many data storage, computation, and analytics technologies to develop scalable and robust data pipelines.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 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. Build algorithms and prototypes.

Data Analytics 52

Data Analytics Data Architect Transportation Data Science 52

Knowledge Hut

JULY 26, 2023

They enable organizations to use data as an asset, resulting in greater operational efficiency, improved decision-making, and an edge over competitors in today's data-driven corporate world. Database applications also help in data-driven decision-making by providing data analysis and reporting tools.

Database 52

Database NoSQL Telecommunication MongoDB 52

Knowledge Hut

JULY 26, 2023

Veracity meaning in big data is the degree of accuracy and trustworthiness of data, which plays a pivotal role in deriving meaningful insights and making informed decisions. This blog will delve into the importance of veracity in Big Data, exploring why accuracy matters and how it impacts decision-making processes.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Knowledge Hut

NOVEMBER 16, 2023

More and more companies are focusing on hiring data scientists to help them unlock the true potential of their businesses and channelize maximum profits. A data scientist is a person expert in analytics, especially gathering and evaluating large chunks of structured and unstructured data to find trends and proper data management.

IT 52

IT Software Engineer Software Engineering Cloud Computing 52

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. Statistical modeling: Here, the student has to prepare a real-world model of the mathematical representation and the statistics uncertainties within the analyzing and prediction process.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Databand.ai

DECEMBER 13, 2022

Follow Joseph on LinkedIn 2) Charles Mendelson Associate Data Engineer at PitchBook Data Charles is a skilled data engineer focused on telling stories with data and building tools to empower others to do the same, all in the pursuit of guiding a variety of audiences and stakeholders to make meaningful decisions.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

JUNE 9, 2021

This blog on Data Science vs. Data Engineering presents a detailed comparison between the two domains. Data Science involves applying statistical techniques to raw data, just like data analysts, with the additional goal of building business solutions. It consists of two terms- 'data' and 'engineering'.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Zalando Engineering

NOVEMBER 6, 2017

“Without machine learning, we could never keep up with the amount of fashion resources that are available.” - Ana Peleteiro Ramallo With her team, Ana has been shipping groundbreaking products in Deep Learning for Natural Language Processing (NLP) and Knowledge Extraction. It’s not possible to scale data science without engineering.

Data Science 40

Data Science Deep Learning Media Unstructured Data 40

ProjectPro

SEPTEMBER 14, 2016

Many ProjectPro students looking to make transition into big data hadoop careers often want to know in detail about the hadoop developer job roles and responsibilities before they enrol for a hadoop training. Here’s a blog post that answers the question and details out the job responsibilities of a hadoop developer.

Hadoop 40

Hadoop Unstructured Data Java Big Data 40

Edureka

AUGUST 2, 2023

Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation. Let’s take a deep dive into the subject and look at what we’re about to study in this blog: Table of Contents What Is Data Processing Analysis?

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Knowledge Hut

DECEMBER 26, 2023

Data science is a subject of study that utilizes scientific methods, processes, algorithms, and systems to uproot knowledge and insights from data in various forms, both structured and unstructured. Data science is related to data mining and big data.

Data Science 52

Data Science Consulting Computer Science Education 52

Cloudera

NOVEMBER 14, 2023

This may not seem like a reality to you personally, but as I noted in a previous blog , for the 1.7 Data plays a pivotal role in the path to achieving financial inclusion. In this blog post, we’ll explore why financial inclusion makes good business sense and how data and AI are vital to transforming access to financial services.

Banking 73

Banking Education Unstructured Data Algorithm 73

Edureka

JANUARY 18, 2024

It also discusses available resources and tools, and the current data science landscape. For those looking to start learning in 2024, here is a data science roadmap to follow. What is Data Science? I hope you understand the actual requirements of data science, so let’s take a deep dive into data science roadmap.

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

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. This is one of the major reasons behind the popularity of data science. An exploratory study of the given data set.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

ProjectPro

JULY 9, 2021

All thanks to deep learning - the incredibly intimidating area of data science. With the help of natural language processing (NLP) tools, it has led to the development of exciting artificial intelligence applications like language recognition, autonomous vehicles, and computer vision robots, to name a few. What is Deep Learning?

Deep Learning 40

Deep Learning Algorithm Machine Learning Datasets 40

Cloudera

OCTOBER 5, 2023

Your company collects data from different sources and then you analyze the data to help make the right decisions. Perhaps the process is time consuming and cumbersome. Or you are only currently using data for a few use cases and struggle to implement organization wide. Ready to become a true data leader?

Data Governance 80

Data Governance Unstructured Data Government High Quality Data 80

ProjectPro

MAY 20, 2015

There are several big data and business analytics companies that offer a novel kind of big data innovation through unprecedented personalization and efficiency at scale. Which big data analytic companies are believed to have the biggest potential? “It’s not a “butt in seat” culture.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

Tweag

APRIL 19, 2023

Detecting cancerous cells in microscopic photography of cells (Whole Slide Images, aka WSIs) is usually done with segmentation algorithms, which NNs are very good at. To allow innovation in medical imaging with AI, we need efficient and affordable ways to store and process these WSIs at scale. data import torch. width , spec.

Medical 60

Medical Process Cloud Bytes 60

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. People started leveraging the cloud's power to run complex algorithms to solve these challenges.

AWS 52

AWS Data Science Certification Amazon Web Services 52

Knowledge Hut

JANUARY 25, 2024

It doesn't matter if you're a data expert or just starting out; knowing how to clean your data is a must-have skill. The future is all about big data. This blog is here to help you understand not only the basics but also the cool new ways and tools to make your data squeaky clean. What is Data Cleaning?

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

AltexSoft

FEBRUARY 21, 2023

This blog post will delve into the challenges, approaches, and algorithms involved in hotel price prediction. Hotel price prediction is the process of using machine learning algorithms to forecast the rates of hotel rooms based on various factors such as date, location, room type, demand, and historical prices.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. Contents: What is the role of an Azure Data Engineer? Azure data engineers are essential in the design, implementation, and upkeep of cloud-based data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

AUGUST 16, 2021

Machine Learning Projects on Natural Language Processing (NLP) 5. FAQs on Machine Learning Projects for Resume Machine Learning Projects for Resume - A Must-Have to Get Hired in 2021 Machine Learning and Data Science have been on the rise in the latter part of the last decade. Machine Learning Projects on Classification 2.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

Snowflake

MARCH 30, 2023

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. Based on Tecton blog So is this similar to data engineering pipelines into a data lake/warehouse?

Engineering 82

Engineering Raw Data Data Science Scala 82

ProjectPro

OCTOBER 20, 2021

It is important to understand how data flows in the real world and what kind of AI interview questions are being discussed across companies. The value of a company lies solely in the interview process. Auto-Weka : Weka is a top-rated java-based machine learning software for data exploration.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

U-Next

OCTOBER 26, 2022

The future of AI in finance is thoroughly discussed in this blog. . It mainly focuses on building systems that perform based on the input data without requiring numerous human interventions such as coding, etc. Process Optimization . Algorithmic Trading . Risk Management . Regulatory Compliance .

Finance 40

Finance Portfolio Banking Algorithm 40

U-Next

AUGUST 3, 2022

Up until 2010, it was extremely difficult for companies to store data. Now that well-known technologies like Hadoop and others have resolved the storage issue, the emphasis is on information processing. And Data Science has a significant impact here. What is a Data Scientist? What is the work of a Data Scientist?

Retail 52

Retail Data Science Computer Science Entertainment 52