Knowledge Hut

MAY 3, 2024

Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. Cluster Computing: Efficient processing of data on Set of computers (Refer commodity hardware here) or distributed systems. You can combine these libraries seamlessly in the same application.

Scala 98

Scala Hadoop Healthcare Big Data 98

Tweag

APRIL 19, 2023

Machine Learning (ML). Deep Learning. 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. Artificial Intelligence (AI). Neural Networks (NNs).

Medical 60

Medical Process Cloud Bytes 60

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

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

Due to the technological revolution, Machine Learning, Artificial Intelligence, and Data Science have changed our day-to-day lives. . Data Science, Artificial Intelligence, and Machine Learning are sometimes used interchangeably. What Is Data Science? . What is Machine Learning? .

Machine Learning 40

Machine Learning Data Science Manufacturing Healthcare 40

Knowledge Hut

MAY 23, 2024

Comparison Between Full Stack Developer vs Data Scientist Let’s compare Full stack vs data science to understand which is better, data science or full stack developer. Specifications Full stack developer Data scientist Term It is the creation of websites for the intranet, which is a public platform.

Computer Science 98

Computer Science Java Data Science Certification 98

Knowledge Hut

DECEMBER 26, 2023

What i s Data Science and Why is it Important? Data Science is the study of extracting insights from massive amounts of data using various scientific approaches, processes and algorithms. The development of big data, data analysis, and quantitative statistics has given rise to the term "data science."

Data Science 52

Data Science Unstructured Data Medical Healthcare 52

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. The length of stay (LOS) in a hospital , or the number of days from a patient’s admission to release, serves as a strong indicator of both medical and financial efficiency.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

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

AltexSoft

DECEMBER 15, 2021

Machine learning evangelizes the idea of automation. On the surface, ML algorithms take the data, develop their own understanding of it, and generate valuable business insights and predictions — all without human intervention. This leaves only 10 percent of the entire flow automated by ML models. MLOps cycle.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

Edureka

JANUARY 18, 2024

This guide provides a comprehensive understanding of the essential skills and knowledge required to become a successful data scientist, covering data manipulation, programming, mathematics, big data, deep learning, and machine learning technologies.

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

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

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. This phase involves numerous clinical trial systems and largely relies on clinical data management practices to organize information generated during medical research.

Data Analytics 52

Data Analytics Pharmaceutical Medical Manufacturing 52

Knowledge Hut

MAY 2, 2024

As per Apache, “ Apache Spark is a unified analytics engine for large-scale data processing ” Spark is a cluster computing framework, somewhat similar to MapReduce but has a lot more capabilities, features, speed and provides APIs for developers in many languages like Scala, Python, Java and R.

Scala 52

Scala Hospitality Healthcare Retail 52

ProjectPro

AUGUST 16, 2021

Sending out the exact old traditional style data science or machine learning resume might not be doing any favours in your machine learning job search. With cut-throat competition in the industry for high-paying machine learning jobs, a boring cookie-cutter resume might not just be enough.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

U-Next

AUGUST 11, 2022

Artificial Intelligence is achieved through the techniques of Machine Learning and Deep Learning. Machine Learning (ML) is a part of Artificial Intelligence. It’s a study of Computer Algorithms, which helps self-improvement through experiences. Why Should You Pursue A Career In Artificial Intelligence?

Medical 52

Medical Computer Science Scala Machine Learning 52

Knowledge Hut

DECEMBER 29, 2023

Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization. A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

JULY 26, 2023

Variety: Variety represents the diverse range of data types and formats encountered in Big Data. Traditional data sources typically involve structured data, such as databases and spreadsheets. However, Big Data encompasses unstructured data, including text documents, images, videos, social media feeds, and sensor data.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

U-Next

AUGUST 18, 2022

Data Scientist is a highly dynamic job and requires a person to be well-versed in AI, business intelligence, Machine Learning earning, etc. Learn more about it here. What Does a Data Scientist Do? You could receive ten different responses if you consult ten distinct Data Scientists with the same question.

Unstructured Data 40

Unstructured Data Medical Data Science Business Intelligence 40

Towards Data Science

OCTOBER 7, 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 74

Unstructured Data Finance SQL Media 74

Knowledge Hut

JUNE 27, 2023

For example, computer scientists are developing wearable technologies & medical devices that can track vital signs & improve patient outcomes. Cybersecurity, Data Analytics & Machine Learning are gaining more prominence. It helps to exchange data and interact with each other without human intervention.

Computer Science 52

Computer Science Entertainment Healthcare Finance 52

Knowledge Hut

APRIL 23, 2024

Big Data Use Cases in Industries You can go through this section and explore big data applications across multiple industries. Clinical Decision Support: By analyzing vast amounts of patient data and offering in-the-moment insights and suggestions, use cases for big data in healthcare helps workers make well-informed judgments.

Big Data 52

Big Data Retail Recruitment Transportation 52

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

Knowledge Hut

FEBRUARY 28, 2024

In this blog, we will explore the future of big data in business, its applications, and the technologies that will drive its evolution. What is Big Data? Big data refers to large amounts of data. The differentiation between data and big data becomes clear once we look at the methods of analyzing them.

Big Data 52

Big Data Cloud Storage Healthcare SQL 52

Knowledge Hut

JULY 3, 2023

From sentiment analysis to language comprehension, NLP engineers are shaping the future of AI and enabling businesses to make informed decisions based on the vast amount of unstructured data available today. In this article, we'll have a closer look into the NLP engineer salary ranges across companies and geographies.

Engineering 52

Engineering Unstructured Data Certification Computer Science 52

AltexSoft

MAY 27, 2021

Healthcare, for example, is filled with millions of patient records and medical forms. The documents often come in semi-structured and unstructured data formats, which makes them difficult to process quickly and accurately. The latter offers a fully-managed, HIPAA-compliant service called Amazon Comprehend Medical.

Technology 64

Technology Process Insurance Medical 64

U-Next

SEPTEMBER 22, 2022

Machine Learning and business intelligence are used in predictive analytics, also known as advanced analytics. . Data from the past is commonly used in predictive analytics models and variables. Based on the common attributes of the data, this model nests them together. What Are Predictive Models? . Clustering Model .

Hospitality 40

Hospitality Algorithm Machine Learning Banking 40

U-Next

SEPTEMBER 23, 2022

Drill-down, data mining, and other techniques are used to find the underlying cause of occurrences. Methods like sensitivity analysis and training algorithms are used for classification and regression. However, it also uses statistical modeling and Machine Learning techniques.

Data Mining 40

Data Mining Business Analyst Deep Learning Algorithm 40

ProjectPro

JUNE 1, 2017

For these hadoop vendors, the big data market is all about big and fast data that includes cloud based services for Hadoop and other offerings for running Spark , big data pipelines, machine learning and Streaming.All these managed services are a boon for hadoop vendors to fulfill their promises in a broader ecosystem.

Hadoop 52

Hadoop Medical Pipeline-centric Database-centric 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

AltexSoft

OCTOBER 3, 2022

machine learning , allowing for analyzing the knowledge contained in the source data and generating new knowledge. Knowledge graphs for enterprise data integration. Bringing data together from heterogeneous enterprise sources and creating a unified view of that data is a popular application of knowledge graphs.

Relational Database 52

Relational Database Banking Media Computer Science 52

ProjectPro

MARCH 17, 2014

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Image Credit: twitter.com There are hundreds of companies like Facebook, Twitter, and LinkedIn generating yottabytes of data. What is Big Data according to EMC? billion by end of 2017.Organizations

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52

ProjectPro

NOVEMBER 14, 2015

It sits within the Apache Hadoop umbrella of solutions and facilitates the fast development of end-to-end Big Data applications. It plays a key role in streaming in the form of Spark Streaming libraries, interactive analytics in the form of SparkSQL and also provides libraries for machine learning that can be imported using Python or Scala.

Hadoop 52

Hadoop Project Big Data Healthcare 52