Tag Archives: Machine Learning

In the 3rd part of this series I am going to complete the description started in part 2 of the data preparation process for training and evaluation purposes of a LSTM model in time series forecasting. The data set used is the same as for part 1 and part 2. Same as for all of the post of this series, ...

In the second post of this series we are going to learn how to prepare data for training and evaluation of a LSTM neural network for time series forecasting. Same as for any other post of this series I am referring to Python 3. The data set used is the same as for part 1.LSTM (Long-Short Term Memory) neural networks are a ...

During the last part of my career I had a chance to work with Data Scientists having strong skills in Python. My tech background, after a start with C/C++, is in JVM programming languages mostly (but I had to touch several others during my career), so it was a great chance for me to learn more about practical Python, at ...

Disruptive technologies like artificial intelligence, machine learning, the Internet of Things has the potential to fall into the endless pit of buzzword-vagueness. The world is changing at a breathtaking pace. Within a blink of an eye, you will have missed yet another disruption, another tech-driven innovation. But instead of running away, it’s time to embrace it! The digital revolution has ...

This article describes how to use Transfer Learning to classify images using Tensorflow Machine Learning platform. In Machine Learning context, Transfer Learning is a technique that enables us to reuse the model already trained and use it in another task. Image classification is the process of taking an image as input and assigning to it a class (usually a label) ...

This article describes how to apply Machine Learning to Android using Fritz.ai. Before diving into the details about how to develop a Machine learning Android app, it is useful to describe briefly what is Fritz.ai platform. As you may know, Machine Learning is an interesting topic that is gaining importance and promises to transform several areas including the way we ...

Why would a data scientist use Kafka Jupyter Python KSQL TensorFlow all together in a single notebook? There is an impedance mismatch between model development using Python and its Machine Learning tool stack and a scalable, reliable data platform. The former is what you need for quick and easy prototyping to build analytic models. The latter is what you need ...

I added a new example to my “Machine Learning + Kafka Streams Examples” Github project: “Python + Keras + TensorFlow + DeepLearning4j + Apache Kafka + Kafka Streams“. This blog post discusses the motivation and why this is a great combination of technologies for scalable, reliable Machine Learning infrastructures. For more details about building Machine Learning / Deep Learning infrastructures ...

There’s no doubt that the test automation space is undergoing transformation. Machine Learning (ML), Deep Learning and Artificial Intelligence (AI) are being leveraged more and more as part of the test authoring and test analysis. While the space is still growing from a maturity stand-point, it is a great time for practitioners (developers and test engineers) to start understanding the ...