IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? What is machine learning?

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

Analytics Vidhya

SEPTEMBER 13, 2021

This article was published as a part of the Data Science Blogathon Introduction Let’s look at a practical application of the supervised NLP fastText model for detecting sarcasm in news headlines. About 80% of all information is unstructured, and text is one of the most common types of unstructured data.

Unstructured Data 289

Unstructured Data Data Science Publishing Modeling 289

Analytics Vidhya

AUGUST 31, 2022

This article was published as a part of the Data Science Blogathon. Introduction A data lake is a central data repository that allows us to store all of our structured and unstructured data on a large scale.

Data Lake 268

Data Lake Unstructured Data Big Data Dashboards 268

Analytics Vidhya

SEPTEMBER 16, 2021

This article was published as a part of the Data Science Blogathon Introduction Analyzing texts is far more complicated than analyzing typical tabulated data (e.g. retail data) because texts fall under unstructured data. Different people express themselves quite differently when it comes to […].

Unstructured Data 267

Unstructured Data IT Data Science Publishing 267

Analytics Vidhya

MAY 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction Text Mining is also known as Text Data Mining or Text Analytics or is an artificial intelligence (AI) technology that uses natural language processing (NLP) to extract essential data from standard language text.

Unstructured Data 268

Unstructured Data Data mining Data Science Publishing 268

CIO Business Intelligence

DECEMBER 19, 2023

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. Luckily, many are expanding budgets to do so. “94%

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

Analytics Vidhya

JULY 12, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction to NLP: After I got acquainted with Machine learning concepts, The post A simple start with Natural Language Processing! appeared first on Analytics Vidhya.

Machine Learning 315

Machine Learning Data Science Publishing Analytics 315

Analytics Vidhya

JUNE 14, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon In any Machine learning task, cleaning or preprocessing the data is. The post Must Known Techniques for text preprocessing in NLP appeared first on Analytics Vidhya.

Machine Learning 304

Machine Learning Data Science Publishing Analytics 304

Analytics Vidhya

AUGUST 26, 2021

This article was published as a part of the Data Science Blogathon “You can have data without information but you cannot have information without data” – Daniel Keys Moran Introduction If you are here then you might be already interested in Machine Learning or Deep Learning so I need not explain what it is?

Modeling 296

Modeling Deep Learning Machine Learning Data Science 296

Analytics Vidhya

AUGUST 26, 2021

This article was published as a part of the Data Science Blogathon The intersection of medicine and data science has always been relevant; perhaps the most obvious example is the implementation of neural networks in deep learning. Nanotechnology, stem cells, […].

Deep Learning 284

Deep Learning Machine Learning Data Science Publishing 284

CIO Business Intelligence

AUGUST 11, 2023

How natural language processing works NLP leverages machine learning (ML) algorithms trained on unstructured data, typically text, to analyze how elements of human language are structured together to impart meaning. hours of on-demand video, two articles, and three downloadable resources. It consists of 11.5

Unstructured Data 142

Unstructured Data Modeling Machine Learning Data mining 142

Analytics Vidhya

AUGUST 28, 2021

This article was published as a part of the Data Science Blogathon Introduction The realities of the modern world are such that the analyst increasingly has to resort to the help of the latest machine learning algorithms to identify certain deviations in the operation of the system under study.

Machine Learning 261

Machine Learning Data Science Publishing Analytics 261

Smart Data Collective

AUGUST 28, 2021

Data lakes and data warehouses are probably the two most widely used structures for storing data. In this article, we will explore both, unfold their key differences and discuss their usage in the context of an organization. Data Warehouses and Data Lakes in a Nutshell. A Final Word.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Structured Data 140

Smart Data Collective

OCTOBER 27, 2021

The application presents a massive volume of unstructured data through a graphical or programming interface using the analytical abilities of business intelligence technology to provide instant insight. Interactive analytics applications present vast volumes of unstructured data at scale to provide instant insights.

Interactive 111

Interactive Unstructured Data Analytics Data Warehouse 111

Smart Data Collective

MAY 1, 2022

Multiple emails, social media posts, blogs, articles, and other text forms are generated daily. This will eventually lead you to situations where you know that valuable data is inside these documents, but you cannot extract them. . Moreover, the data collected is not free from error or biases if humans handle it.

Cost-Benefit 114

Cost-Benefit Unstructured Data Machine Learning Marketing 114

IBM Big Data Hub

OCTOBER 12, 2022

Every football season, millions of articles, blog posts, podcasts and videos are produced by the media, offering expert analysis on everything from player performance to injury reports. To identify and distill the insights locked inside this sea of “unstructured” data, ESPN collaborated with IBM to teach Watson the language of football.

Unstructured Data 87

Unstructured Data Consulting Statistics Data-driven 87

Cloudera

DECEMBER 11, 2020

They have traditionally been slower-moving to adopt new structured and unstructured data inputs as regulatory considerations are always top of mind. Combining these forms of structured and unstructured data in the cloud can unlock new insights, both in isolation and in combination with each other.

Insurance 91

Insurance Digital Transformation Unstructured Data Machine Learning 91

Analytics Vidhya

JULY 14, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: Source: [link] Language is very important when we want to. The post Understanding Natural Language Processing -A Beginner’s Guide appeared first on Analytics Vidhya.

Data Science 400

Data Science Publishing Analytics Unstructured Data 400

Analytics Vidhya

JUNE 30, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon How amazing it is to talk to someone by asking and. The post Build a simple Chatbot using NLTK Library in Python appeared first on Analytics Vidhya.

Data Science 358

Data Science Publishing Analytics IT 358

Analytics Vidhya

OCTOBER 8, 2020

This article was published as a part of the Data Science Blogathon. Introduction Fastai is a popular open-source library used for learning and practicing. The post Develop and Deploy an Image Classifier App Using Fastai appeared first on Analytics Vidhya.

Data Science 376

Data Science Publishing Analytics Unstructured Data 376

Analytics Vidhya

OCTOBER 7, 2020

This article was published as a part of the Data Science Blogathon. Introduction The article covers the use of Generative Adversarial Networks (GAN), an. The post Boost Model Accuracy of Imbalanced COVID-19 Mortality Prediction Using GAN-based Oversampling Technique appeared first on Analytics Vidhya.

Modeling 296

Modeling Data Science Publishing Analytics 296

Analytics Vidhya

JULY 15, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction A technology that makes the interaction between humans and machines. The post Let’s Understand How does a chatbot work ? appeared first on Analytics Vidhya.

Interactive 306

Interactive Data Science Publishing Technology 306

Analytics Vidhya

FEBRUARY 13, 2020

Overview This article dives into the key question – is class sensitivity in a classification problem model-dependent? The authors analyze four popular deep learning. Analyzing 4 Popular Deep Learning Architectures appeared first on Analytics Vidhya. The post Is Class Sensitivity Model Dependent?

Deep Learning 351

Deep Learning Modeling Analytics Unstructured Data 351

Smart Data Collective

SEPTEMBER 26, 2019

In this article, we are going to look at how software development can leverage on Big Data. We will also briefly have a sneak preview of the connection between AI and Big Data. Unstructured. Unstructured data lacks a specific format or structure. What is Software Development? Semi-structured.

Big Data 79

Big Data Software Unstructured Data Data Integration 79

Analytics Vidhya

JUNE 25, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Natural Language Processing (NLP) is a branch of Data Science. The post Text Preprocessing in NLP with Python codes appeared first on Analytics Vidhya.

Data Science 271

Data Science Publishing Analytics Unstructured Data 271

FineReport

JULY 28, 2021

If you are curious about the difference and similarities between them, this article will unveil the mystery of business intelligence vs. data science vs. data analytics. Definition: BI vs Data Science vs Data Analytics. What is Data Science? Photo by Chris Ried on Unsplash. What is Business Intelligence?

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

Ontotext

MARCH 18, 2020

According to an article in Harvard Business Review , cross-industry studies show that, on average, big enterprises actively use less than half of their structured data and sometimes about 1% of their unstructured data. The third challenge is how to combine data management with analytics.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

Analytics Vidhya

JUNE 27, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Let’s say you have a client who has a publishing. The post Topic Modeling and Latent Dirichlet Allocation(LDA) using Gensim and Sklearn : Part 1 appeared first on Analytics Vidhya.

Modeling 228

Modeling Publishing Data Science Analytics 228

Smart Data Collective

OCTOBER 3, 2019

A compilation of research from the G2 Learning Hub Shows the number of businesses relying on big data is rising. They cited one study showing that 40% of businesses need to use unstructured data on a nearly daily basis. Big Data Helps Small Businesses Excel with Digital Marketing. Conclusion.

Data-driven 78

Data-driven Marketing Big Data Machine Learning 78

Smarten

JUNE 10, 2022

Cloud and Mobile Access to make business intelligence, data models and data sources accessible from anywhere. As you review the list of predictions above, note that traditional and modern BI tools and Augmented Analytics with Natural Language Processing (NLP) and machine learning seems destined to co-exist for the foreseeable future.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

Data Insight

OCTOBER 27, 2021

At Data Insight, we have a wide definition for AI: any process with automated decisioning. That is, any decision making that does not rely on a human, which also includes machine learning (machine learning is a branch of AI that focuses on the use of data and algorithms to imitate the way humans learn, gradually improving its accuracy).

Machine Learning 52

Machine Learning Insurance Cost-Benefit Unstructured Data 52

Analytics Vidhya

MAY 1, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Natural language processing is the processing of languages used. The post Topic Modelling in Natural Language Processing appeared first on Analytics Vidhya.

Modeling 193

Modeling Data Science Publishing Analytics 193

Ontotext

DECEMBER 16, 2020

Next up, we have this post discussing why the knowledge graph model helps large enterprises overcome the challenge of actively using most of their structured and unstructured data by streamlining their enterprise knowledge management processes and practices. Return of the Jedi: Ontotext Platform Metamorphosis.

Metadata 52

Metadata Unstructured Data Visualization Enterprise 52

Smart Data Collective

JUNE 7, 2019

This is where real-time stream processing enters the picture, and it may probably change everything you know about big data. Read this article as we’ll tackle what big data and stream processing are. We’ll also deal with how big data stream processing can help new emerging markets in the world. What is Big Data?

Big Data 80

Big Data Marketing Cost-Benefit Unstructured Data 80

IBM Big Data Hub

JULY 6, 2023

To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other? Machine learning is a subset of AI.

Deep Learning 62

Deep Learning Machine Learning Unstructured Data Modeling 62

Smart Data Collective

JUNE 3, 2019

In a previous article I shared some of the challenges, benefits and trends of Big Data in the telecommunications industry. Big Data’s promise of value in the financial services industry is particularly differentiating. Big Data is Transforming the Financial Industry. An Industry Without Physical Products.

Big Data 73

Big Data Cost-Benefit Unstructured Data Risk 73

Sisense

MARCH 26, 2021

In the healthcare sector, Billing Savi has done a great job of monetizing data to drive revenue, partnering with customers in the sector to improve patient care and creating new opportunities for its customers. It’s already clear that the companies that best use their data will be the ones to disrupt their markets.

Analytics 98

Analytics Data-driven Dashboards Experimentation 98