Monte Carlo

OCTOBER 4, 2023

Given LLMs’ capacity to understand and extract insights from unstructured data, businesses are finding value in summarizing, analyzing, searching, and surfacing insights from large amounts of internal information. Let’s explore how a few key sectors are putting gen AI to use.

Unstructured Data 72

Unstructured Data Finance SQL Media 72

Team Data Science

FEBRUARY 23, 2021

This is the first piece of a series of three articles in which you'll learn: the natural linkage between digital transformation and data capabilities (the WHY); the data capabilities that allow the economic value of data to be extracted (the WHAT); an iterative process to develop data maturity (the HOW).

Business Intelligence 130

Business Intelligence Food Unstructured Data Relational Database 130

AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

JULY 28, 2023

Below is a thorough article on Machine Learning vs Deep Learning. Parameters Machine Learning (ML) Deep Learning (DL) Feature Engineering ML algorithms rely on explicit feature extraction and engineering, where human experts define relevant features for the model. What is Machine Learning?

Deep Learning 52

Deep Learning Machine Learning Unstructured Data Algorithm 52

Knowledge Hut

DECEMBER 26, 2023

However, if they are properly collected and handled, these massive amounts of data can give your company insightful data. We will discuss some of the biggest data companies in this article. So, check out the big data companies list. Both structured and unstructured data may be present in this data.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

ProjectPro

JULY 9, 2021

Suppose you’re among those fascinated by the endless possibilities of deep learning technology and curious about the popular deep learning algorithms behind the scenes of popular deep learning applications. In that case, this article is for you. Introduction to Deep Learning Algorithms How do Deep Learning Algorithms Work?

Deep Learning 40

Deep Learning Algorithm Machine Learning Datasets 40

Knowledge Hut

DECEMBER 26, 2023

According to the Cybercrime Magazine, the global data storage is projected to be 200+ zettabytes (1 zettabyte = 10 12 gigabytes) by 2025, including the data stored on the cloud, personal devices, and public and private IT infrastructures. The dataset can be either structured or unstructured or both.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

AltexSoft

MAY 27, 2022

This article describes how data and machine learning help control the length of stay — for the benefit of patients and medical organizations. In collaboration, they trained random forests — ensemble algorithms consisting of many decision trees — to generate individual forecasts. Data preparation for LOS prediction.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

Edureka

JULY 18, 2023

This article explores AI’s use in banking, focusing on how it affects cybersecurity and fraud prevention as well as the advantages it offers the sector. To find abnormalities and signs of cyber risks, machine learning algorithms analyse vast volumes of data, including log files, user behaviour patterns, and network traffic.

Banking 40

Banking Algorithm Media Machine Learning 40

Knowledge Hut

APRIL 25, 2024

You'll be better able to comprehend the complex ideas in this field if you have a solid understanding of the characteristics of big data in data analytics and a list of essential features for new data platforms. What Are the Different Features of Big Data Analytics? What Spotify does is this.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Knowledge Hut

DECEMBER 26, 2023

What is Data Science? What are the roles and responsibilities of a Data Engineer? How does one become a Data engineer, and what skills are required? Our primary focus in this article will be to answer all these questions and take you a step forward towards your dream of becoming a Data engineer. And many more.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Monte Carlo

FEBRUARY 21, 2023

A data fabric isn’t a standalone technology—it’s a data management architecture that leverages an integrated data layer atop underlying data in order to empower business leaders with real-time analytics and data-driven insights.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

A data fabric isn’t a standalone technology—it’s a data management architecture that leverages an integrated data layer atop underlying data in order to empower business leaders with real-time analytics and data-driven insights.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

AltexSoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. This article explains what a data lake is, its architecture, and diverse use cases. Make sure to check out our dedicated article.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

AltexSoft

NOVEMBER 1, 2023

This article explains what named entity recognition is, its working principles, and how it is used in real life. A corpus can range from a set of news articles to academic journals or even social media posts. NER for structuring unstructured data NER plays a pivotal role in converting unstructured text into structured data.

Deep Learning 52

Deep Learning Machine Learning Datasets Algorithm 52

Knowledge Hut

MARCH 27, 2024

You can check out the Big Data Certification Online to have an in-depth idea about big data tools and technologies to prepare for a job in the domain. To get your business in the direction you want, you need to choose the right tools for big data analysis based on your business goals, needs, and variety.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

AltexSoft

APRIL 27, 2023

In this article, we’ll review the most popular use cases of machine learning and AI in pharma and back them with real-life examples from industry leaders. No wonder, pharma companies seek ways to make the journey shorter — and pin their hopes on data analytics. Read our article on AI in drug discovery and repurposing to learn more.

Data Analytics 52

Data Analytics Pharmaceutical Medical Manufacturing 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. Public datasets.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

AltexSoft

MAY 5, 2023

To better understand how AI contributes to the growth of short-term rentals, we spoke with businesses involved in AI in the STR industry and included their opinions throughout this article. Deep Learning is a subset of machine learning that focuses on building complex algorithms named deep neural networks.

Machine Learning 59

Machine Learning Hospitality Algorithm Deep Learning 59

AltexSoft

OCTOBER 18, 2022

Read our article on HIPAA violations to avoid common mistakes and associated penalties. Medical data anonymization and de-identification. So, before you can use medical data for research or business purposes, you must get rid of personal identifiers and even parts of them (like initials). Medical data labeling.

Medical 52

Medical Datasets Machine Learning Hospitality 52

Snowflake

MARCH 30, 2023

The same information mart data modelling technique is used to select the features you need to support an ML model as a feature view. By adding the ability to run your Java , Scala , and Python within the platform, you no longer need to rely on external programming interfaces to run your transformations/algorithms.

Engineering 83

Engineering Raw Data Data Science Scala 83

Striim

AUGUST 31, 2023

Kappa architecture is a powerful data processing architecture that enables near-real-time data processing, making it ideal for companies needing to quickly process large amounts of data. The platform is optimized to support a wide range of data sources, including both structured and unstructured data.

Data Integration 69

Data Integration Architecture Amazon Web Services ETL System 69

U-Next

AUGUST 18, 2022

Data Science may combine arithmetic, business savvy, technologies, algorithm, and pattern recognition approaches. These factors all work together to help us uncover underlying patterns or observations in raw data that can be extremely useful when making important business choices. Based on Industry.

Unstructured Data 40

Unstructured Data Medical Data Science Business Intelligence 40

Knowledge Hut

JUNE 26, 2023

If you're aspiring to be a data engineer and seeking to showcase your skills or gain hands-on experience, you've landed in the right spot. Get ready to delve into fascinating data engineering project concepts and explore a world of exciting data engineering projects in this article. Which queries do you have?

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

AltexSoft

OCTOBER 25, 2021

Its deep learning natural language processing algorithm is best in class for alleviating clinical documentation burnout, which is one of the main problems of healthcare technology. This allows machines to extract value even from unstructured data. Healthcare organizations generate a lot of text data. Source: Linguamatics.

Medical 52

Medical Healthcare Process Hospitality 52

U-Next

SEPTEMBER 9, 2022

The platform distributes Hadoop large data and analytics operations among computer cluster nodes, breaking them down into smaller workloads that may be handled in parallel. Hadoop can scale up from a single server to thousands of servers and analyze organized and unstructured data. . What is Hadoop in Big Data? .

Hadoop 40

Hadoop Big Data Management Unstructured Data 40

ProjectPro

JANUARY 28, 2022

In data science, algorithms are usually designed to detect and follow trends found in the given data. The modeling follows from the data distribution learned by the statistical or neural model. In real life, the features of data points in any given domain occur within some limits.

Machine Learning 52

Machine Learning Python Datasets Algorithm 52

U-Next

SEPTEMBER 23, 2022

There are many differences between Data Science, Artificial Intelligence, and Machine Learning , which are discussed in this article. . What Is Data Science? . Data has become one of the biggest assets for businesses in the day and age that we live in. How Do Data Science, AI, and Machine Learning Work Together? .

Machine Learning 40

Machine Learning Data Science Manufacturing Healthcare 40

AltexSoft

JUNE 7, 2021

Which Big Data tasks does Spark solve most effectively? This article gives you all the answers — one by one. As a result, a Big Data analytics task is split up, with each machine performing its own little part in parallel. For every data unit, the NameNode has to store metadata with names, access rights, locations, and so on.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

AltexSoft

JULY 27, 2021

In this article, we’re taking you down the road of machine learning-based personalization. By utilizing ML algorithms and data, it is possible to create smart models that can precisely predict customer intent and as such provide quality one-to-one recommendations. But how to start personalizing product and content offers?

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

Knowledge Hut

DECEMBER 27, 2023

Throughout the 20th century, volumes of data kept growing at an unexpected speed and machines started storing information magnetically and in other ways. Accessing and storing huge data volumes for analytics was going on for a long time. We will discuss more on this later in this article. What is Big Data?

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

Knowledge Hut

JANUARY 25, 2024

In the context of data science , clean data is crucial because the quality of your data directly impacts the reliability of your analysis and the outcomes of your algorithms. Data cleaning is like ensuring that the ingredients in a recipe are fresh and accurate; otherwise, the final dish won't turn out as expected.

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

ProjectPro

NOVEMBER 30, 2021

Evolution of Machine Learning Applications in Finance : From Theory to Practice So, to make the most of the new fuel: Data, and to shop for the sky-rising old fuel: Petrol, it is crucial to be aware of all of these new terms thrown at us. Data mining is sometimes also used as a prerequisite for building a machine learning model.

Data Mining 52

Data Mining Machine Learning Data Science Algorithm 52

AltexSoft

AUGUST 22, 2022

So, instead of replacing or rebuilding the existing infrastructure, you add a new, ML-powered abstraction layer on top of the underlying data sources, enabling various users to access and manage the information they need without duplication. Data fabric architecture example. Unified data access.

Architecture 52

Architecture Metadata Data Lake Machine Learning 52

U-Next

AUGUST 11, 2022

It’s a study of Computer Algorithms, which helps self-improvement through experiences. It builds a model based on Sample data and is designed to make predictions and decisions without being programmed for it. It’s a subset of ML which is capable of learning from unstructured data. ML And AI Are The Future.

Medical 52

Medical Computer Science Scala Machine Learning 52

ProjectPro

OCTOBER 20, 2021

The estimator automatically performs the algorithm selection as well as the hyperparameter tuning Auto-Keras : To recall, Keras is an open-source library that provides a Python interface into the world of Artificial Intelligence, especially Tensorflow. 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

Edureka

DECEMBER 21, 2023

It integrates Google’s powerful search engine, allowing it to access recent information, making it stand out for up-to-date responses. Bard seeks to provide fresh, high-quality responses, making complex information easily understandable and accessible for users, and is one of the most prominent ChatGPT competitors.

Media 40

Media Education Accessible Accessibility 40