Introduction In an earlier article I mentioned briefly some possibilities for bringing python-trained machine learning models into production. Specifically, a java environment. In this article I will take a closer look at how this can done and what pitfalls we should avoid. Keras In the words of the Keras website,
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Introduction When we work with classification or regression models we are seeking to predict either a discrete value, or a value along a continuum. The accuracy of these models is implicit in the metric we use when training: either in the cost function during the actual training, or something like
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Introduction Why Dask? For those of us who regularly work with python machine learning libraries, the Pandas DataFrame library is a firm fixture in our toolkit. Pandas DataFrames allow fast and efficient manipulation of data and a host of data wrangling functions. And the processing is fast because pandas does
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Experts more and more promote “cloud solutions” in industrial production. So it may be a good moment to look into the pros and cons of classical “on premise solutions”. We look into the example of tool identification systems.
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Introduction This is the next article in my collection of blogs on anomaly detection. This time we will be taking a look at unsupervised learning using the Isolation Forest algorithm for outlier detection. I’ve mentioned this before, but this time we will look at some of the details more closely.
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We can all think of examples of successful forecasting, but what should we be aware of and what pointers can we adopt going forward?
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RFID is key in auto identification technologies In the course of the evolving digitalization, industrial companies automate more and more manual processes. Consequently, they transfer paper-based tasks in the field of identification to digital solutions. So, one important enabling technology is radio frequency identification (RFID). Since this technology is mature,
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Why are Auto ID technologies such as RFID beneficial for the medical industry? First, and most important, Automatic Identification and Data Capture technology (AIDC) conquer different industries step by step. So, why it should not be used in the medtech industry? Therefore, you gain now insights in five use cases
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What is Central Sterilization? CSSD is short for Central Sterilization Services Department in hospitals. In short, this the place employees and machines sterilize medical devices and equipment for subsequent use. Those devices are e.g. surgical instruments. Finally, the overall target of sterilization services is to prevent infection of personnel and
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Not all models need to be pre-trained. Sometimes it is more effective to apply algorithms inline to small batches of data.
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