Top

Category: Data Science


Data Science

How Big Data Analytics & AI Combined can Boost Performance Immensely

May 9, 2022

Via: SmartData Collective

Big data, analytics, and AI all have a relationship with each other. For example, big data analytics leverages AI for enhanced data analysis. In contrast, AI needs a large amount of data to improve the decision-making process. Consumers are presented […]


Data Science

Data Analytics Technology is Positively Disrupting the World of Sports

April 25, 2022

Via: SmartData Collective

In recent years, organized sports have been steadily changed by big data. The news programs and sports updates shown on television have been made to be more entertaining, partly because of research conducted and the information analyzed. This information is […]


Data Science

Top Benefits of Using Docker for Data Science

February 3, 2022

Via: SmartData Collective

Docker is one of the two most popular DevOps platforms for data scientists. There are over nine million Docker accounts and the number of developers using Docker is growing 30% a year. There are a lot of compelling reasons that […]


Data Science

5 Ways Where Data-Driven Analytics Reshaped The Software Industry

February 3, 2022

Via: SmartData Collective

Thanks to the rapid digital transformation, the software industry is one of the fastest-growing industries globally. Data analytics helps to determine the success of the business. Although the COVID-19 pandemic harmed several businesses, the software industry didn’t suffer much of […]


Data Science

Top 15 Data Science Trends and Predictions For 2022

January 3, 2022

Via: Big Data Analytics News

The rise of data science as a field of study and viable application throughout the last century has prompted the improvement of technologies, for example, deep learning, natural language processing, and computer vision. Overall, it has empowered the development of […]


Data Science

Best practices for developing governable AI

December 14, 2021

Via: Info World

Building and deploying strong, robust artificial intelligence (AI) and machine learning (ML) models is complex and challenging work. If you are like many data science and machine learning leaders that I have spoken to lately, you are having conversations with […]


Data Science

How CI/CD is different for data science

November 23, 2021

Via: Info World

Agile programming is the most-used methodology that enables development teams to release their software into production, frequently to gather feedback and refine the underlying requirements. For agile to work in practice, however, processes are needed that allow the revised application […]


Data Science

3 ways to use data, analytics, and machine learning in test automation

October 18, 2021

Via: Info World

Just 10 years ago, most application development testing strategies focused on unit testing for validating business logic, manual test cases to certify user experiences, and separate load testing scripts to confirm performance and scalability. The development and release of features […]


Data Science

Top 5 Mistakes Companies Make with Data Science

October 1, 2021

Via: Big Data Analytics News

Today, such concepts as “big data” and “real-time” analytics are strongly entering the enterprise world. Data-driven decision-making has proven to outperform intuition and questionable judgement. How can companies tackle advanced data technologies to achieve their goals? Which issues can they […]


Data Science

Writing the Ideal Resume for Your Next Job in Data Science

September 27, 2021

Via: SmartData Collective

While it might sound ironic that high-tech fields such as data science still require you to submit a resume, even the most cursory look over a list of job openings should prove this to be true. Managers and HR department […]