It’s safe to say that Python is everywhere we turn, from DevOps to machine learning and data science. Stack Overflow seems to agree — according to their calculations, Python is the fastest growing programming language right now. We talked with David Robinson, Data Scientist at Stack Overflow about Python’s growth and the possible reasons behind it.
Machine Learning is the next big thing. Are you ready? The ML Conference 2017 program is now live! Here’s a sneak peek of some of the awesome sessions, workshops, and keynotes that are already scheduled. Book your tickets now and save up to €180!
Eclipse Picasso is a free open-source DNN visualization tool that gives you partial occlusion and saliency maps with minimal fuss. In this article, Ryan Henderson explains some of the problems that arise with machine learning and how you can avoid them with Eclipse Picasso.
How do you incorporate machine learning into your development cycle? JAX London speaker Rob Hinds explains how you can adapt your process to include machine learning while still staying true to agile and lean principles.
Machine learning is showing up in all sorts of places in tech. These days, it can even be found in speeding up search engines. We talked with Shay Banon, Founder & CEO of Elastic, creator of Elasticsearch, about machine learning and its impact on the field of search engines.
Python’s been around for some time, but it seems to be everywhere we turn, from DevOps to machine learning. Stack Overflow agrees; they’ve calculated that Python is the fastest growing programming language right now. So, we’re taking a closer look at this functional programming language.
Artificial Intelligence and Machine Learning are all the rage right now. Many companies feel the pressure to invest in an AI strategy before fully understanding what they are aiming to achieve. We talked with JAX London speakers Sumanas Sarma and Rob Hinds about the different types of ML tasks, the most suitable programming language for ML, misconceptions and more.
Just off a stint at Baidu’s AI Group, Andrew Ng is here to bring artificial intelligence to the masses. Deeplearning.ai and Coursera are teaming up to bring a new sequence of online classes to help you learn to code AI.
Not content with beating humans at quiz shows, IBM is moving forward with its Watson Machine Learning service. Now generally available after a year’s worth of beta testing, WML promises to address the needs of both data scientists and devs.
These days, it seems that tech companies can’t hire their AI or ML specialists fast enough. So if you’re looking to upgrade your skillset or just fiddle around with a cool new tool, we’ve got you covered with our top 5 picks for the best open-source tools for machine learning.
Machine learning is the future. If, of course, we can teach computers to understand the signal from the noise. Neural networks are learning to do amazing things from recognizing images to driving and even coming up with recipes. But maybe we should hold off on hiring robots to replace our chefs.
Mesosphere DC/OS 1.9 adds three key new sets of features to simplify the process of building and deploying data-rich applications.
Companies are scrambling to find enough programmers capable of coding for ML and deep learning. Are you ready? Here are five of our top picks for machine learning libraries for Java.