Data Mining, Data Visualization and Predictive Analytics

Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Smart Data Collective

NOVEMBER 18, 2020

You may not even know exactly which path you should pursue, since some seemingly similar fields in the data technology sector have surprising differences. We decided to cover some of the most important differences between Data Mining vs Data Science in order to finally understand which is which. What is Data Science?

Data Mining

Data Mining Data Mining Data Mining Data Science

How technology transforms public administration and investment management – Insights from Asatrian Sergei Tigranovich

Dataconomy

MAY 17, 2024

Given your extensive background in administration and management, how do you envision specific data science tools, such as predictive analytics, machine learning, and data visualization, and methodologies like data mining and big data analysis, could enhance public administration and investment management?

Predictive Analytics

Predictive Analytics Data Science Data Analysis Data Analysis

15 must-try open source BI software for enhanced data insights

Dataconomy

MAY 10, 2023

Open-source business intelligence (OSBI) is commonly defined as useful business data that is not traded using traditional software licensing agreements. This is one alternative for businesses that want to aggregate more data from data-mining processes without buying fee-based products.

Business Intelligence

Business Intelligence Business Intelligence Power BI Data Analysis

Webinars

How to Achieve High-Accuracy Results When Using LLMs

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Data science vs data analytics: Unpacking the differences

IBM Journey to AI blog

SEPTEMBER 19, 2023

The data science lifecycle Data science is iterative, meaning data scientists form hypotheses and experiment to see if a desired outcome can be achieved using available data. For example, retailers can predict which stores are most likely to sell out of a particular kind of product.

Data Science

Data Science Analytics Analytics Data Scientist

How to tackle lack of data: an overview on transfer learning

Data Science Blog

FEBRUARY 23, 2023

If you can analyze data with statistical knowledge or unsupervised machine learning, just extracting data without labeling would be enough. And sometimes ad hoc analysis with simple data visualization will help your decision makings.

Supervised Learning

Supervised Learning Machine Learning Machine Learning Deep Learning

Top 10 Machine Learning (ML) Tools for Developers in 2023

Towards AI

JUNE 27, 2023

Offering features like TensorBoard for data visualization and TensorFlow Extended (TFX) for implementing production-ready ML pipelines, TensorFlow stands out as a comprehensive solution for both beginners and seasoned professionals in the realm of machine learning.

Machine Learning

Machine Learning Machine Learning ML ML

What Are Business Intelligence Tools

Pickl AI

JANUARY 15, 2025

Business Intelligence tools encompass a variety of software applications designed to collect, process, analyse, and present business data. These tools enable organizations to convert raw data into actionable insights through various means such as reporting, analytics, data visualization, and performance management.

Business Intelligence

Business Intelligence Business Intelligence Power BI Data Visualization

What is Business Analytics? Types & Examples in Real World

Pickl AI

JUNE 25, 2023

Before delving deeper into the functionalities of business analytics, it is important to understand what business analytics is. The latter is the practice of using statistical techniques, data mining, predictive modelling, and Machine Learning algorithms to analyze past and present data.

Analytics

Analytics Analytics Predictive Analytics Machine Learning

Introducing the Topic Tracks for ODSC West 2023?—?Highlighting Gen AI and LLMs

ODSC - Open Data Science

AUGUST 21, 2023

Data Visualization and Data Analysis Join some of the world’s most creative minds that are changing the way we visualize, understand, and interact with data. You’ll also learn the art of storytelling, information communication, and data visualization using the latest open-source tools and techniques.

Data Science

Data Science Machine Learning Machine Learning Deep Learning

Data science vs. machine learning: What’s the difference?

IBM Journey to AI blog

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining.

Machine Learning

Machine Learning Machine Learning Data Science Big Data

Introducing the Topic Tracks for ODSC East 2024?—?Highlighting Gen AI, LLMs, and Responsible AI

ODSC - Open Data Science

MARCH 11, 2024

Data Visualization and Data Analysis Join some of the world’s most creative minds that are changing the way we visualize, understand, and interact with data. You’ll also learn the art of storytelling, information communication, and data visualization using the latest open-source tools and techniques.

Data Science

Data Science Deep Learning Deep Learning Machine Learning

Best Machine Learning Frameworks for ML Experts in 2023

Pickl AI

JANUARY 23, 2023

TensorBoard, a large package that is typically overlooked, is included within TensorFlow and is used for data visualization. When working with shareholders, TensorBoard makes it easier to visually represent the data. It is one of the most commonly used frameworks for data mining and analysis in the current scenario.

Machine Learning

Machine Learning Machine Learning ML ML

Data Mesh Architecture on Cloud for BI, Data Science and Process Mining

Data Science Blog

JULY 23, 2023

Companies use Business Intelligence (BI), Data Science , and Process Mining to leverage data for better decision-making, improve operational efficiency, and gain a competitive edge. Process Mining offers process transparency, compliance insights, and process optimization.

Data Science

Data Science Azure Power BI Business Intelligence

Welcome To The Digital Age: BI Meets Social Media

Smart Data Collective

OCTOBER 25, 2023

Well, it is – to the ones that are 100% familiar with it – and it involves the use of various data sources, including internal data from company databases, as well as external data, to generate insights, identify trends, and support strategic planning. In the 1990s, OLAP tools allowed multidimensional data analysis.

Business Intelligence

Business Intelligence Business Intelligence Analytics Analytics

Personalization engine

Dataconomy

MARCH 10, 2025

Data science applications Data science contributes to personalization engines by providing the methods needed to parse large datasets, extract valuable insights, and inform personalized strategies. Data Mining: Methods that extract patterns from large datasets to inform personalization strategies.

Predictive Analytics

Predictive Analytics Data Science Natural Language Processing Machine Learning

Data Science Current

Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

How technology transforms public administration and investment management – Insights from Asatrian Sergei Tigranovich

Webinars

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15 must-try open source BI software for enhanced data insights

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Data science vs data analytics: Unpacking the differences

How to tackle lack of data: an overview on transfer learning

Top 10 Machine Learning (ML) Tools for Developers in 2023

What Are Business Intelligence Tools

What is Business Analytics? Types & Examples in Real World

Introducing the Topic Tracks for ODSC West 2023?—?Highlighting Gen AI and LLMs

Data science vs. machine learning: What’s the difference?

Introducing the Topic Tracks for ODSC East 2024?—?Highlighting Gen AI, LLMs, and Responsible AI

Best Machine Learning Frameworks for ML Experts in 2023

Data Mesh Architecture on Cloud for BI, Data Science and Process Mining

Welcome To The Digital Age: BI Meets Social Media

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