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

Knowledge Hut

MAY 2, 2024

Reusability: Spark code once written for batch processing jobs can also be utilized for writing processed on Stream processing and it can be used to join historical batch data and stream data on the fly. Streaming Data: Streaming is basically unstructured data produced by different types of data sources.

Scala 52

Scala Hospitality Healthcare Retail 52

Knowledge Hut

DECEMBER 29, 2023

There are many data science fields in which experts may contribute to the success of a business, and you can hone the abilities you need by specializing in data science subfields. Data Engineering and Warehousing The data is the lifeblood of every successful Data Science endeavor.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

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

Knowledge Hut

MARCH 15, 2024

7) DP-203: Microsoft Azure Data Engineer Associate Your proficiency in developing and executing data solutions that make use of Microsoft Azure data services will grow with the assistance of this professional certificate. To comprehend the efficiency of algorithms, learn to examine their time and space complexity.

Cloud Computing 52

Cloud Computing Algorithm Certification SQL 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. Let us get started!

Project 96

Project Healthcare Deep Learning Transportation 96

Knowledge Hut

JANUARY 24, 2024

In their quest for knowledge, data scientists meticulously identify pertinent questions that require answers and source the relevant data for analysis. Beyond their analytical prowess, they possess the ability to uncover, refine, and present data effectively. Optimizing resource utilization is crucial.

Database-centric 52

Database-centric Data Science Machine Learning Datasets 52

ProjectPro

FEBRUARY 16, 2023

The study and pattern of how humans think is the foundation of artificial intelligence, and the algorithm replicates human brain functions. On the other hand, business intelligence is a technology utilized to make better decisions in business solutions. Tools OLAP, data visualization, reporting, and dashboards.

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

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. Below are three examples of customers that have utilized enhanced data and analytics to advance their customer experience initiatives: .

Unstructured Data 70

Unstructured Data Banking Machine Learning Media 70

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.

Unstructured Data 40

Unstructured Data Medical Data Science Business Intelligence 40

Knowledge Hut

JUNE 20, 2023

They transform unstructured data into scalable models for data science. Data Engineer vs Machine Learning Engineer: Responsibilities Data Engineer Responsibilities: Analyze and organize unstructured data Create data systems and pipelines. Assemble data for predictive and prescriptive modeling.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

DataKitchen

FEBRUARY 27, 2024

LLMs have the potential to revolutionize how we interact with data, automate processes, and extract insights. However, the foundation of their success rests not just on sophisticated algorithms or computational power but on the quality and integrity of the data they are trained on and interact with.

Data Engineering 46

Data Engineering Data Engineer Engineering Unstructured Data 46

Knowledge Hut

JULY 26, 2023

It is widely utilized for its great scalability, fault tolerance, and quick write performance, making it ideal for large-scale data storage and real-time analytics applications. They provide specialized data types and indexing algorithms for storing and querying map, coordinate, and spatial relationship information.

Database 52

Database NoSQL Telecommunication MongoDB 52

Knowledge Hut

OCTOBER 26, 2023

AWS Lambda can be utilized with other email or SMS services to create a cost-effective mass mailing solution. Most streaming platforms, including Netflix and Amazon Prime Video, already utilize content recommendation systems. These containers scan and read the identity cards using deep learning algorithms for marking attendance.

AWS 52

AWS Coding Project Cloud Computing 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

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

Knowledge Hut

JUNE 20, 2023

Predictive analytics is a method or technique of predicting a business procedure's future results or outcomes based on historical data. Business analysts use various statistical tools and machine learning algorithms to make forecasts. It will only increase shortly, which will yield effective results for the companies.

Business Analyst 52

Business Analyst Banking Unstructured Data Cloud Computing 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. The public is becoming more aware of how valuable NLP gadgets can be and are utilized by many individuals regularly.

Engineering 52

Engineering Unstructured Data Certification Computer Science 52

Cloudera

OCTOBER 21, 2020

The Insurance industry is in uncharted waters and COVID-19 has taken us where no algorithm has gone before. Instead of in-person appointments or walkthroughs, insurance companies may now rely on drone footage, satellite imagery, social media posts, and mobile apps that gather data on customers. And the approach extends to insurers.

Insurance 71

Insurance Unstructured Data Hospitality Media 71

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

AltexSoft

AUGUST 29, 2023

The term data lake itself is metaphorical, evoking an image of a large body of water fed by multiple streams, each bringing new data to be stored and analyzed. Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Silectis

JANUARY 3, 2021

BI (Business Intelligence) Strategies and systems used by enterprises to conduct data analysis and make pertinent business decisions. Big Data Large volumes of structured or unstructured data. Data lakes allow for more flexibility than a more rigid data warehouse. Also called k8s.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

U-Next

SEPTEMBER 19, 2022

Data Science is an AI learning path and an interdisciplinary field that applies information from data across various application fields by using scientific methods, procedures, algorithms, and systems to extract knowledge and insights from chaotic organized, and unorganized data.

Data Science 40

Data Science Programming Language Unstructured Data Data Mining 40

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. Regression analysis: This technique talks about the predictive methods that your system will execute while interacting between dependent variables (target data) and independent variables (predictor data).

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

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. With the amounts of data involved, this can be crucial to utilizing a data lake effectively.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

AltexSoft

OCTOBER 18, 2022

Medical data labeling. Medical or not, unstructured data — like texts, images, or audio files — require labeling or annotation to train machine learning models. This process involves adding descriptive elements — tags — to pieces of data so that a computer could understand what the image or text is about. Source: MRCT.

Medical 52

Medical Datasets Machine Learning Hospitality 52

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. These forecasts can then be utilized to resolve issues and spot development prospects. Business Analytics vs. Data Analysis .

Data Mining 40

Data Mining Business Analyst Deep Learning Algorithm 40

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

Knowledge Hut

JUNE 26, 2023

Using big data, we are able to transform unstructured data, such as customer reviews, into actionable insights, which enables businesses to better understand how and why customers prefer their products or services and to make improvements to their operations as quickly as is practically possible.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

ProjectPro

JULY 2, 2021

This task is achieved by designing algorithms that can extract meaning from large datasets in audio or text format by applying machine learning algorithms. Spelling/Grammar Checking Apps: The mobile applications and websites that offer users correct grammar mistakes in the entered text rely on NLP algorithms.

Algorithm 40

Algorithm Machine Learning Recruitment Banking 40

Knowledge Hut

MAY 23, 2024

This tool can work in close tandem with other products like Search Console, Google Ads, and Data Studio, which makes it a widespread option for anyone using leveraging different Google products. Through Google Analytics, data scientists and marketing leaders can make better marketing decisions. Multipurpose Data science Tools 4.

Data Science 52

Data Science MongoDB Programming Language Unstructured Data 52

AltexSoft

MAY 27, 2021

The documents often come in semi-structured and unstructured data formats, which makes them difficult to process quickly and accurately. Machine learning is a field of knowledge that focuses on creating algorithms and training models on data so that they can process new data inputs and make decisions by themselves.

Technology 64

Technology Process Insurance Medical 64

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. It was open-sourced in 2010 under a BSD license.

Scala 98

Scala Hadoop Healthcare Big Data 98

ProjectPro

JULY 3, 2015

SAP intends to develop a deeper integration with Apache Hadoop by using Apache Spark as the data filtering mechanism.Apache Spark can be used as in-memory analysis and data streaming platform (intelligent processing engine) for speeded up data access in Hadoop. Table of Contents How SAP Hadoop work together?

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40

ProjectPro

NOVEMBER 14, 2015

Data Integration 3.Scalability Specialized Data Analytics 7.Streaming Hadoop can be used to carry out data processing using either the traditional (map/reduce) or Spark-based (providing an interactive platform to process queries in real-time) approach. Scalability 4.Link Link Prediction 5.Cloud Cloud Hosting 6.Specialized

Hadoop 52

Hadoop Project Big Data Healthcare 52

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

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