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Data Mining Technology Helps Online Brands Optimize Their Branding

Smart Data Collective

Data mining technology is one of the most effective ways to do this. By analyzing data and extracting useful insights, brands can make informed decisions to optimize their branding strategies. This article will explore data mining and how it can help online brands with brand optimization. What is Data Mining?

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DirectX Visualization Optimizes Analytics Algorithmic Traders

Smart Data Collective

A growing number of traders are using increasingly sophisticated data mining and machine learning tools to develop a competitive edge. Using the DirectX analytics interface can enable you to pick out important trading insights and points, which simplifies algorithmic trading. Technical indicators can interpret them.

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Search Engine Marketers Without Data Analytics Knowledge Are Obsolete

Smart Data Collective

The changing reality of search engine marketing is in equal parts intimidating and fascinating, as more experts must turn to data analytics to make meaningful SEO insights. They won’t be able to optimize their paid ads strategy without collecting data on user engagement. The simple answer is no.

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What is NLP? Natural language processing explained

CIO

How natural language processing works NLP leverages machine learning (ML) algorithms trained on unstructured data, typically text, to analyze how elements of human language are structured together to impart meaning. An NLP algorithm uses this data to find patterns and extrapolate what comes next. Amazon Comprehend.

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The top 15 big data and data analytics certifications

CIO

Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications. The number of data analytics certs is expanding rapidly.

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What is a data engineer? An analytics role in high demand

CIO

This IT role requires a significant set of technical skills, including deep knowledge of SQL database design and multiple programming languages. Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets.

Knowledge 847
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Belcorp reimagines R&D with AI

CIO

The second stage focused on building algorithms and models to predict and simulate intricate biological conditions, accelerate discoveries, reduce risks, and optimize the cost-benefit ratio of technological developments using AI solutions. The team leaned on data scientists and bio scientists for expert support.