Team Data Science

FEBRUARY 23, 2021

Companies can now make data useful to elevate decision making and to optimise products and processes. It's currently easy to acquire data strategically. Ultimately, companies are able to systematically analyse examples of customer journeys and internal processes.

Business Intelligence 130

Business Intelligence Food Unstructured Data Relational Database 130

AltexSoft

MAY 27, 2021

The documents often come in semi-structured and unstructured data formats, which makes them difficult to process quickly and accurately. That’s when intelligent document processing or IDP enters the game. This post is a perfect place to get acquainted with intelligent document processing.

Technology 64

Technology Process Insurance Medical 64

Data Engineering Podcast

FEBRUARY 24, 2019

What are some ways that we can use deep learning as part of the data management process? What is your litmus test for whether to use deep learning vs explicit ML algorithms or a basic decision tree? What is your litmus test for whether to use deep learning vs explicit ML algorithms or a basic decision tree?

Deep Learning 100

Deep Learning Data Engineering Data Engineer Engineering 100

Knowledge Hut

MAY 3, 2024

Cluster Computing: Efficient processing of data on Set of computers (Refer commodity hardware here) or distributed systems. It’s also called a Parallel Data processing Engine in a few definitions. Spark is utilized for Big data analytics and related processing. Why Apache Spark? Let’s discuss one by one.

Hadoop 98

Hadoop Scala Healthcare Big Data 98

Knowledge Hut

JANUARY 18, 2024

Using advanced analytical tools, a data scientist interprets data and presents it in meaningful information. For more information, check out the best Data Science certification. A data scientist’s job description focuses on the following – Automating the collection process and identifying the valuable data.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

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.

Manufacturing 113

Manufacturing Machine Learning Data Ingestion Electronics 113

Snowflake

OCTOBER 26, 2023

Generative AI uses neural networks and deep learning algorithms from LLMs to identify patterns in existing data to generate original content. But while the potential is theoretically limitless, there are a number of data challenges and risks HCLS executives need to be aware of when using AI that can create new content.

Healthcare 89

Healthcare Unstructured Data High Quality Data Medical 89

Knowledge Hut

APRIL 26, 2024

Machine Learning without data sets will not exist because ML depends on data sets to bring out relevant insights and solve real-world problems. Machine learning uses algorithms that comb through data sets and continuously improve the machine learning model.

Machine Learning 98

Machine Learning Datasets Deep Learning Finance 98

Knowledge Hut

DECEMBER 22, 2023

Statistics Statistics are at the heart of complex machine learning algorithms in data science, identifying and converting data patterns into actionable evidence. Microsoft Excel An effective Excel spreadsheet will arrange unstructured data into a legible format, making it simpler to glean insights that can be used.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

Knowledge Hut

DECEMBER 26, 2023

You can execute this by learning data science with python and working on real projects. These skills are essential to collect, clean, analyze, process and manage large amounts of data to find trends and patterns in the dataset. The dataset can be either structured or unstructured or both.

Data Science 97

Data Science BI Business Intelligence Machine Learning 97

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

JANUARY 18, 2024

Data Science is a field of study that handles large volumes of data using technological and modern techniques. This field uses several scientific procedures to understand structured, semi-structured, and unstructured data. Both data science and software engineering rely largely on programming skills.

Software Engineer 97

Software Engineer Software Engineering Data Science Engineering 97

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 76

Unstructured Data Banking Machine Learning Media 76

Cloudera

NOVEMBER 4, 2024

These methods were often time-consuming, labor-intensive, and limited in their ability to handle complex language nuances and unstructured data. We created our “Document Analysis with Command R and FAISS” AMP to make that process even easier.

Unstructured Data 80

Unstructured Data Architecture Algorithm Machine Learning 80

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. What is Natural Language Processing? This allows machines to extract value even from unstructured data. Nuance, acquired for $19.7

Medical 52

Medical Healthcare Process Hospitality 52

AltexSoft

MAY 27, 2022

A large hospital group partnered with Intel, the world’s leading chipmaker, and Cloudera, a Big Data platform built on Apache Hadoop , to create AI mechanisms predicting a discharge date at the time of admission. The built-in algorithm learns from every case, enhancing its results over time. Data preparation for LOS prediction.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

Cloudera

DECEMBER 19, 2023

Some of the primary operational problems highlighted at the PCN Government Innovation event include: Civil Government : A major challenge facing the civil government is the inefficient and cumbersome procurement process. Make sure to audit data regularly. Develop mitigation strategies. Disable models if serious problems occur.

Government 96

Government Education Unstructured Data Algorithm 96

Knowledge Hut

APRIL 25, 2024

Big data vs machine learning is indispensable, and it is crucial to effectively discern their dissimilarities to harness their potential. Big Data vs Machine Learning Big data and machine learning serve distinct purposes in the realm of data analysis.

Machine Learning 52

Machine Learning Big Data Unstructured Data Data Mining 52

Knowledge Hut

MAY 31, 2023

Artificial intelligence (AI) projects are software-based initiatives that utilize machine learning, deep learning, natural language processing, computer vision, and other AI technologies to develop intelligent programs capable of performing various tasks with minimal human intervention.

Project 96

Project Healthcare Deep Learning Transportation 96

AltexSoft

MAY 12, 2022

Our brains are constantly processing sounds to give us important information about our environment. But first, let’s go over the basics: What is the audio analysis, and what makes audio data so challenging to deal with. Audio analysis is a process of transforming, exploring, and interpreting audio signals recorded by digital devices.

Machine Learning 122

Machine Learning Building Deep Learning Healthcare 122

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse. In this role, they would help the Analytics team become ready to leverage both structured and unstructured data in their model creation processes. They construct pipelines to collect and transform data from many sources.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

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 89

Data Governance Unstructured Data Government High Quality Data 89

RandomTrees

NOVEMBER 25, 2024

Understanding Generative AI Generative AI describes an integrated group of algorithms that are capable of generating content such as: text, images or even programming code, by providing such orders directly. The considerable amount of unstructured data required Random Trees to create AI models that ensure privacy and data handling.

Telecommunication 52

Telecommunication IT Unstructured Data Data Mining 52

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 77

Insurance Unstructured Data Hospitality Media 77

Knowledge Hut

JULY 24, 2023

The future of SQL (Structured Query Language) is a scalding subject among professionals in the data-driven world. As data generation continues to skyrocket, the demand for real-time decision-making, data processing, and analysis increases. It is also integrable with other programming languages like Python and R.

Database 52

Database SQL Process NoSQL 52

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

ProjectPro

JUNE 18, 2015

Big Data holds the promise of changing how businesses and people solve real world problems and Crowdsourcing plays a vital role in managing big data. Let’s understand how crowdsourcing big data can revolutionize business processes. When we think of big data, we think of enterprise crowdsourcing.

Big Data 52

Big Data Process Data Cleanse Data Analytics 52

Cloudera

NOVEMBER 14, 2023

Credit scoring and risk assessment: Traditional credit scoring models rely on narrow and limited financial data, making it difficult for individuals without a well-established credit history to access loans or other financial products.

Banking 80

Banking Education Unstructured Data Algorithm 80

Cloudera

JUNE 12, 2024

Traditional machine learning (ML) models enhance risk management, credit scoring, anti-money laundering efforts and process automation. Bridgewater Associates leverages GenAI to process data for trading signals and portfolio optimization. HSBC harnesses ML for anti-money laundering efforts based on transaction patterns.

Finance 83

Finance Portfolio Government Unstructured Data 83

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

ProjectPro

NOVEMBER 30, 2021

The crux of all data-driven solutions or business decision-making lies in how well the respective businesses collect, transform, and store data. When working on real-time business problems, data scientists build models using various Machine Learning or Deep Learning algorithms.

Process 52

Process Data Pipeline Data Warehouse AWS 52

Monte Carlo

NOVEMBER 9, 2023

We *know* what we’re putting in (raw, often unstructured data) and we *know* what we’re getting out, but we don’t know how it got there. One thing to note about RAG architectures is that their performance heavily relies on your ability to build effective data pipelines that make enterprise data available to AI models.

Unstructured Data 86

Unstructured Data Database Data Pipeline Architecture 86

phData: Data Engineering

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. Consistency of data throughout the data lake.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

AltexSoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Obviously, Big Data processing involves hundreds of computing units.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Knowledge Hut

AUGUST 16, 2024

This will form a strong foundation for your Data Science career and help you gain the essential skills for processing and analyzing data, and make you capable of stepping into the Data Science industry. Let us look at some of the areas in Mathematics that are the prerequisites to becoming a Data Scientist.

Data Science 52

Data Science Hadoop Unstructured Data Programming Language 52

Knowledge Hut

APRIL 23, 2024

View A broader view of data Narrower view of data Data Data is gleaned from diverse sources. Data is gleaned from structured and specific sources Volume Massive volumes of data Smaller volumes of data Analysis Entails techniques like data aggregation, fusion, etc.,

Data Mining 52

Data Mining Big Data Database-centric Unstructured Data 52

Knowledge Hut

JULY 28, 2023

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. DL models automatically learn features from raw data, eliminating the need for explicit feature engineering. What is Machine Learning?

Deep Learning 52

Deep Learning Machine Learning Unstructured Data Algorithm 52