Emerging Tech: Page


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    Tableau and DotData partner on AI automation, visualization

    Tableau and DotData partner to help data scientists and engineers accelerate machine learning automation while adding a visualization layer to model building.

    By • Sept. 15, 2021
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    Opinion

    Model optimization methods to cut latency, adapt to new data

    This last part of the series on machine learning explains two final model optimization techniques: lightweight model implementation and incremental model learning.

    By Arcitura Education • Sept. 14, 2021
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    Opinion

    ML model optimization with ensemble learning, retraining

    Making ML models better post-deployment can be accomplished. Learn the ins and outs of two key techniques: ensemble learning and frequent model retraining.

    By Arcitura Education • Aug. 20, 2021
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    DataRobot acquires Algorithmia to further MLOps goal

    DataRobot continues to pursue its growth-by- acquisition strategy by buying MLOps vendor Algorithmia in a bid to become a full-service machine learning platform provider.

    By • July 27, 2021
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    recurrent neural networks

    A recurrent neural network (RNN) is a type of artificial neural network commonly used in speech recognition and natural language processing.

    By TechTarget Contributor, Nicole Laskowski • July 12, 2021
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    Opinion

    2 supervised learning techniques that aid value predictions

    Learn how two supervised machine learning techniques -- numerical prediction and category prediction -- work to predict values and, thus, can aid model training.

    By Arcitura Education • June 16, 2021
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    DataRobot integrates AI modeling tools with Snowflake

    The AI vendor and cloud data warehouse vendors' latest collaboration will enable joint customers to develop and deploy AI models with fewer production lags.

    By Paula Rooney, News Writer • June 9, 2021
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    Opinion

    Wrangling data with feature discretization, standardization

    A variety of techniques help make data useful in machine learning algorithms. This article looks into two such data-wrangling techniques: discretization and standardization.

    By Arcitura Education • June 8, 2021
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    Opinion

    2 data-wrangling techniques for better machine learning

    Before data can be usefully inputted into algorithms, it must first be prepared. Learn two of the techniques that do the job and make machine learning work.

    By Arcitura Education • May 11, 2021
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    How data science jobs will look in the future

    Data scientists vs. machine learning engineers

    The positions of data scientist and machine learning engineer are in high demand and are important for enterprises that want to make use of their data and use AI.

    By • May 5, 2021
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    Opinion

    Moving beyond NLP to make chatbots smarter

    Machine reasoning could help chatbots better understand context, which is crucial to understanding human emotions and formulating emotionally relevant responses.

    By Kathleen Walch, Cognilytica • April 29, 2021
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    Opinion

    How feature selection, extraction improve ML predictions

    In this discussion of machine learning patterns, learn how feature selection and feature extraction help make data more useful and, thus, improve predictions.

    By Arcitura Education • April 22, 2021
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    IBM acquires MyInvenio to build its automation portfolio

    IBM could use MyInvenio's process mining platform to direct its customers to its automation and AI portfolio, a practice that other technology vendors are using.

    By Mark Labbe • April 15, 2021
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    Opinion

    Associativity, graphical summary computations aid ML insights

    Associativity computation and graphical summary computation allow for more complex insights, and in turn improve predictions. Explore how these ML techniques work in practice.

    By Arcitura Education • April 12, 2021
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    Opinion

    Common ML patterns: Central tendency and variability

    Four common patterns provide approaches to solving machine-learning problems. Learn how two -- central tendency computation and variability computation -- work.

    By Arcitura Education • March 23, 2021
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    Google will develop RPA with Automation Anywhere

    Google Cloud and a top robotic process automation vendor team up to focus on automating back-office tasks and later industries such as financial services, healthcare and retail.

    By Mark Labbe • March 15, 2021
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    Broad use of EHR voice assistants still years away

    EHR voice assistants aren't much more than a Siri-type interface to the patient's healthcare record right now. But vendors and clinicians see big things for the tech.

    By Makenzie Holland • March 9, 2021
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    Opinion

    Unsupervised machine learning: Dealing with unknown data

    Learn how machine learning works when dealing with unclassified, unlabeled data sets and how, using certain algorithms and other practices, the system can learn on its own.

    By Arcitura Education • March 6, 2021
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    Opinion

    The supervised approach to machine learning

    In part 2 of our machine learning tutorial, learn how to use the supervised learning approach to machine learning to produce the best predictions.

    By Arcitura Education • March 6, 2021
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    Mastercard senior VP talks about AI and fraud prevention

    Mastercard uses and sells AI-powered technology to prevent fraud and has found that AI-powered services can inspire customer loyalty.

    By Mark Labbe • March 5, 2021
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    Cutting through the fear of how AI will affect jobs through automation

    Dive into Steven Shwartz's recent book, 'Evil Robots, Killer Computers, and Other Myths,' with a chapter excerpt on employment and the future of work.

    By Kassidy Kelley; Fast Company Press • March 3, 2021
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    AWS SageMaker training, making machine learning accessible

    Making machine learning more accessible and helping developers with AWS SageMaker training is at the core of Julien Simon's book, 'Learn Amazon SageMaker.'

    By Joseph Carew, Packt Publishing • March 1, 2021
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    Robotics company Berkshire Grey will go public

    Berkshire Grey is the latest AI firm to go public, after the robotics vendor said it will merge with a special-purpose acquisition company. The move comes amid a surge in AI IPOs.

    By Mark Labbe • Feb. 24, 2021
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    Opinion

    Free machine learning course: Using ML algorithms, practices and patterns

    This 13-lesson series offers an overview of machine learning and its applications for those hoping to break into the machine learning job market or learn more about this technology.

    By Arcitura Education • Feb. 19, 2021
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    Opinion

    Introduction to using machine learning

    The first part of our machine learning series, excerpted from training materials for Arcitura's Machine Learning Specialist certification, introduces algorithms, models and model training.

    By Arcitura Education • Feb. 18, 2021