Jan
28,
2020
Deep Learning: Not only in Python
Although there are powerful and comprehensive machine learning solutions for the JVM with frameworks such as DL4J, it may be necessary to use TensorFlow in practice. This can, for example, be the case if a certain algorithm exists only in a TensorFlow implementation and the effort to port the algorithm into another framework is too high. Although you interact with TensorFlow via a Python API, the underlying engine is written in C++. Using the TensorFlow Java wrapper library, you can train and inference TensorFlow models from the JVM without having to rely on Python. Existing interfaces, data sources, and infrastructures can be integrated with TensorFlow without leaving the JVM.
Oct
24,
2019
Machine Learning finds its way into .NET with .NET Core 3
.NET Core is not only including WPF and WinForms in the new open source implementation of .NET - Microsoft now wants to make machine learning usable for everyone. That's why machine learning is now making its way into .NET Core with the ML.NET Framework. In this series of articles, we'll show you what ML.NET can do, what options the developer has available, what the tooling and APIs look like, and what’s happening behind the scenes.
Sep
17,
2019
Innovative machine learning with the Apache Kafka Ecosystem
Machine Learning (ML) allows applications to obtain hidden knowledge without the need to explicitly program what needs to be considered in the process of knowledge discovery. This way, unstructured data can be analyzed, image and speech recognition can be improved and well-informed decisions can be made. In this article we will in particular discuss new trends and innovations surrounding Apache Kafka and Machine Learning.
Feb
19,
2019
TensorFlow.js: What is possible with Machine learning in the browser?
When you talk about Machine Learning and Google's TensorFlow, most people think of Python and specialized hardware rather than JavaScript and any browser. This article explains what TensorFlow.js can do and why it makes sense to run machine learning in a browser.
Sep
27,
2018
Man & Machines: The Dreamteam for your intelligent Marketing Strategy
Machine learning enables customized conversations between man and machine that can result in buying decisions. We asked Tina Nord and Kathleen Jaedtke to explain how this can be achieved through the use of dialogue-oriented technologies. Let’s take a look at how communication between man and machines works.
May
8,
2018
An interdisciplinary approach to artificial intelligence testing
Humanity is confronted more than ever with artificial intelligence (AI), yet it is still challenging to find a common ground. We talked with Marisa Tschopp, researcher at scip ag about Artificial Intelligent Quotient (A-IQ), how to automate A-IQ testing and more.
Nov
9,
2017
Machine Learning as a microservice in a Docker container on a Kubernetes cluster — say what?
It is always fascinating to see the versatile ways in which machine learning can be used. At Outfittery, algorithms help the experts select the most suitable outfits for customers — quite literally. In this interview ML Conference speaker Jesper Richter-Reichhelm, CTO at Outfittery GmbH, explains how the company uses machine learning and which frameworks they use. He also tells us who makes better suggestions — human beings or machines.
Oct
29,
2017
“There are always surprises when you work with data because data is not very clean, naturally”
Our first ML Conference will debut in December in Berlin. Until then, we’d like to give you a taste of what’s to come. We talked with, Markus Ehrenmüller-Jensen, Business Intelligence Architect at Runtastic about how the company involves machine learning into their daily business, the benefits, the battle scars and everything in between. Also, you’ll get a sneak peek at his talk.