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 76

Unstructured Data Finance SQL Media 76

Knowledge Hut

JANUARY 11, 2024

Data science is the field of study that deals with a huge volume of data using modern technologically driven tools and techniques to find some sort of pattern and derive meaningful information out of it that eventually helps in business and financial decisions. Under this certification, you cover Python/R, statistics, and tableau.

Finance 93

Finance Data Science Programming Language Machine Learning 93

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

Data Engineering Podcast

FEBRUARY 24, 2019

To help other people find the show please leave a review on iTunes , or Google Play Music , tell your friends and co-workers, and share it on social media. What is your litmus test for whether to use deep learning vs explicit ML algorithms or a basic decision tree? What are your thoughts on that layer of the build vs buy decision?

Deep Learning 100

Deep Learning Data Engineering Data Engineer Engineering 100

Edureka

AUGUST 2, 2023

Organisations and businesses are flooded with enormous amounts of data in the digital era. This information is gathered from a variety of sources, including sensor readings, social media engagements, and client transactions. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Knowledge Hut

DECEMBER 26, 2023

Importance of Big Data Companies Big Data is intricate and can be challenging to access and manage because data often arrives quickly in ever-increasing amounts. Both structured and unstructured data may be present in this data. Microsoft's Big Data strategy is broad and expanding rapidly.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 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. Input Data Structured data from various sources, such as databases, spreadsheets, and ERP systems. 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. Rabobank runs sophisticated machine learning algorithms and financial models to help customers manage their financial obligations, including loan repayments. .

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. Theaters, channels, etc.,

Unstructured Data 40

Unstructured Data Medical Data Science Business Intelligence 40

Knowledge Hut

MAY 31, 2023

Artificial intelligence has had a profound impact on our daily lives, and we employ AI whenever you look through social media, open Spotify, or conduct a fast Google search. Currently, most students and working professionals prefer a Data Science Course to make a smooth transition in the data science field.

Project 96

Project Healthcare Deep Learning Transportation 96

Knowledge Hut

DECEMBER 26, 2023

This mainly happened because data that is collected in recent times is vast and the source of collection of such data is varied, for example, data collected from text files, financial documents, multimedia data, sensors, etc. This is one of the major reasons behind the popularity of data science.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Edureka

JANUARY 18, 2024

For those looking to start learning in 2024, here is a data science roadmap to follow. What is Data Science? Data science is the study of data to extract knowledge and insights from structured and unstructured data using scientific methods, processes, and algorithms.

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

Knowledge Hut

OCTOBER 26, 2023

This AWS project example is highly relevant nowadays when social media is widely using content recommendation systems to present things of our interest. It comes with in-built ML algorithms that do not require label data and leverages semantic search to simplify tasks. Source code: GitHub 5.

AWS 52

AWS Coding Project Cloud Computing 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. CLOUD-ENABLED EVOLUTION .

Insurance 71

Insurance Unstructured Data Hospitality Media 71

Knowledge Hut

APRIL 25, 2024

Variety: Unstructured data, semi-structured data, and raw data are only a few examples of the variety of data kinds that exist. It is effective to use a recommendation engine that makes use of data filtering technologies that gather data and then filter it using algorithms.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Knowledge Hut

JUNE 26, 2023

For this study, we wanted to create a "big data pipeline for user sentiment analysis on the US stock market." In a nutshell, this initiative uses social media data to provide real-time market sentiment predictions. Source Code: Smart Cities Using Big Data 3. Source Code: Tourist Behavior Analysis 4.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Edureka

JULY 18, 2023

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. Transaction Monitoring: AI systems examine enormous volumes of transactional data to spot patterns and anomalies that could be signs of fraud.

Banking 40

Banking Algorithm Media Machine Learning 40

Knowledge Hut

JULY 26, 2023

Facebook, on the other hand, as a social media giant, has created its own database solutions to handle large amounts of user data. 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.

Database 52

Database NoSQL Telecommunication MongoDB 52

Knowledge Hut

DECEMBER 27, 2023

Many business owners and professionals are interested in harnessing the power locked in Big Data using Hadoop often pursue Big Data and Hadoop Training. What is Big Data? Big data is often denoted as three V’s: Volume, Variety and Velocity. Big data is often denoted as three V’s: Volume, Variety and Velocity.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

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

Knowledge Hut

NOVEMBER 19, 2023

Machine learning for business is AI-based algorithms that can perform specific tasks without the need for explicit programming. They can be trained to identify data patterns and, based on them, make predictions when a new data set arrives. Data Analysis Nowadays, businesses usually handle large amounts of data on a daily basis.

Machine Learning 52

Machine Learning Deep Learning BI Datasets 52

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. Recommendation engines are popular in media, entertainment, and shopping. This type of application is beneficial in searching, mobile application development, and social media apps.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

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

JUNE 23, 2023

The key advantage of adaptive analytics is that businesses can make choices based on real-time data with incredibly high accuracy What is Real-time Analytics? Real-time data analytics is quickly analyzing data to provide actionable insights for enterprises. Who Uses Real-time Data Analytics?

Data Analytics 52

Data Analytics IT Transportation Analytics Architecture 52

Knowledge Hut

JUNE 20, 2023

Examples Pull daily tweets from the data warehouse hive spreading in multiple clusters. Facial reorganization, social media optimization, etc. They transform unstructured data into scalable models for data science. Analyze trends and patterns Conduct in-depth data analysis, then present the findings.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Knowledge Hut

JULY 26, 2023

This velocity aspect is particularly relevant in applications such as social media analytics, financial trading, and sensor data processing. Variety: Variety represents the diverse range of data types and formats encountered in Big Data. Handling this variety of data requires flexible data storage and processing methods.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

ProjectPro

MAY 31, 2021

And even if you’re not very active on social media, I’m sure you now and then check your phone before leaving the house to see what the traffic is like on your route to know how long it could take you to reach your destination. Advanced data scientists can use supervised algorithms to predict future trends.

Big Data 52

Big Data Coding Project Hadoop 52

Knowledge Hut

MARCH 27, 2024

Big data tools are used to perform predictive modeling, statistical algorithms and even what-if analyses. Some important big data processing platforms are: Microsoft Azure. Why Is Big Data Analytics Important? Data can be processed for the application of big data analysis over the cloud and segregated using Xplenty.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

JULY 24, 2023

Continuous queries are designed to process and analyze data as it arrives. Therefore, they are often used in applications that require real-time monitoring or processing, such as financial trading, IoT devices, or social media sentiment analysis. Ad-hoc queries help perform exploratory analysis or troubleshooting.

SQL 52

SQL Database Process NoSQL 52

AltexSoft

AUGUST 29, 2023

Unlike traditional DWs, cloud data warehouses like Snowflake, BigQuery, and Redshift come pre-equipped with advanced features; learn more about the differences in our dedicated article. Unlike data warehouses, data lakes allow a schema-on-read approach, enabling greater flexibility in data storage.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 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

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.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

ProjectPro

MARCH 17, 2021

Machine learning makes use of a set of learning algorithms (supervised or unsupervised learning process) to analyze the data, interpret it, learn from it, and make the best possible business decisions based on the learnings. But how will the ML algorithm know which one is Apple and which one is Orange?

Deep Learning 52

Deep Learning Machine Learning Algorithm Datasets 52

Edureka

DECEMBER 21, 2023

Unlike some AI counterparts, Gemini thrives on structured and unstructured data, wielding knowledge from scientific articles to code repositories. It leverages advanced machine learning algorithms to understand context and generate relevant, original text. It’s your one-stop shop for attention-grabbing text.

Media 40

Media Education Accessible Accessibility 40

Knowledge Hut

APRIL 3, 2023

These include: A strong foundation in computer science, including knowledge of algorithms, data structures, and programming languages. Finally, the roadmap highlights the importance of understanding security concepts and practices to ensure the safety and integrity of data and systems.

Programming Language 52

Programming Language Computer Science Portfolio PostgreSQL 52

ProjectPro

JULY 27, 2021

Data Engineer Interview Questions on Big Data Any organization that relies on data must perform big data engineering to stand out from the crowd. But data collection, storage, and large-scale data processing are only the first steps in the complex process of big data analysis.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

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