Smart Data Collective

MARCH 23, 2020

Online shopping, gaming, web surfing – all of this data can be collected, and more importantly, analyzed. Most businesses prefer to rely on the insights gained from the big data analysis. The NewZoo predicts that by 2022 the consumers will have spent $196 billion on gaming, making it the mainstream of entertainment.

Big Data 129

Big Data Big Data Data Mining Data Mining 129

Smart Data Collective

OCTOBER 17, 2022

Moreover, it should be able to perform end-to-end integration, transformation, enriching, masking and delivery of fresh data sets. The end outcome should be clean and actionable data that can be used by end users. While we are at it, a few tools are leading in 2022. Data Pipeline Architecture Planning.

Data Pipeline 145

Data Pipeline Data Warehouse ETL Exploratory Data Analysis 145

Data Science Blog

NOVEMBER 15, 2023

The lower part of the iceberg is barely visible to the normal analyst on the tool interface, but is essential for implementation and success: this is the Event Log as the data basis for graph and data analysis in Process Mining. The creation of this data model requires the data connection to the source system (e.g.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

ODSC - Open Data Science

APRIL 3, 2023

We looked at over 25,000 job descriptions, and these are the data analytics platforms, tools, and skills that employers are looking for in 2023. Excel is the second most sought-after tool in our chart as you’ll see below as it’s still an industry standard for data management and analytics.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

PyImageSearch

JUNE 19, 2023

Each service uses unique techniques and algorithms to analyze user data and provide recommendations that keep us returning for more. By the end of the lesson, readers will have a solid grasp of the underlying principles that enable these applications to make suggestions based on data analysis. This is described in Table 1.

K-nearest Neighbors 57

K-nearest Neighbors Clustering Algorithm Deep Learning 57

IBM Journey to AI blog

AUGUST 11, 2023

Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. MLOps is the next evolution of data analysis and deep learning.

Data Science 68

Data Science Machine Learning Machine Learning ML 68

Dataconomy

SEPTEMBER 1, 2023

Heart disease stands as one of the foremost global causes of mortality today, presenting a critical challenge in clinical data analysis. Leveraging hybrid machine learning techniques, a field highly effective at processing vast healthcare data volumes is increasingly promising in effective heart disease prediction.

Decision Trees 195

Decision Trees Machine Learning Machine Learning Support Vector Machines 195

Heartbeat

FEBRUARY 29, 2024

Photo by Nathan Dumlao on Unsplash Introduction Web scraping automates the extraction of data from websites using programming or specialized tools. Required for tasks such as market research, data analysis, content aggregation, and competitive intelligence. APIs provide legal access to data. Let’s start.

Python 52

Python Deep Learning Deep Learning Data Quality 52