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2,019+ research articles, technical guides, and in-depth analyses authored by council members and industry experts.
Articles - Page 113
2,019 articles
Key Elements of an Effective Cybersecurity Plan
Security presents several challenges to organizations today, and it can be difficult for organizations to keep up with the increase in cyber threats. Although it is necessary to use technology to provide automated layer security, merely using technology is not enough. Organizations need to…
Overfitting and Underfitting in Machine Learning
A model is said to be a robust machine learning model if it correctly generalizes any new input data from the problem domain. It lets us make assumptions about future data that the computer model has never seen before. To test how well a machine learning model learns and generalizes new data, we…
How is AI Revolutionizing Manufacturing?
Artificial Intelligence has changed the scenario for almost every industry. As technology has matured with big data and cloud computing, the cost has dropped, making AI more accessible to companies. It has also left its footprints in manufacturing. The manufacturing industry is always eager…
How is Data Science a Game-Changer in Today’s World?
Data science, which is marked as a significant technology of today, has been a game-changer across different industries. In a world where high-level process digitization is on the rise, data generation is in volume, giving rise to the demand for data science technology and its tools. When…
Machine Learning Vs. Deep Learning: A Comparison Guide
Learning the latest developments in artificial intelligence that seem daunting, but if you know the basics you’re interested in, you can boil most AI innovations down to two concepts: machine learning and deep learning. These terms often seem to be interchangeable buzzwords, so it’s…
Best Open-Source Python Libraries to Learn in 2020
Python is a pool of open-source libraries, but which are worth your time? Which of them will be most used in 2020? Let’s find out! Python is a popular programming language that many developers use because of ease of learning and the capability to perform various tasks related to machine…
Fraud Detection: Artificial Intelligence in Banking
According to the latest reports by Artificial Intelligence Experts, cybercrime and financial fraud are presently costing the global economy 600 billion dollars. It’s equivalent to 0.8% of global GDP and calls for more robust security mechanisms than ever before. This is where Artificial…
How HR Using Data Analytics For Better Productivity
Analytics in HR is rapidly evolving as a phenomenon in the corporate world due to its in-depth processes that provide a structure for formulating solutions to various issues. According to a report by data science experts, company leaders rely on analytics to gain more actionable information and…
White Hat vs Black Hat vs Grey Hat Hacker
Not all hackers are evil. When used in mass media, the term, hacker, is generally used about cybercriminals, but a hacker maybe anyone, whatever their motives, who uses their knowledge of computer software and hardware to break down and circumvent security measures on a computer, system or network.…
Business Analyst vs Data Scientist: Its Time You Know the Difference
Data analytics is a part of the business all around the globe and plays a significant role in exponential growth. Big data has provided a chance to significantly improve operations and meet targets opening career choices such as Data Scientist and Business Analyst. Raw data is complex. Its…
Boosting Algorithms in Machine Learning: A Complete Guide
A lot of analysts misunderstand the word boosting used in data science. Let us see an interesting explanation of the term. Boosting gives power to machine learning models to improve their predictive accuracy. They are one of the most extensively used algorithms in data science competitions. To…
Top 5 Industries Using Data Analytics
We all know how big data has taken the world by storm. In the past, collecting and interpreting a large amount of data was not feasible because the technology that automated the process did not exist. But today, the new analytical tools have changed the way we analyze and manage data for any…