#machine learning

Interview with Markus Ehrenmüller-Jensen

“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.

2017 Emerging Technology Domains Risk Survey

Machine learning deemed a high security risk, survey finds

The CERT Division of Carnegie Mellon University’s Software Engineering Institute has published an updated list of technologies that might give us headaches in the security department. Both machine learning and blockchain have made the cut but that’s actually not a comforting thought, especially since the former is one of the three domains that must be considered high priority for outreach and analysis in 2017.

Machine learning for fun and profit

Code-free machine learning with the Teachable Machine

Machine learning is the hottest tech trend these days. Now, the barriers to entry are lower than ever with Google’s Teachable Machine from the A.I. Experiment, which promises to help users learn about machine learning… without using a single line of code.

Interview with David Robinson, Data Scientist at Stack Overflow

Python’s growth comes from the enormous expansion of data science and machine learning

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.

Interview with JAX London speakers Sumanas Sarma and Rob Hinds

Machine Learning essentials: Best practices, categories and misconceptions

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.

Brings machine learning into the browser

Google’s Deeplearn.js comes to the rescue of machine learning aficionados

Companies are racing to find programmers capable of coding for ML and deep learning but, as Googlers Nikhil Thorat and Daniel Smilkov point out, “the development of ML systems is often restricted to those with computational resources and the technical expertise to work with commonly available ML libraries.” Enter deeplearn.js, an open source JavaScript library for machine learning.