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Month: November 2020
1. Machine Learning : Machine learning is the subject of AI that makes use of statistics, fundamentals of computer science and arithmetic to construct good judgment for algorithms to operate the project such as prediction and classification. 2. Predictive Analytics : It entails certain manipulations on statistics from current records units with the purpose of … Continue reading Difference between Machine Learning and Predictive Analytics
CDH is an open-source distribution of Cloudera, which includes Apache Hadoop built to meet the Enterprise demands of customers. It is a modern platform to establish production-ready clusters for multiple environments. In this post, we illustrate some best practices and guidelines for the next part of the implementation process. Network Considerations HOSTNAME RESOLUTION, DNS AND … Continue reading Build Production Ready clusters for Big Data workloads
Machine Learning: It is a branch of computer science which makes use of cognitive mastering strategies to program their structures besides the need of being explicitly programmed. In different words, those machines are properly recognized to develop better with experience. Predictive Modelling: It is a mathematical approach which makes use of statistics and past trends … Continue reading Difference between Machine Learning and Predictive Modelling
What is Meta-Learning? In traditional Machine Learning domains, we usually take a huge dataset which is specific to a particular task and wish to train a model for regression/classification purposes using this dataset. That’s radically far from how humans take advantage of their past experiences to learn very quickly a new task from only a … Continue reading Learning to learn Artificial Intelligence | An overview of Meta-Learning
The advent of advanced insurance analytics and data processing is remodeling the future of the insurance industry. The revolutionary changes in technology have widened the sources for data collection and made more data available for better risk mitigation, improved policy formation, timely fraud detection, and improved customer satisfaction. Read More: Big Data Certification It is … Continue reading Insurance Data Analytics – Empowering The Insurers
Data mining: Data mining is the method of analyzing expansive sums of data in an exertion to discover relationships, designs, and insights. These designs, concurring to Witten and Eibemust be “meaningful in that they lead to a few advantages, more often than not a financial advantage.” Data in data mining is additionally ordinarily quantitative particularly … Continue reading Difference Between Data Mining and Data Visualization
Enterprise Doubles Down on the Benefits of Artificial Intelligence Science Daily defines Artificial Intelligence as “a system that perceives its environment and takes actions which maximize its chances of success.” Essentially, it’s software that can look at vast amounts of data and extrapolate patterns, offering data-backed solutions that businesses can take. That is is why … Continue reading Artificial Intelligence’s Impact on Procurement
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