Analytics Vidhya

JANUARY 30, 2024

Introduction Pandas is a powerful data manipulation library in Python that provides various functionalities for working with structured data. One of its critical features is its ability to handle and manipulate DataFrames, which are two-dimensional labelled data structures.

Structured Data 342

Structured Data Analytics IT 342

Analytics Vidhya

OCTOBER 12, 2022

Introduction Since the 1970s, relational database management systems have solved the problems of storing and maintaining large volumes of structured data. With the advent of big data, several organizations realized the benefits of big data processing and started choosing solutions like Hadoop to […].

Structured Data 353

Structured Data Big Data Data Science Publishing 353

CIO Business Intelligence

APRIL 24, 2025

It also enables other types of efficiency improvements, such as building good conditions for a data platform, which is a prerequisite for using new technology like AI. With the help of data such as saved ultrasound examinations of wheels, for instance, cracking is predicted so it can be corrected before it occurs.

IT 71

IT Consulting Optimization IoT 71

Analytics Vidhya

FEBRUARY 21, 2025

Microsoft’s OmniParser V2 is a cutting-edge AI screen parser that extracts structured data from GUIs by analyzing screenshots, enabling AI agents to interact with on-screen elements seamlessly. Perfect for building autonomous GUI agents, this tool is a game-changer for automation and workflow optimization.

Structured Data 135

Structured Data Interactive Optimization Analytics 135

Analytics Vidhya

FEBRUARY 4, 2021

ArticleVideos This article was published as a part of the Data Science Blogathon. INTRODUCTION Stock prediction is the act of forecasting the future value. The post Modelling stock price using financial ratios and its applications to make buy/sell/hold decisions appeared first on Analytics Vidhya.

Modeling 332

Modeling Forecasting IT Data Science 332

CIO Business Intelligence

NOVEMBER 27, 2024

But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects. And while most executives generally trust their data, they also say less than two thirds of it is usable. At worst, it can go in and remove signal from your data, and actually be at cross purposes with what you need.”

Enterprise 141

Enterprise Data Quality Structured Data Modeling 141

Analytics Vidhya

APRIL 15, 2024

Introduction Mastering Graph Neural Networks is an important tool for processing and learning from graph-structured data. This creative method has transformed a number of fields, including drug development, recommendation systems, social network analysis, and more.

Structured Data 317

Structured Data Analytics IT Machine Learning 317

Analytics Vidhya

JANUARY 19, 2024

Introduction Creating a Pandas DataFrame is a fundamental task in data analysis and manipulation. It allows us to organize and work with structured data efficiently. In this article, we will explore how to create a Pandas DataFrame from lists, discussing the reasons behind it and providing a step-by-step guide.

Structured Data 306

Structured Data Analytics IT 306

Analytics Vidhya

MAY 19, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Apache HBase With the constant increment of structured data, it is getting difficult to efficiently store and process the petabytes of data. To provide a massive amount […].

Structured Data 306

Structured Data Big Data Data Science Publishing 306

David Menninger's Analyst Perspectives

SEPTEMBER 23, 2021

Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions.

Key Performance Indicator 305

Key Performance Indicator Optimization Analytics Machine Learning 305

Analytics Vidhya

MAY 13, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction This article would cover Maximal- Margin Classifier, Support Vector. The post SVM: What makes it superior to the Maximal-Margin and Support Vector Classifiers? appeared first on Analytics Vidhya.

IT 290

IT Data Science Publishing Analytics 290

CIO Business Intelligence

FEBRUARY 6, 2025

From automating tedious tasks to unlocking insights from unstructured data, the potential seems limitless. LLMs offer compelling capabilities in natural language processing, automation and complex data interpretation But lets get real. Weve all seen the demos of ChatGPT, Google Gemini and Microsoft Copilot. Theyre impressive, no doubt.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

Analytics Vidhya

NOVEMBER 8, 2020

This article was published as a part of the Data Science Blogathon. Introduction Scala is difficult to learn, true, but it’s worth the hard. The post Writing a CSV File with Scala and Using it to Create a Machine Learning Model appeared first on Analytics Vidhya.

Machine Learning 286

Machine Learning Modeling IT Data Science 286

Analytics Vidhya

AUGUST 17, 2023

Introduction Pandas is more than just a name – it’s short for “panel data.” Use the Data formats with pandas in economics and statistics. It refers to structured data sets that hold observations across multiple periods for different entities or subjects. ” Now, what exactly does that mean?

Statistics 269

Statistics Structured Data Analytics IT 269

Analytics Vidhya

SEPTEMBER 18, 2022

Introduction Apache SQOOP is a tool designed to aid in the large-scale export and import of data into HDFS from structured data repositories. Relational databases, enterprise data warehouses, and NoSQL systems are all examples of data storage. It is a data migration tool […].

Data Warehouse 271

Data Warehouse Structured Data Data Science Publishing 271

CIO Business Intelligence

NOVEMBER 22, 2024

The road ahead for IT leaders in turning the promise of generative AI into business value remains steep and daunting, but the key components of the gen AI roadmap — data, platform, and skills — are evolving and becoming better defined. But that’s only structured data, she emphasized. Give a better experience,” she said.

Unstructured Data 136

Unstructured Data Testing Modeling Enterprise 136

David Menninger's Analyst Perspectives

SEPTEMBER 23, 2021

Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions.

Machine Learning 235

Machine Learning Key Performance Indicator Optimization Analytics 235

CIO Business Intelligence

APRIL 24, 2025

This imaginary super application sounds convenient , but it would require full access to all company data and tools, from the most mundane to the most sensitive. This requires standardizing and structuring the development of these applications. The short answer is no. How many such AI agents might a large company need?

Enterprise 125

Enterprise Sales Cost-Benefit B2B 125

KDnuggets

JULY 11, 2023

The article highlights various use cases of synthetic data, including generating confidential data, rebalancing imbalanced data, and imputing missing data points. It also provides information on popular synthetic data generation tools such as MOSTLY AI, SDV, and YData.

Structured Data 108

Structured Data IT Data Science 108

CIO Business Intelligence

APRIL 26, 2024

billion acquisition of data and analytics company Neustar in 2021, TransUnion has expanded into other services such as marketing, fraud detection and prevention, and robust analytical services. At the core of its strategy is the mountain of data that TransUnion has acquired — along with more than 25 companies — over decades.

Modeling 114

Modeling IT Machine Learning Data Governance 114

CIO Business Intelligence

MAY 21, 2024

We were using LLMs for chat support for administrators and employees, but when you get into vector data, and large graphical structures with a couple of hundred million rows of inter-related data and you want to optimize towards a predictive model for the future, you can’t get anywhere with LLMs,” says MakeShift CTO Danny McGuinness.

IT 131

IT Cost-Benefit Experimentation Forecasting 131

CIO Business Intelligence

MAY 10, 2024

Data from the Dice 2024 Tech Salary Report shows that, for certain IT skills, organizations are willing to pay more to hire experts than IT pros with strong competence. Data from the Dice 2024 Tech Salary Report shows that, for certain IT skills, organizations are willing to pay more to hire experts than IT pros with strong competence.

IT 130

IT Unstructured Data Software Reporting 130

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 112

IT Data Architecture Unstructured Data Big Data 112

Smart Data Collective

AUGUST 28, 2021

Data Warehouses and Data Lakes in a Nutshell. A data warehouse is used as a central storage space for large amounts of structured data coming from various sources. On the other hand, data lakes are flexible storages used to store unstructured, semi-structured, or structured raw data.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Structured Data 140

AWS Big Data

DECEMBER 17, 2024

Amazon Redshift , launched in 2013, has undergone significant evolution since its inception, allowing customers to expand the horizons of data warehousing and SQL analytics. Industry-leading price-performance Amazon Redshift offers up to three times better price-performance than alternative cloud data warehouses.

Data Lake 98

Data Lake Data Warehouse Data-driven Optimization 98

Analytics Vidhya

JULY 21, 2022

Introduction Over the past few years, advancements in Deep Learning coupled with data availability have led to massive progress in dealing with Natural Language. Though it can seem quite diverse, NLP is restricted – when it comes to the ‘Natural Languages’ it can […].

Deep Learning 398

Deep Learning Data Science Publishing Analytics 398

CIO Business Intelligence

OCTOBER 2, 2024

And the other is retrieval augmented generation (RAG) models, where pieces of data from a larger source are vectorized to allow users to “talk” to the data. Hallucinations, for example, which are caused by bad data, take a lot of extra time and money to fix — and they turn users off from the tools.

Management 141

Management Data Governance Cost-Benefit Structured Data 141

CIO Business Intelligence

JUNE 23, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 97

IT Data Architecture Unstructured Data Big Data 97

CIO Business Intelligence

FEBRUARY 20, 2024

Manufacturers have long held a data-driven vision for the future of their industry. It’s one where near real-time data flows seamlessly between IT and operational technology (OT) systems. Legacy data management is holding back manufacturing transformation Until now, however, this vision has remained out of reach.

Data Architecture 98

Data Architecture Unstructured Data Manufacturing IT 98

CIO Business Intelligence

JANUARY 9, 2025

This required dedicated infrastructure and ideally a full MLOps pipeline (for model training, deployment and monitoring) to manage data collection, training and model updates. It can be provided as structured JSON, which the system processes to display matching icons or graphics. Lets look at some specific examples.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

CIO Business Intelligence

MARCH 21, 2022

Data scientists are becoming increasingly important in business, as organizations rely more heavily on data analytics to drive decision-making and lean on automation and machine learning as core components of their IT strategies. Data scientist job description. Semi-structured data falls between the two.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

AWS Big Data

JANUARY 15, 2025

Their terminal operations rely heavily on seamless data flows and the management of vast volumes of data. Recently, EUROGATE has developed a digital twin for its container terminal Hamburg (CTH), generating millions of data points every second from Internet of Things (IoT)devices attached to its container handling equipment (CHE).

IoT 111

IoT Machine Learning Metadata Data-driven 111

AWS Big Data

NOVEMBER 26, 2024

This post was co-written with Dipankar Mazumdar, Staff Data Engineering Advocate with AWS Partner OneHouse. Data architecture has evolved significantly to handle growing data volumes and diverse workloads. In later pipeline stages, data is converted to Iceberg, to benefit from its read performance.

Metadata 105

Metadata Data Lake Snapshot Data Warehouse 105

Analytics Vidhya

AUGUST 5, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In neural networks we have lots of hyperparameters, it is. The post Hyperparameter Tuning Of Neural Networks using Keras Tuner appeared first on Analytics Vidhya.

Data Science 400

Data Science Publishing Analytics IT 400

Analytics Vidhya

AUGUST 24, 2021

This article was published as a part of the Data Science Blogathon Introduction Churn prediction is probably one of the most important applications of data science in the commercial sector. The post Churn Prediction- Commercial use of Data Science appeared first on Analytics Vidhya.

Data Science 361

Data Science Publishing Analytics IT 361

Analytics Vidhya

MARCH 12, 2021

ArticleVideo Book Introduction Every Machine Learning enthusiast has a dream of building/working on a cool project, isn’t it? Mere understandings of the theory aren’t. The post Language Detection Using Natural Language Processing appeared first on Analytics Vidhya.

Machine Learning 400

Machine Learning Analytics IT Structured Data 400

Smart Data Collective

SEPTEMBER 23, 2020

A data warehouse is a storage area for filtered, structured data that has been processed already for a particular use, while Data Lake is a massive pool of raw data and the aim is still unknown. Raw data that has not been cleared is known as unstructured data; this includes chat logs, pictures, and PDF files.

Data Lake 135

Data Lake Data Warehouse Unstructured Data Big Data 135