Books (By Me!)
Events (I Speak At!)
2022 Predictive Analytics World
2022 DevIntersection Conference
2022 Black Hat Conference
2022 Spring MLADS Conference
2022 Money 20/20 Conference
2022 DEFCON Conference
2022 G2E Conference
2022 Visual Studio Live Conference
2021 National Homeland Security Conference
2023 ICGRT Conference
2023 CEC eSports Conference
2021 Azure AI Conference
2022 ISC West Conference
2022 ConnectIT Conference
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Category Archives: Conferences
MNIST Image Classification Using Keras 2.8 on Windows 11
One of my standard neural network examples is image classification on the MNIST dataset. The full MNIST (modified National Institure of Standards and Technology) dataset has 60,000 images for training and 10,000 images for testing. Each image is a 28 … Continue reading
Posted in Keras, PAW
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MNIST Image Classification Using PyTorch 1.10 on Windows 11
One of my standard neural network examples is image classification on the MNIST dataset. The full MNIST (modified National Institute of Standards and Technology) dataset has 60,000 images for training and 10,000 images for testing. Each image is a 28 … Continue reading
Posted in PAW, PyTorch
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Regression (Employee Income) Using Keras 2.8 on Windows 11
One of my standard neural network examples is to predict employee income from sex, age, city, and job-type. Predicting a single numeric value is usually called a regression problem. (Note: “logistic regression” predicts a single numeric probability value between 0.0 … Continue reading
Posted in Keras, PAW
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Regression (Employee Income) Using PyTorch 1.10 on Windows 11
One of my standard neural network examples is to predict employee income from sex, age, city, and job-type. Predicting a single numeric value is usually called a regression problem. (Note: “logistic regression” predicts a single numeric probability value between 0.0 … Continue reading
Autoencoder Anomaly Detection Using Keras 2.8 on Windows 11
Every few months I revisit my standard neural network examples to make sure that changes in the underlying code libraries (PyTorch, Keras/TensorFlow) haven’t introduced a breaking change(s). One of my standard examples is autoencoder anomaly detection. The idea is to … Continue reading
Posted in Keras, PAW
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Logistic Regression for the Banknote Problem Using Raw Python
Every few months I implement a logistic regression (binary classification) model using raw Python (or some other language). The idea is that coding is a skill that must be practiced. One rainy Pacific Northwest afternoon, I zapped out logistic regression … Continue reading
Posted in Machine Learning, PAW
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Autoencoder Anomaly Detection Using PyTorch 1.10 on Windows 11
Every few months I revisit my standard neural network examples to make sure that changes in the underlying code libraries (PyTorch, Keras/TensorFlow) haven’t introduced a breaking change(s). One of my standard examples is autoencoder anomaly detection. The idea is to … Continue reading
Posted in PAW, PyTorch
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Naive Bayes Classification Example Using Raw Python 3.7
I’m preparing the content for an all-day hands-on workshop. My main topics are all about neural networks, but I have a few classical techniques too, including naive Bayes classification. Here’s an example that I’ll use in the workshop. There are … Continue reading
Posted in Machine Learning, PAW
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Preparing a Machine for the 2022 Predictive Analytics World All-Day Workshop
I will be presenting an all-day, hands-on machine learning workshop at the 2022 Predictive Analytics World (PAW) and Machine Learning Week (MLW) events, on Monday, June 20, in Las Vegas. See https://www.predictiveanalyticsworld.com/machinelearningweek/. The PAW / MLW events have lots of … Continue reading
Posted in Keras, Machine Learning, PAW, PyTorch
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Installing Keras 2.8.0 on Windows 10/11
Keras is a neural network code library. Keras relies on another library called TensorFlow. If you install TensorFlow you also install Keras. Note: In older versions, you had to install TensorFlow and Keras separately. Prerequisites: A machine with a relatively … Continue reading
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