Data Science Dojo

JULY 12, 2023

Ability to perform complex queries using SQL: SQL is a powerful language that allows you to perform complex queries on your data. This can be useful for tasks such as reporting, analytics, and data mining.

SQL 195

SQL Database Big Data Big Data 195

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 139

Predictive Analytics Analytics Analytics Decision Trees 139

Data Science Dojo

JANUARY 16, 2023

Every individual analysis the data obtained via their experience to generate a final decision. Put more concretely, data analysis involves sifting through data, modeling it, and transforming it to yield information that guides strategic decision-making.

Data Analysis 195

Data Analysis Data Analysis Data Analyst Big Data 195

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 133

Data Science Exploratory Data Analysis Machine Learning Machine Learning 133

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. js and Tableau Data science, data analytics and IBM Practicing data science isn’t without its challenges.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Pickl AI

JANUARY 15, 2025

Data Visualization Tools These tools create visual representations of data, such as graphs and dashboards, making complex data sets easier to understand. Data Mining Tools Data mining tools analyse large datasets to discover hidden patterns or relationships within the data.

Business Intelligence 52

Business Intelligence Business Intelligence Power BI Data Visualization 52

Dataconomy

MARCH 24, 2023

BI involves using data mining, reporting, and querying techniques to identify key business metrics and KPIs that can help companies make informed decisions. A career path in BI can be a lucrative and rewarding choice for those with interest in data analysis and problem-solving. What is business intelligence?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

BI involves using data mining, reporting, and querying techniques to identify key business metrics and KPIs that can help companies make informed decisions. A career path in BI can be a lucrative and rewarding choice for those with interest in data analysis and problem-solving. What is business intelligence?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

IBM Journey to AI blog

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Pickl AI

MAY 30, 2023

The short-term course will allow you to learn about: Neural networks, data mining, pattern recognition, deep learning and it application, etc. Data Mining Course with Certificate Data Mining is one of the most effective and highly demanding certificate courses that aspirants are looking for.

Data Science 52

Data Science Data Mining Data Mining Data Mining 52

Pickl AI

AUGUST 27, 2024

Python’s flexibility extends to its ability to handle a wide range of tasks, from quick scripting to complex data modelling. This versatility makes Python perfect for developers who want to script applications, websites, or perform data-intensive tasks.

Data Analysis 52

Data Analysis Data Analysis Python Data Analyst 52

Heartbeat

MARCH 8, 2023

Because of the package’s emphasis on tidy data, it is both a user-friendly option for those new to text analysis, and a valuable tool for experienced practitioners. You can learn more about the usage of the package here install.packages("tidytext") Application areas for topic modeling are numerous.

Machine Learning 52

Machine Learning Machine Learning Algorithm Data Mining 52

Pickl AI

MAY 7, 2024

Perform data transformations, such as merging, filtering, and aggregating data Data Analysis and Modeling Analyze data using statistical techniques, data mining, and predictive modeling.

Data Analyst 52

Data Analyst Tableau Data Science Data Analysis 52

Pickl AI

JULY 31, 2023

Here’s how Eager Learning algorithms typically work: Data Training During the training phase, Eager Learning algorithms are presented with a labeled dataset. The algorithm analyzes the data, and based on the features and corresponding labels, it learns to identify underlying patterns, relationships, and rules that govern the data.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Algorithm 52

DagsHub

APRIL 21, 2024

Similar to TensorFlow, PyTorch is also an open-source tool that allows you to develop deep learning models for free. Scikit-learn Scikit-learn is a machine learning library in Python that is majorly used for data mining and data analysis.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

Dataconomy

SEPTEMBER 1, 2023

Several data mining and neural network techniques have been employed to gauge the severity of heart disease but the prediction of it is a different subject. Combining domain expertise with advanced computational methods can lead to breakthroughs in hybrid models’ accuracy and clinical applicability for heart disease prediction.

Decision Trees 195

Decision Trees Machine Learning Machine Learning Support Vector Machines 195

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. Each applications has its own data model.

Data Science 246

Data Science Azure Power BI Business Intelligence 246

Pickl AI

JUNE 11, 2024

This structured organization facilitates insightful analysis, allowing you to drill down into specific details and uncover hidden relationships within your data. Data Mining and Reporting Data warehouses are not passive repositories. Embrace a well-structured data model that aligns with your business needs.

Data Warehouse 52

Data Warehouse ETL Data Mining Data Mining 52

IBM Journey to AI blog

APRIL 10, 2023

In addition to this, network data is generated all the time and everybody has it – indeed, each CSP has an abundant unlimited data source that never stops. Therefore, data mining is the business of every CSP nowadays. The first step towards the monetization of your Network Data is to create a Value Tree.

Data Mining 63

Data Mining Data Mining Data Mining Analytics 63

Dataconomy

JANUARY 13, 2025

And well see how it plays out in the technology, in the data-mining and for investors. #1 Good data is the main factor in AI prediction. Overfitting: Overfitting is when the AI learns the training data too fast, with noise and outliers. That will make your data do bad on new unvisible data.

AI 103

AI AI Algorithm Artificial Intelligence 103