Configuring a Neural Network Output Layer

May 3, 2022

Introduction If you have used TensorFlow before, you know how easy it is to create a simple neural network model using the Keras API. Just create an instance of the Sequential model class, add the number of desired layers and accompanying layer nodes, define the activation functions to be used by each layer, and compile…

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No Zero Padding with strftime()

Apr 5, 2022

One of the best features of Python is that it is platform independent. You can write code on Linux, Windows, and MacOS and it works on all three platforms with no problems…mostly. Admittedly there are some issues. Most of these are from known operating system differences when accessing system subprocesses or dealing with various local…

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Enthought | Got Data?

Got Data?

Mar 3, 2022

Introduction So, you have data and want to get started with machine learning. You’ve heard that machine learning will help you make sense of that data; that it will help you find the hidden gold within. Before you start sifting through your metaphorical gold mine, you realize you still have some unanswered questions:  How do I…

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Sorting Out .sort() and sorted()

Feb 3, 2022

Sorting Out .sort() and sorted() Sometimes sorting a Python list can make it mysteriously disappear.  This happens even to experienced Python programmers who use .sort() when they should have used sorted() instead. The differences between these two ways of sorting a list are presented in this blog. Author:  Eric Olsen, Senior DTX Services Consultant and…

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A Beginner’s Guide to Deep Learning

Feb 9, 2022

Deep learning. By this point, we’ve all heard of it. It’s the magic silver bullet that can fix any complex problem. It’s the special ingredient that can take any bland or rudimentary analysis and create an immense five course meal of actionable insights. But, what is at the core of this machine learning technique? Is…

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Giving Visibility to Renewable Energy

Oct 6, 2021

The ultimate project goal of EnergizAIR Infrastructure was to raise individual awareness of the contribution of renewable energy sources, and ultimately change behaviors. Now ten years later, with orders of magnitude more data, AI/machine learning, cloud, and smartphones in the hands of individuals, this is an idea whose time has come. Author: Didrik Pinte, M.S.,…

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Introducing Enthought Edge: Unlocking the Value of R&D Data

Sep 17, 2021

While the value of R&D data is clear, finding a way to sort through it can be daunting given the special handling required to extract its value. In fact, 75 percent of surveyed R&D executives believe advanced analytics techniques would play a pivotal role in their future R&D activities, but only 25 percent state that…

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Machine Learning in Materials Science

Aug 10, 2021

The process of materials discovery is complex and iterative, requiring a level of expertise to be done effectively. Materials workflows that require human judgement present a specific challenge to the discovery process, which can be leveraged as an opportunity to introduce digital technologies.  In the lab, many tasks require manual data collection and judgment. And…

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AI Needs the ‘Applied Sciences’ Treatment

Jun 30, 2021

As industries rapidly advance in AI/machine learning, a key to unlocking the power of these approaches for companies is an enabling environment. Domain experts need to be able to use artificial intelligence on data relevant to their work, but they should not have to know computer or data science techniques to solve their problems. An…

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Lessons for Geoscientists from the book Real World AI: A Practical Guide for Responsible Machine Learning

Jun 23, 2021

In this blog article Enthought Energy Solutions Vice President Mason Dykstra looks at the recently published book titled “Real World AI: A Practical Guide for Responsible Machine Learning” in the context of both the technical challenges faced by geoscientists and how to scale. Author: Mason Dykstra, Ph.D., Vice President, Energy Solutions  In the newly released…

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