AI: The Horsepower of the Future
The year 2021 may well see a turn in the trajectory of AI. As DataRobot notes in its predictions for the new year, “Within the enterprise, we finally expect a wholesale...
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Application of Data Science in Affiliate Marketing
Affiliate marketing is a mainstream strategy to drive deals and produce various income from it. It is exceptionally helpful for the two brands and partner advertisers, wh...
AI and its Importance in Financial Crime Investigation
Artificial intelligence, among the most prevalent technologies in the world at the moment, has made significant contributions to the world around us ever since it first e...
How to Overcome Web Scraping Challenges With AI & ML Technology
Artificial Intelligence (AI) and Machine Learning (ML) are already being leveraged for increased efficiency and greater success in public web data-gathering operations. I...
All You Should Know About Data Security in 2020/2021
Database security refers to the different tools and processes employed in the protection of personal data and sensitive information to prevent unauthorized access and pre...
How to use MLOps for an effective AI strategy
The Machine Learning Lifecycle (Adapted from Microsoft’s – Data Science Lifecycle) 87% of machine learning projects fail to make it into production. Deploying ML mo...
How Data Virtualization Can Remove the Bottlenecks to Data Science
Many of the stages in a typical data science lifecycle have more to do with data than they do with science. Before the data scientist can actually engage in science, ther...
Tools And Models Used In Software Testing
Nowadays, if we look around, we can see that everything from jobs and entertainment to smart homes and vehicles depend on some type of computer software. So before the so...
Data Science Central Weekly Digest, 18 Jan 2021
From the Editor’s Desk When working with information, context is becoming increasingly important. All too often, data scientists and analysts tend to work upon the ...
4 Common Data Analysis Mistakes to Watch Out For
Statistical analysis is poorly misunderstood by many, resulting in array of problems. There are many ways to ruin your data analysis. 4 of the less well-known mistakes to...