What is Edge AI
Discover the power, endless possibilities and benefits of Edge AI, revolutionizing industries with real-time insights, increased privacy and intelligent forecasting! Read more..
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Extreme Programming in Agile
Extreme Programming (XP) is a highly disciplined engineering practice that produces an effective and higher quality code in software development. It is often found that teams adopt agile methodology with a different framework and later shifted to extreme programming to get a better result. Read more..
Explainable AI
Explainable AI (XAI) encompasses techniques and principles aimed at making the decision-making processes of AI models transparent and understandable to humans. It is a critical component in ensuring AI’s accountability, fairness, and trustworthiness, especially in areas where AI decisions have significant ethical and practical implications. Read more..
10 Big data analysis techniques
Big data analytics is the specialized techniques and technologies used to process a large set of data. On-hand database tools are practically incompatible with processing such a large set of data. That’s where come big data analysis techniques that are useful to solve practical business data problems. Read more..
Apache Spark 101
In Big data space if we think about large-scale data processing, then Apache Spark is considered as a unified analytics engine. Read more…
Difference between Data lake and Data swamp
In the data storage, arena data lakes and data swamps are not new names. Both follow the same approaches for storing data compiling structured and unstructured data in one repository. In large enterprises, as they handle enormous amounts of data, they use both types of data storage – data lake and data swamp. As data lakes and…
Machine learning vs. Deep learning
Machine learning and Deep learning are the new buzz terms. Although everyone is talking about both and how they are changing the way we work and grow,there is an ambiguity about how machine learning and deep learning are different or whether they mean the same. Read more…
