Smart Data Collective

JUNE 24, 2023

Fortunately, new advances in machine learning technology can help mitigate many of these risks. Therefore, you will want to make sure that your cryptocurrency wallet or service is protected by machine learning technology. In 2018, researchers used data mining and machine learning to detect Ponzi schemes in Ethereum.

Machine Learning 78

Machine Learning Broadcasting Risk Data mining 78

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 59

Machine Learning Data Science Statistics Deep Learning 59

TDAN

AUGUST 17, 2021

If you are planning on using predictive algorithms, such as machine learning or data mining, in your business, then you should be aware that the amount of data collected can grow exponentially over time.

Predictive Modeling 115

Predictive Modeling Modeling Data mining Big Data 115

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. Transformer models take applications such as language translation and chatbots to a new level.

Unstructured Data 140

Unstructured Data Modeling Machine Learning Data mining 140

Smart Data Collective

DECEMBER 19, 2021

The rise of machine learning and the use of Artificial Intelligence gradually increases the requirement of data processing. That’s because the machine learning projects go through and process a lot of data, and that data should come in the specified format to make it easier for the AI to catch and process.

Optimization 135

Optimization Machine Learning Data mining Statistics 135

Rocket-Powered Data Science

JULY 7, 2019

AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Examples: (1-3) All those applications shown in the definition of Machine Learning. (4)

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Rocket-Powered Data Science

DECEMBER 15, 2018

This wisdom applies not only to life but to machine learning also. Specifically, the availability and application of labeled data (things past) for the labeling of previously unseen data (things future) is fundamental to supervised machine learning. That sounds so… so… random!

Machine Learning 171

Machine Learning Optimization Metrics Modeling 171

Decision Management Solutions

FEBRUARY 19, 2020

Digital decisioning combines the rule of approval with machine learning and AI for fraud detection. As many articles point out, just relying on AI can get you in trouble. Traditional requirements approaches don’t work well for decisioning systems so you need to build a decision model to get this understanding.

Data mining 64

Data mining Machine Learning Risk Modeling 64

Smart Data Collective

JUNE 4, 2021

Since the field covers such a vast array of services, data scientists can find a ton of great opportunities in their field. Data scientists use algorithms for creating data models. These data models predict outcomes of new data. Data science is one of the highest-paid jobs of the 21st century.

Data Science 105

Data Science Statistics Deep Learning Machine Learning 105

FineReport

JUNE 11, 2021

And do you know what the key to unlocking value from data is? This article will discuss the definition of business intelligence and analytics and the difference between them. By contrast, business analytics may use historical data to predict what may happen in the future or how the organization will move forward. Free Download.

Business Intelligence 98

Business Intelligence Analytics Dashboards Statistics 98

FineReport

MARCH 24, 2024

Given the critical role they play, employers actively seek data analysts to enhance efficiency and stimulate growth. This article explores the data analyst job description, covering essential skills, tools, education, certifications, and experience. AWS S3: Offers cloud storage for storing and retrieving large datasets.

Statistics 52

Statistics Data mining Visualization Reporting 52

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. On the other hand, data science is typically more extensive and complex.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

Ontotext

APRIL 15, 2020

The initial dataset consisted of 13,202 journal articles relevant to novel coronavirus research. The FHIR RDF version of CORD-19 plans to use the PICO ontology for modeling the annotations and to store them back in GraphDB. It contains more than 51,000 scholarly articles and is available to the global research community.

Publishing 105

Publishing Metadata Data mining Technology 105

Sisense

APRIL 10, 2020

We’ll actually do this later in this article. These support a wide array of uses, such as data analysis, manipulation, visualizations, and machine learning (ML) modeling. Some standard Python libraries are Pandas, Numpy, Scikit-Learn, SciPy, and Matplotlib. Modeling in R and Python. R libraries.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

Smart Data Collective

MARCH 23, 2020

Big data is driving a number of changes in our lives. Forbes recently wrote an article about the impact of big data on the food and hospitality industry. Big data phenomenon has revolutionized almost every aspect of an average citizen’s life. However, other sectors are changing as well.

Big Data 103

Big Data Recreation/Entertainment Data mining Optimization 103

Alation

JULY 13, 2021

Yet increasing complexity of data makes the old “lift-and-shift” model not just unrealistic, but risky. Businesses with complex data environments need a migration method that takes that complexity into account. The Data Race to the Cloud. This recent cloud migration applies to all who use data. Fern Halper, Ph.D.

Strategy 52

Strategy Data mining Structured Data Data Governance 52

Octopai

APRIL 19, 2021

Donna Burbank is a Data Management Consultant and acts as the Managing Director at Global Data Strategy, Ltd. Her Twitter page is filled with interesting articles, webinars, reports, and current news surrounding data management. TDAN stands for The Data Administration Newsletter. Donna Burbank. IRM UK Connects.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

FineReport

JUNE 11, 2021

And do you know what the key to unlocking value from data is? This article will discuss the definition of business intelligence and analytics and the difference between them. By contrast, business analytics may use historical data to predict what may happen in the future or how the organization will move forward. Free Download.

Business Intelligence 52

Business Intelligence Analytics Dashboards Statistics 52

Sisense

AUGUST 19, 2020

Disrupting Markets is your window into how companies have digitally transformed their businesses, shaken up their industries, and even changed the world through the use of data and analytics. The use of big data analytics and cloud computing has spiked phenomenally during the last decade. Moving to the cloud, fueling transformation.

Big Data 52

Big Data Machine Learning Digital Transformation Marketing 52

Smart Data Collective

MARCH 23, 2022

The ADA is modeled after the Civil Rights Act of 1964 in that it ensures that people with mental or physical disabilities are not discriminated against in the workplace while purchasing goods and services and when participating in state and local government programs and services. Use a machine learning tool to automate compliance.

Cost-Benefit 102

Cost-Benefit Data mining Sales Testing 102

Smart Data Collective

MAY 8, 2022

Brands are closely working to solve this as they dive deep into the world of big data analytics. Well, don’t go anywhere because, in this article, we will show you how you can use big data analytics combined with AI to achieve the best performance possible. What is the relationship between big data analytics and AI?

Big Data 106

Big Data Data Analytics Analytics Cost-Benefit 106

Ontotext

JANUARY 10, 2020

And the techniques to be used are data mining techniques to identify patterns of investment opportunities within a custom dataset containing around 8 million companies and investors and 1.5 You can see the full article published in Springer (or in Google books ). million investment events. When the association is indirect.

Data mining 59

Data mining Machine Learning Data-driven Marketing 59

FineReport

DECEMBER 19, 2019

Professional data analysts must have a wealth of business knowledge in order to know from the data what has happened and what is about to happen. In addition, tools for data analysis and data mining are also important. Excel, Python, Power BI, Tableau, FineReport are frequently used by data analysts.

Knowledge Discovery 98

Knowledge Discovery Visualization Experimentation Reporting 98

Peter James Thomas

AUGUST 18, 2018

No this article has not escaped from my Maths & Science section , it is actually about data matters. The image at the start of this article is of an Ichthyosaur (top) and Dolphin. Even back then, these were used for activities such as Analytics , Dashboards , Statistical Modelling , Data Mining and Advanced Visualisation.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

datapine

MARCH 31, 2022

A data scientist has a similar role as the BI analyst, however, they do different things. While analysts focus on historical data to understand current business performance, scientists focus more on data modeling and prescriptive analysis. They can help a company forecast demand, or anticipate fraud.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

FineReport

APRIL 26, 2023

This has led to the emergence of the field of Big Data, which refers to the collection, processing, and analysis of vast amounts of data. With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth. Easy implementation.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Rocket-Powered Data Science

JULY 6, 2021

I provide below my perspective on what was interesting, innovative, and influential in my watch list of the Top 10 data innovation trends during 2020. 1) Automated Narrative Text Generation tools became incredibly good in 2020, being able to create scary good “deep fake” articles.

Data-driven 279

Data-driven Machine Learning IoT Deep Learning 279

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

datapine

MARCH 25, 2022

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. Your Chance: Want to extract the maximum potential out of your data?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Domino Data Lab

MAY 20, 2021

In this article we discuss why fitting models on imbalanced datasets is problematic, and how class imbalance is typically addressed. Machine Learning algorithms often need to handle highly-imbalanced datasets. A weighted nearest neighbor algorithm for learning with symbolic features. Machine Learning, 57–78.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

BizAcuity

MARCH 31, 2022

There have been so many articles published about AI and its applications, you can find millions of articles from broad concepts to deep technical literature on the internet. You must be tired of continuously hearing quotes like, ‘data is the new oil’ and what not. Hope the article helped. AI Services.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Domino Data Lab

AUGUST 1, 2021

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. The interest in interpretation of machine learning has been rapidly accelerating in the last decade.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

datapine

NOVEMBER 27, 2019

DQM consists of acquiring the data, implementing advanced data processes, distributing the data effectively and managing oversight data. We detailed the benefits and costs of good or bad quality data in our previous article on data quality management , where you can read the five important pillars to follow.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

FineReport

MARCH 31, 2024

Harnessing the power of advanced APIs, automation, and AI, these tools simplify data compilation, organization, and visualization, empowering users to extract actionable insights effortlessly. Best BI Tools for Data Analysts 3.1 Best BI Tools for Data Analysts 3.1

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

Jet Global

MAY 1, 2023

Users Want to Help Themselves Data mining is no longer confined to the research department. Today, every professional has the power to be a “data expert.” These licensing terms are critical: Perpetual license vs subscription: Subscription is a pay-as-you-go model that provides flexibility as you evaluate a vendor.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52