Remove introduction-machine-learning
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Ever Smarter Software: The Ultimate Introduction to Machine Learning

UruIT

We’ll break it down in this Introduction to Machine Learning Guide. Healthcare providers, retailers, insurance companies, call centers (the list is endless) can all find value in big data and machine learning to better serve customers, capitalize on trends, calculate risk, etc. Contact us !

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Exposure to new workplace technologies linked to lower quality of life

CIO

The researchers discovered that workers who used three of these technologies — AI and machine learning software, wearable trackers for surveillance, and robotics — reported a lower level of health-related well-being, according to a widely used standardized measurement. using wearables, 20.8% AI software, and 23.7%

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What is NLP? Natural language processing explained

CIO

Search engines, machine translation services, and voice assistants are all powered by the technology. 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.

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Machine learning for Java developers: Machine learning data pipelines

InfoWorld

The article, Machine learning for Java developers: Algorithms for machine learning , introduced setting up a machine learning algorithm and developing a prediction function in Java. You'll get a quick introduction to Weka, a machine learning framework for Java.

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Future-Proofing Your Business with Hyperautomation

CIO

However since then great strides have been made in machine learning and artificial intelligence. Mordor Intelligence sees the increasing incorporation of machine learning tools into hyperautomation products as being one of the main drivers of market growth. It’s been around since the early 2000s. This is hyperautomation.

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Mozilla buys Fakespot, a startup that identifies fake reviews, to bring shopping tools to Firefox

TechCrunch

Founded in 2016, New York-based Fakespot uses an AI and machine learning system to detect patterns and similarities between reviews in order to flag those that are most likely to be deceptive. Fakespot’s offerings can be used to spot fake reviews listed on various online marketplaces including Amazon, Yelp, TripAdvisor and more.

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Machine learning model serving architectures

Xebia

After months of crunching data, plotting distributions, and testing out various machine learning algorithms you have finally proven to your stakeholders that your model can deliver business value. For the sake of argumentation, we will assume the machine learning model is periodically trained on a finite set of historical data.