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#machine learning

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.

Teaching robots their ABCs and 123s

Top 5 open-source tools for machine learning

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.

Hold off on hiring robots to replace our chefs

Mastering the art of machine learning cooking

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.