Artificial intelligence and machine learning are changing many industries, including e-commerce. This article examines some of the biggest trends in e-commerce that have appeared thanks to the growing use of AI technologies. Using these technologies can set your enterprise ahead of the competition and give you the edge you need.
Honey bee colony assessment is usually carried out via the laborious manual task of counting and classifying comb cells. Beekeepers perform this task many times throughout the year to asses the colony’s strength and to track its development. As you can imagine, this is an extremely time-consuming and error-prone task.
What lessons can Twitter and Facebook teach us about machine learning? These tech giants provide some ‘what to do’s, and even some ‘what not to do’s. Keep these important tips and practices in mind in order to improve your business model. Make sure you don’t forget about the end users’ experience and strive towards the best result.
At Machine Learning Conference 2019 in Munich, Christoph Henkelmann gave a talk about TensorFlow training on the JVM. We recorded the whole thing, and now you can watch it here (including slides) to learn all about how to combine a TensorFlow model with Java.
Reinforcement learning learns complex processes autonomously. No big data sets with the “right” answers are needed; the algorithms learn by experimenting. By using reinforcement learning, robots learn to walk, beat the world champion in Go, or fly a helicopter.
We are one step closer to TensorFlow 2.0.0. The new release candidate, 2.0.0-rc2 includes new features, improvements, breaking changes, and bug fixes. Catch up on what’s expected to arrive in TensorFlow 2.0. The next major release focuses on ease of use and simplicity, with plenty of updates and easy model building with Keras.
Mobile developers: What are some of the ways that you can implement machine learning into an Android application? If you have been planning your very own ML-based app solution, read on to learn about a few applications of non-device machine learning. Find out some basic ML APIs and their potential uses in mobile apps.
In his talk at Machine Learning Conference 2019 in Munich, Oliver Zeigermann talked about how chess engines work. Game playing is a classic discipline of AI and had a major break through in the 90s when Deep Blue defeated Kasparov and arguably became the world’s best chess player.
Machine learning has many use cases and offers up a world of possibilities. However, some people might be put off and think it’s too difficult. It’s not. You don’t have to be a machine learning pro to use TensorFlow Lite. Here’s how to get started building your own customized machine learning model on Android.
Eric Reiss started working with user experience (UX) long before the term was even known. Over the past 40 years, he has encountered many issues that have disturbed him – from creating purposely addictive programs, sites, and apps, to the current zeitgeist for various design trends at the expense of basic usability.
The success of deep neural networks in diverse areas as image recognition and natural language processing has been outstanding in recent years. However, classical machine learning and deep learning algorithms can only propose the most probable solutions and are not able to adequately model uncertainty.
DevOps means development is moving faster than ever. How is it possible to ensure everything is secure, especially when migrating to the cloud? Ivan Novikov takes a close look at how to keep everything moving at pace without leaving gaping security gaps behind.
Every Monday, we take a step back and look at all the cool stuff that went down during the previous week. Last week we had an eye-opening interview about OpenWebStart, discussed the implications of the GitHub restrictions imposed over trade laws & more. Let’s take a look.
Artificial intelligence and machine learning are changing how marketing campaigns work for many companies. They make it possible to transform datasets that allow better decision-making. However, it is not a magic solution, and there are still a few things you should not do when implementing AI and ML.