A Technology Broker and Management Company Specializing in KM Systems
Favorite As businesses around the world are embarking on building innovative solutions, we’re seeing a growing trend adopting data science workloads across various industries. Recently, we’ve seen a greater push towards reducing the friction between data engineers and data scientists. Data scientists are now enabled to run their experiments on
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Shared by AWS Machine Learning February 18, 2021
Favorite Given the rising demand for fast and effective COVID-19 detection, customers are exploring the usage of respiratory sound data, like coughing, breathing, and counting, to automatically diagnose COVID-19 based on machine learning (ML) models. University of Cambridge researchers built a COVID-19 sound application and demonstrated that a simple binary
Read More Shared by AWS Machine Learning February 18, 2021
Favorite Dr. Marian Croak has spent decades working on groundbreaking technology, with over 200 patents in areas such as Voice over IP, which laid the foundation for the calls we all use to get things done and stay in touch during the pandemic. For the past six years she’s been
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Shared by Google AI Technology February 18, 2021
Favorite In this post, we discuss solving numerical optimization problems using the very flexible Amazon SageMaker Processing API. Optimization is the process of finding the minimum (or maximum) of a function that depends on some inputs, called design variables. This pattern is relevant to solving business-critical problems such as scheduling,
Read More Shared by AWS Machine Learning February 17, 2021
Favorite JavaScript Object Notation (JSON) is a schema-less, lightweight format for storing and transporting data. It’s a text-based, self-describing representation of structured data that is based on key-value pairs. JSON is supported either natively or through libraries in most major programming languages, and is commonly used to exchange information between
Read More Shared by AWS Machine Learning February 16, 2021
Favorite Training an accurate machine learning (ML) model requires many different steps, but none are potentially more important than data processing. Examples of processing steps include converting data to the input format expected by the ML algorithm, rescaling and normalizing, cleaning and tokenizing text, and many more. However, data processing
Read More Shared by AWS Machine Learning February 16, 2021
Favorite For many students, embarking on a higher education journey is an exciting time filled with new experiences. However, like anything new, it also can also bring plenty of questions to answer and obstacles to overcome. Oklahoma State University, Oklahoma City (OSU-OKC) recognized this, and was intent on providing a
Read More Shared by AWS Machine Learning February 16, 2021
Favorite PyTorch is an open-source machine learning (ML) library widely used to develop neural networks and ML models. Those models are usually trained on multiple GPU instances to speed up training, resulting in expensive training time and model sizes up to a few gigabytes. After they’re trained, these models are
Read More Shared by AWS Machine Learning February 12, 2021
Favorite Knowledge Management roles and accountabilities are one of the four legs on the KM table, but receive comparatively little attention. They seem to be a bit of a “blind spot”. In our consulting work, we find that Knowledge Management roles often do not get the same level of attention
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Shared by Nick Milton February 12, 2021
Favorite The ability to rapidly iterate and train machine learning (ML) models is key to deriving business value from ML workloads. Because ML models often have many tunable parameters (known as hyperparameters) that can influence the model’s ability to effectively learn, data scientists often use a technique known as hyperparameter
Read More Shared by AWS Machine Learning February 10, 2021