Remove Deep Learning Remove Machine Learning Remove Prescriptive Analytics Remove Testing
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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is machine learning? This post will dive deeper into the nuances of each field.

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Skilled IT pay defined by volatility, security, and AI

CIO Business Intelligence

There’s also strong demand for non-certified security skills, with DevSecOps, security architecture and models, security testing, and threat detection/modelling/management attracting the highest pay premiums. AI skills more valuable than certifications There were a couple of stand-outs among those.

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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning.

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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

More use-cases are being tried, tested and built everyday, the innovation in this field will not cease for the next few years. But AI platforms like TensorFlow, MS Azure and Google AI allow large sets of data to be used for training, testing, developing and deploying AI applications and algorithms. Applications of AI. AI in Marketing.